Below is a list of books written with **bookdown**, including those published to bookdown.org (books without substantial content are excluded) and a few hosted on external servers. The books are ordered roughly by date. An asterisk `*`

after a date indicates the date is unknown, which often means a `date`

field is missing in the YAML metadata of the source document `index.Rmd`

. The list of books is automatically generated. For more information (including how to add or remove your books on this page), please see the About page.

# Guide to Wise Investing

## by Junghoon Shin

Investment databook containing business financials, industry and market environments, and global economy […] When I first stepped into the investment world, there was just too much information all over the newspapers, websites, books, YouTube, and even lunch table gossips which all seemed to be of the utmost importance to me. Some believed it was the perfect time to invest in the stock market, while others insisted that the whole market was significantly overheated by repeated fiscal stimulus packages from the government and we all should prepare for the impending market crash. I was so … Read more →

# Anotações do treinamento R

## by Robson Wilson Silva Pessoa

Este minicurso é dedicado aos integrantes do projeto Ciência de Dados na Escolas Pública. […] Para o treinamento em R para as atividades do projeto Ciência de Dados na Escola Pública é necessário conhecimento básico em R e linguagem de programação … Read more →

# Recitation 5 Note

## by Yiming Gong

This is class note for recitation 5. […] Compute the value (V (1)) of a portfolio worth initially (V (0) = 100) dollars that consists of two securities with weights (w_1 = 25%) and (w_2 = 75%), given that the security prices are (S_1(0) = 45) and (S_2(0) = 33) dollars initially, changing to (S_1(1) = 48) and (S_2(1) = 32) dollars. Question: which stock is the most risky? Even though an investment in either stock separately involves risk, we have reduced the overall risk to nil by splitting the investment between the two stocks. This is a simple example of diversification, … Read more →

# Course Notes for Introduction to Statistics

## by Dr. Lauren Cappiello

Course notes for Introduction to Statistics (Stat 1). These notes are based loosely on OpenInto Statistics (Diez, Cetinkaya-Rundel, and Barr) and Introductory Statisics (Weiss). […] What is statistics? There are two ways to think about this: As a field, Statistics provides tools for scientists, practitioners, and laypeople to better understand data. You may find yourself using knowledge from this course in a research lab, while reading a research report, or even while watching the news! Module Learning Objectives/Outcomes After completing Module 1, you will: This module’s outcomes … Read more →

# bookdown: Authoring Books and Technical Documents with R Markdown

## by Yihui Xie

A guide to authoring books with R Markdown, including how to generate figures and tables, and insert cross-references, citations, HTML widgets, and Shiny apps in R Markdown. The book can be exported to HTML, PDF, and e-books (e.g. EPUB). The book style is customizable. You can easily write and preview the book in RStudio IDE or other editors, and host the book wherever you want (e.g. bookdown.org). Read more →

# Methods for Network Analysis

## by Mark Hoffman

Methods for Network Analysis […] This 4-5 credit hour seminar is intended as a theoretical and methodological introduction to social network analysis. Though network analysis is an interdisciplinary endeavor, its roots can be found in classical anthropology and sociology. Network analysis focuses on patterns of relations between actors. Both relations and actors can be defined in many ways, depending on the substantive area of inquiry. For example, network analysis has been used to study the structure of affective links between persons, flows of commodities between organizations, shared … Read more →

# R markdown para abogados

## by Marco Ramos

En este bookdown iremos construyendo el curso de R markdown para abogados […] Haz click aquí para unirte a la sesión Horario 7-9 PM En general no se necesita conocer R o ningún lenguaje de programación para comenzar a redactar en R markdown, aunque su conocimiento potencia tus habilidades creativas. El primer paso de este curso es el tener el ambiente adecuado en su computadora. En general no se necesita un equipo con gran poder (y de hecho ni se necesita un equipo pues siempre podemos usar el servidor cloud de R). En fin, lo primero es asegurarse de tener R instalado. Lo podemos bajar de … Read more →

# Indicadores Alerta de Violencia de Género (AVGM) del Estado de Jalisco.

## by paolamanzorom

Línea base de la Alerta de Violencia de Género (AVGM) del Estado de Jalisco. […] Para la medición de la implementación del Plan Estratégico para el Seguimiento de la Alerta de Violencia de Género contra las Mujeres del Estado de Jalisco. Los indicadores están clasificados de acuerdo al objetivo específico del Plan que buscanmedir,mismos que se enlistan como sigue: En el micrositio de los indicadores de la Alerta de Violencia de Género (AVGM) del Estado de Jalisco podrás encontrar màs información. Porcentaje de servicios forenses en casos de muertes violentas de mujeres, provistos conforme a … Read more →

# R Essentials for Six Sigma Analytics

## by Ramon Perdigao

Learn basic R coding and build elegant plots to support your analysis during any size Six Sigma projetc. […] R Essentials for Six Sigma Analytics: An Introduction to R for the Six Sigma Practitioner. Copyright © 2021 by Ramon Perdigao. All rights reserved. This book was written in RStudio version 1.4.1717 with Bookdown and other open source R packages. All examples and exercises have been created by the author unless explicitly stated otherwise. No part of this work may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or … Read more →

# Introduction to Computational Social Science

## by Mark Hoffman

Introduction to Computational Social Science […] This seminar is intended as a theoretical and methodological introduction to computational social science. Each week covers substantive and theoretical material and is associated with a technical lab. You will need to bring your laptops to each class. In the technical labs you will learn how to analyze network data in R. This e-book contains all of the technical labs in the order that we cover them. Should you forget anything we learned, you will be able to return to this e-book to cover the material again on your … Read more →

# Lecture 7 Note

## by Yiming Gong

This is the class note for lecture 7. […] Basic Definition: Annualized standard deviation of the change in price or value of a financial security. Volatility is a statistical measure of the dispersion1 of returns for a given security or market index. In most cases, the higher the volatility, the riskier the security. Volatility is often measured as either the standard deviation or variance between returns from that same security or market index. In the securities markets, volatility is often associated with big swings in either direction. For example, when the stock market rises and falls … Read more →

# The Temple of Esna. An Evolving Translation: Esna III

## by David Klotz

This is a continuation of my ongoing quest to translate all the Roman inscriptions from Esna temple. The first volume of inscriptions, Esna II (the book Esna I was an introductory volume, without hieroglyphic texts), is now complete, although I will continue to make changes and updates. The goal is to make all of this information easily accessible. A blog would be easy to read and update, that is difficult to search and cross reference; a database is clunkier to navigate, particularly for translations of texts. Esna III is devoted to the columns within the pronaos, all covered with extensive … Read more →

# Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA

## by Elias T. Krainski, Virgilio Gómez-Rubio, Haakon Bakka, Amanda Lenzi, Daniela Castro-Camilo, Daniel Simpson, Finn Lindgren and Håvard Rue

The book Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA has been published by Chapman &Hall/CRC Press. Hardcopies can be bougth from CRC Press or other popular on-line booksellers. The on-line version of the book can be read here, and it is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. To cite the book in publications, please use: E. T. Krainski et al. (2019). Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA. Chapman & Hall/CRC Press. Boca Raton, FL. You … Read more →

# Interpretable Machine Learning

## by Christoph Molnar

Machine learning algorithms usually operate as black boxes and it is unclear how they derived a certain decision. This book is a guide for practitioners to make machine learning decisions interpretable. […] Machine learning has great potential for improving products, processes and research. But computers usually do not explain their predictions which is a barrier to the adoption of machine learning. This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as … Read more →

# Outstanding User Interfaces with Shiny

## by David Granjon

This book is under active development and intended for a 2021 Q4 release in the R Series by Chapman & Hall. You are an experienced Shiny user and you want to learn more about the underlying web technologies so that you can quickly customize your apps. Good new: basic knowledge in HTML, CSS and JavaScript is a plus but not mandatory. If you fulfill the above prerequisites, you should read this book if you already happened to ask one of the following questions: This book will help you to: This book is organized into seven parts: Part 1 demonstrates the link between Shiny and the classic web … Read more →

# R Graphics Cookbook, 2nd edition

## by Winston Chang

This cookbook contains more than 150 recipes to help scientists, engineers, programmers, and data analysts generate high-quality graphs quickly—without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project and includes a discussion of how and why the recipe works. […] Welcome to the R Graphics Cookbook, a practical guide that provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb through all the details of R’s graphing systems. Each recipe … Read more →

# rOpenSci Packages: Development, Maintenance, and Peer Review

## by rOpenSci software review editorial team (current and alumni): Brooke Anderson, Scott Chamberlain, Laura DeCicco, Julia Gustavsen, Anna Krystalli, Mauro Lepore, Lincoln Mullen, Karthik Ram, Emily Riederer, Noam Ross, Maëlle Salmon, Melina Vidoni

Extended version of the rOpenSci packaging guide. This book is a guide for authors, maintainers, reviewers and editors of rOpenSci. The first section of the book contains our guidelines for creating and testing R packages. The second section is dedicated to rOpenSci’s software peer review process: what it is, our policies, and specific guides for authors, editors and reviewers throughout the process. The third and last section features our best practice for nurturing your package once it has been onboarded: how to collaborate with other developers, how to document releases, how to promote your package and how to leverage GitHub as a development platform. The third section also features a chapter for anyone wishing to start contributing to rOpenSci packages. Read more →

# Supervised Machine Learning for Text Analysis in R

## by Emil Hvitfeldt and Julia Silge

This is the website for Supervised Machine Learning for Text Analysis in R! Visit the GitHub repository for this site. This online work by Emil Hvitfeldt and Julia Silge is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International … Read more →

# Crime Mapping and Analysis

## by Gio Circo

Lab materials, examples, and other data for use in Dr. Circo’s CJST 4557 course. […] Welcome to CJST 4557 - Crime Mapping and Analysis! Before we get started, let’s address a few common questions about this course, as well as some more general questions about crime mapping in general. In general I have a few major goals for you in this course: This is intended to be a general course covering common methods in crime analysis, some of the tools that go along with it, and a theory-based discussion of how to best implement strategies for crime prevention. This will be a mix of both lab-based … Read more →

# Regression Methods for Public Health using R

## by Ramzi W. Nahhas

Regression methods using R accessible to public health students without a background in mathematical statistics. […] This text is UNDER CONSTRUCTION. If you have any comments or suggestions, feel free to contact me at ramzi.nahhas@wright.edu. Thank you! Additionally, if you have a dataset that you think would be suitable for inclusion in this text (as an example or for an exercise), I would love to hear about it. This text is suitable as a second biostatistics course for Master of Public Health students or public health professionals. Almost all public health students take an introductory … Read more →

# Notes of Analysis of Functional MRI

## by Lecturer: Chia-Feng Lu Course page:

Notes of Analysis of Functional MRI […] Brain activation to the corresponding task. Similarity between local BOLD signal and task design. “Where is the motion area?” “Where is the face recognition area?” 分析工具：General Linear Model (GLM)。 Brain encoding to the representation of stimulus classes. Classification or similarity analysis. “What are the varying brain states in an area?” “How do brain cortices encode different types of information?” 分析工具： Multivariate Pattern Analysis (MVPA). Classifier‐based MVPA, pattern similarity analysis. Brain … Read more →

# 劉昱佑

## by Oliver Yu-You Liou, MStat, MS, BS, BA

劉昱佑，字選森，號如是觀，不能簃主人。祖籍廣東大埔，臺中新社客家人，民國86年夏生於澄清病院。明道中學畢業，國立臺灣大學統計碩士、農業經濟碩士及學士、政治學學士（政治理論），師承張宏浩。曾任國民黨中常委、中央委員，全國各界青年節籌委會總召，臺大學代會秘書長、學生代表，現在臺中市政府青年諮詢委員，國民黨全國黨代表。 在臺中犁頭店長大，蟄居西湖鴨母嶺，因疫情暫寄福州山腳。讀書、做菜、寫R，領域是計量經濟。鍾愛董橋小品，好陳之藩、周作人散文。喜歡吃布朗尼、韭黃鱔糊和八寶芋泥。拿手是紅燒獅子頭、日式角煮、魚香茄子和苦瓜鑲肉。茶喝大禹嶺，酒飲茴香酒，歌聽張雨生，《沒有菸抽的日子》。老歌派，哼著《孤女的願望 … Read more →

# Single Cell Multi-Omics Data Analysis

## by Yuting Liu

This book is a collection for pre-processing and visualizing scripts for single cell milti-omics data. The data is downsampled from a real dataset. … Read more →

# Recitation 4 Note

## by Yiming Gong

This is the class note for recitation 4. […] Method of moments estimation is based solely on the law of large numbers, which we repeat here: Let (M_1, M_2,…) be independent random variables having a common distribution possessing a mean (\mu_M). Then the sample means converge to the distributional mean as the number of observations increase. [ \bar{M}n = \frac{1}{n}\sum{i=1}^n M_i \rightarrow \mu_M \text{, as } n \rightarrow\infty ] To show how the method of moments determines an estimator, we first consider the case of one parameter. We start with independent random variables … Read more →

# Introduction to Environmental Data Science

## by Jerry Davis, SFSU Institute for Geographic Information Science

Background, concepts and exercises for using R for environmental data science. The focus is on applying the R language and various libraries for data abstraction, transformation, data analysis, spatial data/mapping, statistical modeling, and time series, applied to environmental research. Applies exploratory data analysis methods and tidyverse approaches in R, and includes contributed chapters presenting research applications, with associated data and code packages. Read more →

# Economic Survey 2019-20

## by markbneal

The 2019-20 DairyNZ Economic Survey is the fifteenth annual survey of New Zealand dairy farmers using dairy farm business data from DairyBase®. The Economic Survey of Factory Supply Dairy Farmers was first published in 1963-64 by the New Zealand Dairy Board. In 1988-89 the survey was undertaken by Livestock Improvement Corporation (LIC) and then Dexcel in 1999-2000, when the name was changed to Economic Survey of New Zealand Dairy Farmers. From 2005-06 DairyNZ published the survey under the new title DairyNZ Economic Survey. DairyNZ is the industry good organisation, representing New … Read more →

# CASA0005 Geographic Information Systems and Science

## by Andy MacLachlan and Adam Dennett

The CASA0005 Geographic Information Systems and Science practical book […] Hello and a warm welcome to the CASA0005 Geographic Information Systems and Science online pratical handbook. This website is hosted on GitHub and holds all the practical instructions and data. Data used within the practicals is available online, however occasionally websites can undergo maintenance or be inaccessible due to political factors such as government shutdowns. Accessing this data is explained in the section hello GIS. Thanks to the following people who have either contributed directly or provided code in … Read more →

# Scientific Research and Methodology

## by Peter K. Dunn

An introduction to quantitative research in science, engineering and health (including research design, hypothesis testing and confidence intervals in common situations) […] This book is an introduction to quantitative research in the scientific and health disciplines. The whole research process is introduced, from asking a research question to analysis and reporting of the data. The focus, however, is on the analysis of … Read more →

# R Markdown Cookbook

## by Yihui Xie, Christophe Dervieux, Emily Riederer

This book showcases short, practical examples of lesser-known tips and tricks to helps users get the most out of these tools. After reading this book, you will understand how R Markdown documents are transformed from plain text and how you may customize nearly every step of this processing. For example, you will learn how to dynamically create content from R code, reference code in other documents or chunks, control the formatting with customer templates, fine-tune how your code is processed, and incorporate multiple languages into your analysis. Read more →

# Lecture 6 Note

## by Yiming Gong

This is the class note for lecture 6. […] Consider a data set of daily asset percent returns: [ x_1, x2,\dots, x_n ] Assume the return on day (t) is a random variable (X_t): [ {\text{all possible }X_t} ={-\infty <x_t<\infty} ] The probability model/distribution for (X_t) is given by specifying the cumulative distribution function or equivalently the probability density function Special Cases of the Probability Model in our exercise [ f(x_t) = \frac{1}{\sqrt{2\pi}\sigma}e^{-\frac{1}{2}\frac{(x-\mu)^2}{\sigma^2}} ] [ f(x) = \frac{1}{2b}e^{-\frac{|x-\mu|}{b}} ] Useful methods … Read more →

# Machine Learning for Biostatistics

## by Armando Teixeira-Pinto & Jaroslaw Harezlak

Machine Learning for Biostatistics […] Supervised learning, in machine learning, refers to methods that are applied when we want to estimate the function (f(X)) that relates a group of predictors (X) to a measured outcome (Y). Unsupervised learning refers to methods that learn from the data but there is no observed outcome. In this module, we will cover several unsupervised learning methods, namely principal components analysis, k-means clustering and hierarchical clustering. By the end of this module you should be able to: The dataset fat is available in the library(faraway). You … Read more →

# Machine Learning for Biostatistics

## by Armando Teixeira-Pinto

Machine Learning for Biostatistics […] In this module we will talk about model selection and regularisation methods (also called penalisation methods), namely, ridge and lasso. We will start with classical algorithms for model selection, such as the best subset selection and stepwise (backward and forward) selection. Then we introduce the idea of bias-variance trade-off and the motivation for ridge regression. Finally, we will talk about Lasso regression and some of its extensions. By the end of this module you should be able to: The dataset fat is available in the library(faraway). You … Read more →

# Machine Learning for Biostatistics

## by Jaroslaw Harezlak & Armando Teixeira-Pinto

Machine Learning for Biostatistics […] This module will cover methods to explore non-linear effects of numerical predictors on the outcome. By the end of this module you should be able to: The dataset triceps is available in the MultiKink package. You may install.packages(“MultiKink”), load the library (library(MultiKink)) and then run data(“triceps”). The data are derived from an anthropometric study of 892 females under 50 years in three Gambian villages in West Africa. There are 892 observations on the following 3 variables: The data SA_heart.csv is retrospective sample of males in a … Read more →

# Resampling method

## by Armando Teixeira-Pinto

Resampling method […] This module will cover bootstrap and cross-validation. These are two important techniques that are useful to study sample variability, evaluate model performance and choosing tuning parameters in many of the methods covered in this unit. We will switch the order presented in the book Introduction to Statistical Learning and start with bootstrap and then proceed to cross-validation. By the end of this module you should be able to: The file bmd.csv contains 169 records of bone densitometries (measurement of bone mineral density). The following variables were collected: … Read more →

# The Data Preparation Journey

## by Martin Monkman

Draft It is routinely noted that the Pareto principle applies to data science—80% of one’s time is spent on data collection and preparation, and the remaining 20% on the “fun stuff” like modeling, data visualization, and communication. There is no shortage of material—textbooks, journal articles, blog posts, online courses, podcasts, etc.—about the 20%. That’s not to say that there is no material for the other 80%. But it is scattered, found across technique-specific articles and domain-specific books, along with Stack Overflow questions and miscellaneous blog posts. This book serves as a … Read more →

# Pengantar Pemrograman R dan RStudio

## by Aep Hidayatuloh

Assalamu’alaikum warohmatullohi wabarokatuh… Alhamdulillahi robbil’aalamiin… Segala puji dan syukur hanya untuk Alloh Subhanahu Wa Ta’ala karena atas rahmat dan ridho-Nya yang memberikan kesempatan kepada saya untuk menulis buku ini. Buku ini ditulis untuk menuangkan ide dan berbagi pengetahuan berdasarkan hasil belajar, pengalaman melakukan pekerjaan dan penelitian di beberapa bidang sebagai konsultan analisis data, maupun karyawan di sebuah perusahaan. Tingginya minat terhadap data analyst/data scientist membuat banyak orang mulai mencoba mendalami dan terjun ke bidang ini. Hampir semua … Read more →

# BIONB 2210 Summer 2021 Computer Labs

## by Dena J. Clink

This is the location for all of the tutorials associated with the behaviouR R package. […] You have reached the location for all of the tutorials for the computer labs for Summer 2021. We will be completing all assignments using Rstudio Cloud (www.rstudio.cloud). Please see the link on Canvas for details on how to setup your RStudio Cloud account. Note: If you have never used R before I highly recommend that you check out the primers here: https://rstudio.cloud/learn/primers. You can navigate using the tabs at the left and/or the … Read more →

# 醫學統計學

## by 王 超辰 Chaochen Wang

醫學統計學 […] We are drowning in information and starving for knowledge. — Rutherford D. Roger 尚未想好寫什麼作前言。我只是默默地想留下一些筆記和思考。本書用了兩個 R 包編譯，分別是 knitr (Xie 2015) 和 bookdown (Xie 2018)。 在開始倒計時離開倫敦的時刻，我再次翻閱這些思考過的，痛苦過的，糾結過的，忐忑過的，這一年的學習筆記，感慨良多。倫敦衛生與熱帶醫學院 曾經是，現在依然還是我魂牽夢繞的學院，它的歷史積澱，它的小巧精緻，在它的樓道里度過的每一天都是那麼的充實而值得感動。這本書不僅僅是我的統計學學習的心路歷程，還傾注了這裡每一位老師，每一個一起奮鬥過的同學，我們的歡聲 … Read more →

# A primer for biostatistics in R

## by cjlortie

A brief introduction to statistical thinking in biostatistics supported by the R programming language. […] Welcome to a primer for biostatistics in R. Mathematical! Adventure time! Well, the mathematical part is up to you, but this is an adventure. This set of learning materials is a guide developed to support you in better developing critical thinking using statistics. Critical thinking very generally is a mode of thinking that is self-directed and evidence based (Facionie 2017). Statistical thinking is thus an ideal opportunity and partner in honing literacy adventure skills in this … Read more →

# R 學習筆記

## by Ting-Chih Hung Department of Economics, National Tawian University

R 學習筆記 […] 本筆記主要參考 Zamora Saiz et al. (2020) 與 Wickham and Grolemund … Read more →

# Targeted Learning in R

## by Mark van der Laan, Jeremy Coyle, Nima Hejazi, Ivana Malenica, Rachael Phillips, Alan Hubbard

Targeted Learning in R: Causal Data Science with the tlverse Software Ecosystem is an open source, reproducible electronic handbook for applying the Targeted Learning methodology in practice using the tlverse software ecosystem. This work is currently in an early draft phase and is available to facilitate input from the community. To view or contribute to the available content, consider visiting the GitHub repository. The contents of this handbook are meant to serve as a reference guide for applied research as well as materials that can be taught in a series of short courses focused on the … Read more →

# High-dimensional statistics

## by Nicolas Städler

This book is for the CAS Module High-dimensional statistics […] This book is thought as accompanying material for the course on High-dimensional statistics. The content is heavily based on other work (Hastie, Tibshirani, and Friedman 2001). We will typically denote an input variable by the symbol (X). If (X) is a vector, its components can be accessed by subscripts (X_j). Quantative outputs will be denoted by (Y), and qualitative outputs by (G) (for group). We use uppercase letters such as (X), (Y) or (G) when referring to the generic aspects of a variable. Observed values … Read more →

# Lecture 5 Note

## by Yiming Gong

This is the class note for lecture 5 on July 23th. […] … Read more →

# STM1001 Week 1

## by Amanda Shaker

STM1001 Week 1 […] This week we will … Read more →

# T32 Working with Data Training

## by Jean-Paul Courneya and Amy Yarnell

This is material to accompany class sessions for the T32 Epidemiology of Aging training series […] This book was published with bookdown. The bookdown package can be installed from CRAN or … Read more →

# HTTP testing in R

## by Scott Chamberlain, Maëlle Salmon

Best practice and tips for testing packages interfacing web resources. […] Are you working on a R package accessing resources on the web, be it a cat facts API, a scientific data source or your system for Customer relationship management? As for all other packages, appropriate unit testing can make your code more robust. The unit testing of a package interacting with web resources, however, brings special challenges: dependence of tests on a good internet connection, testing in the absence of authentication secrets, etc. Having tests fail due to resources being down or slow, during … Read more →

# Reproducible Medical Research with R

## by Peter D.R. Higgins, MD, PhD, MSc

This book is for anyone in the medical field interested in learning R to analyze available health data. […] Welcome to Reproducible Medical Research with R (RMRWR). I hope that this book is helpful to you. This is a book for anyone in the medical field interested in analyzing the data available to them to better understand health, disease, or the delivery of care. This could include nurses, dieticians, psychologists, and PhDs in related fields, as well as medical students, residents, fellows, or doctors in practice. I expect that most learners will be using this book in their spare time at … Read more →

# bookdown-demo.knit

## by probability

An interactive introduction to Inference […] An interactive introduction. … Read more →

# Understanding the Whole Child: Prenatal Development through Adolescence

## by Jennifer Paris, Antoinette Ricardo, & Dawn Rymond

This developmental psychology textbook is about physical, cognitive, and social development during childhood and adolescence. Bookdown adaptation by C. Nathalie Yuen. […] An Open Educational Resources Publication by College of the Canyons Authored and compiled by Jennifer Paris, Antoinette Ricardo, & Dawn Rymond Editor: Alexa Johnson Cover Image: Photo by Rene Bernal on Unsplash Bookdown adaptation: C. Nathalie Yuen This is a derivative of Version 1.2 This textbook is licensed under a Creative Commons Attribution 4.0 License. July 22, 2021 2019 - Version … Read more →

# Análise de Dados em R - nível intermediário

## by Bruno Lucian & Claudia Jakelline

Livro texto que acompanha o Curso intermediário de Análise de Dados em R […] A Fundação CEPERJ é uma instituição com mais de meio século de tradição, história e é reconhecidamente um legítimo centro de capacitação, recrutamento, cultura, e produção de estatísticas e de estratégia de políticas públicas para o estado do Rio de Janeiro. Sendo assim, a Escola de Gestão & Políticas Públicas da Fundação, entendendo a importância de saber manipular e analisar informações, ofereceu dois cursos em Análise de Dados com R, sendo este o segundo. O material do primeiro curso (Básico) está disponível … Read more →

# PSY317L & PSY120R Guidebook

## by James P. Curley & Tyler M. Milewski

PSY317L & PSY120R Guidebook […] This book is written to help students enrolled in the University of Texas at Austin Introduction to Statistics for the Behavioral Sciences (PSY317L) course or R Programming for Behavioral Sciences (PSY120R) led by Professor James Curley. We hope that the book will be a useful resource to help you learn both R and statistics. If you have any suggestions for improvements, please get in touch with Professor Curley. This is in between a textbook and a study guide. We’re trying to build materials that will enable students to quickly find what they’re looking for … Read more →

# R&Shiny for Data Science, Finance, and Software Development

## by Kayvan Nejabati Zenouz

This is the complete set of lecture notes for R&Shiny for Data Science, Finance, and Software Development together with the exercises […] “Thus it is left to the reader to put it all together by himself, if he so pleases, but nothing is done for a reader’s comfort…” Stages on Life’s Way, Søren Kierkegaard 1813 - 1855 Use these notes in conjunction R … Read more →

# Mixed BART Models: maths and discussion

## by Bruna Wundervald

Mixed BART Models: maths and discussion […] This documents works as a summary of our work towards building a “Mixed model” style BART. All the maths in detail will be written here, as well as our simulation … Read more →

# Laboratorio

## by Jose Antonio Fortou

Este libro contiene instructivos y materiales de clase para el curso GP0070 Laboratorio del área de métodos del pregrado en Ciencias Políticas de la Universidad EAFIT. El documento está en fase de desarrollo y los contenidos pueden cambiar. Por favor, no … Read more →

# Report BSM

## by Bsmsimul

Report BSM […] This is continuation of the study reported in (Capitani et al. … Read more →

# Recitation 3 Note

## by Yiming Gong

This is class note for recitation 3 on July 22th. […] restrict the time scale to two instants only: The price of one share at time (t) will be denoted by (S(t)). The current stock price (S(0)) is known to all investors (A(t)) and (A(0)) [ S(t)-S(0) ] The return is defined as: [ K_S = \frac{S(t)-S(0)}{S(0)}, t= 1 ] Is the return (K_S) a fixed value or a random value? Similar for return of bond: [ K_A = \frac{A(t)-A(0)}{A(0)}, t = 1 ] Is the return (K_A) a fixed value or a random value? The future stock price (S(1)) is a random variable with at least two different … Read more →

# Science Research Methods: Tutorials

## by Peter K. Dunn

TUTORIALS for quantitative research in science, engineering and health (including research design, hypothesis testing and confidence intervals in common situations) […] This book has been prepared for use with the book Scientific Research and Methodology, which is an introduction to quantitative research methods in the scientific, engineering and health disciplines. This course introduces the whole research process, from asking a research question to analysis and reporting of the data. The focus, however, is on the analysis of … Read more →

# blogdown: Creating Websites with R Markdown

## by Yihui Xie, Amber Thomas, Alison Presmanes Hill

A guide to creating websites with R Markdown and the R package blogdown. […] A note from the authors: Some of the information and instructions in this book are now out of date because of changes to Hugo and the blogdown package. If you have suggestions for improving this book, please file an issue in our GitHub repository. Thanks for your patience while we work to update the book, and please stay tuned for the revised version! In the meantime, you can find an introduction to the changes and new features in the v1.0 release blog post and this “Up & running with blogdown in 2021” blog post. … Read more →

# Rasch Measurement Theory Analysis in R: Illustrations and Practical Guidance for Researchers and Practitioners

## by Stefanie Wind & Cheng Hua

The purpose of the proposed book is to illustrate techniques for conducting Rasch measurement theory analyses using existing R packages.The book will include some background information about Rasch models, but the primary objective will be to demonstrate how to apply the models to data using R packagesand interpretthe results. The academic level for this book is graduate students or professionals who have already been exposed to Rasch measurementtheory. Read more →

# Biology for environmental management pocketguide

## by cjlortie

This a brief overview of how to use biology for inform decision making for environmental grand challenges we face globally. […] Welcome to biology for environmental management. The goal of this course is to examine global grand challenges that we face through the lens of solutions from science. Science can be magical because it provides us with incredible outcomes in so many domains of the human endeavour. Here, we work to find the magic spells from science for the environment to promote the well-being of people and the planet. If you are electing to engage with this learning opportunity … Read more →

# Economic Statecraft

## by Yuleng Zeng

This is a graduate-level seminar on economic statecraft. I started teaching this course at the University of Salzburg in 2020. The intention of maintaining this website is to facilitate my teaching and to keep track of the resources I use. Feel free to use this website for education purposes. If you see any errors or have suggestions, please do let me … Read more →

# An Introduction to Game Theory

## by Yuleng Zeng

This is an introduction to Game Theory. The project started when I sat in on Tobias Heinrich’s class (POLI 725: International Conflict) in Fall 2019. I was given the opportunity to provide an introduction to basic game theory concepts and methods. Thank again to Toby for the trust and the opportunity. My intention is to build upon the short introduction and potentially expand it into course, with a heavy focus on models used in International Relations. If you have suggestions or find any errors, please do shoot me an … Read more →

# Lecture 4 Note

## by Yiming Gong

This is class note for lecture 4 on July 21th […] It is a fact of life that $100 to be received after one year is worth less than the same amount today. The main reason is that money due in the future or locked in a fixed term account cannot be spent right away. One would therefore expect to be compensated for postponed consumption. In addition, prices may rise in the meantime and the amount will not have the same purchasing power as it would have at present. Finally, there is always a risk, even if a negligible one, that the money will never be received. Whenever a future payment … Read more →

# Tecnicas de Limpieza y Calidad de Datos

## by KLEVER CURAY

Ejercicios realizados en clase […] Este conjunto de páginas contienen los ejercicios realizados en clase en el curso: Técnicas de Limpieza y Calidad de Datos. … Read more →

# Econometría Espacial

## by Víctor Morales-Oñate

Econometría Espacial […] Este documento está en construcción. Tiene por objetivo recoger material necesario para impartir un curso aplicado en econometría … Read more →

# Behind changing windows: understanding shop changes in Miðborg

## by Anne-Cécile Mermet

The main aim of this project is to provide a spatial analysis of the retail change in Miðborg through the production of an interactive map of the shops in Miðborg. The main source of inspiration for the project is the interactive map produced by the Parisian planning agency (APUR). The retailscape of Miðborg has undergone a dramatic change over the past years. Before 2020, tourism has driven some major shop changes. Some very well-established shops, such as the grocery Visir, have been turned into tourist shops. Other well-known shops have moved out to suburban premises, while new … Read more →

# T32 Working with Data Training

## by Jean-Paul Courneya and Amy Yarnell

This is material to accompany class sessions for the T32 Epidemiology of Aging training series […] This is a sample book written in Markdown. You can use anything that Pandoc’s Markdown supports, e.g., a math equation (a^2 + b^2 = c^2). The bookdown package can be installed from CRAN or Github: Remember each Rmd file contains one and only one chapter, and a chapter is defined by the first-level heading #. To compile this example to PDF, you need XeLaTeX. You are recommended to install TinyTeX (which includes XeLaTeX): https://yihui.org/tinytex/. … Read more →

# Data Visualization for Conservation

## by Gavin Masterson

This book contains all the content for, and information relevant to, the Data Visualization for Conservation course (7 July - 20 July 2021). […] Welcome to the Data Visualization for Conservation course! In this course we are going to be talking about data visualisation or ‘dataviz.’ We will spend time talking about the importance of data visualisation, learning how to produce custom visualisations using the ggplot2 package, as well as an important theory of data management and storage. The path of learning is never-ending, and we do not want you to imagine that this course can teach you … Read more →

# Recitation 2 Note

## by Yiming Gong

This is note for recitation 2. […] The text in an R Markdown document is written with the Markdown syntax. Precisely speaking, it is Pandoc’s Markdown. There are many flavors of Markdown invented by different people, and Pandoc’s flavor is the most comprehensive one to our knowledge. You can find the full documentation of Pandoc’s Markdown at https://pandoc.org/MANUAL.html. Inline text will be italic if surrounded by underscores or asterisks, e.g., text or text. Bold text is produced using a pair of double asterisks (text). A pair of tildes (~) turn text to a subscript (e.g., … Read more →

# Data Science in R: A Gentle Introduction

## by James Scott

A gentle introduction to data science in R. […] Hello and welcome! This online book is structured as a series of walk-through lessons in R that will have you doing real data science in no time. It covers both the core ideas of data science as well as the concrete software skills that will help you translate those ideas into practice. Many of these lessons operate on the premise of “mimic first, understand later.” That is, I’ll introduce bits of R code that do something interesting and ask you to mimic them word for word to see what they do, without necessarily understanding the details at … Read more →

# A Short Guide to Historical Newspaper Data, Using R

## by Yann Ryan

This is a handbook to help new and existing users find, process and analyse historical newspaper data, using the programming language R, and its IDE R-Studio […] In 2018 and 2019 I worked at the British Library as a Curator of Newspaper Data. It was an experimental position, conceived on the premise that the data generated by newspaper digitisation projects, in this case the Heritage Made Digital project, deserves its own curatorial role and set of practices. It was an fun time to work on such a project. While the large-scale analysis of newspaper data by historians is no longer in its … Read more →

# Métodos de evaluación de impacto

## by Víctor Morales-Oñate

Métodos de evaluación de impacto […] Este documento está en construcción. Tiene por objetivo recoger material necesario para impartir un curso aplicado de introducción a métodos de evaluación de impacto. Esta primera versión realiza una revisión detallada de regresión lineal, el método experimental, técnicas de emparejamiento (matching), diferencias en diferencias y regresión discontinua. En la medida de lo posible el documento trabaja con datos de Ecuador. Además, el software utilizado para el análisis, estimación y predicción es … Read more →

# R语言基础与光谱建模

## by 李彦杰, 中国林业科学研究院亚热带林业研究所, aj7105@gmail.com

这是一本操作性比较强的书，希望通过阅读这本书，可以让你喜欢上R语言。 […] 本书将着重在数据整理、数据预处理、数据拆分和数据建模等方面展开，通过实例，来为大家系统讲解如何通过R语言进行光谱数据建模和预测，希望能为想学习R语言但又不知道如何开始的学者提供帮助。这本书不会包含太多纯理论性的内容，如果想更多了解模型算法，请同时参考其他更专业的书籍。 本书的在线版本已获得知识共享署名-非商业性-相同方式共享4.0国际许可的许可。 我的 R 进程信息： 感谢家人：学习和工作的动力 感谢单位：好的科研态度离不开好的科研平台 感谢领导和同事：没有领导和同事的支持，我可能没这个机会写这本书 … Read more →

# Statistical Inference via Data Science

## by Chester Ismay and Albert Y. Kim

An open-source and fully-reproducible electronic textbook for teaching statistical inference using tidyverse data science tools. […] Please note that you are currently looking at a preview of a future version of ModernDive, which is currently being edited. For the current version of ModernDive, please visit ModernDive.com. This is the website for Statistical Inference via Data Science: A ModernDive into R and the Tidyverse! Visit the GitHub repository for this site and find the book on Amazon. You can also purchase it at CRC Press using promo code ADC21 for a discounted price. This work by … Read more →

# 现代应用统计与 R 语言

## by 黄湘云

线性模型理论及其应用，注意模型的适用范围、参数估计方法、模型检验和诊断，理论和应用并重，同时附以真实的案例分析。将线性模型、广义线性模型、广义可加模型、线性混合效应模型、广义线性混合效应模型和广义可加混合效应模型融合到同一框架下。应用层面，要考虑数据集的平衡问题、缺失问题和异常问题。应用场景包括环境污染、流行病学和风险控制等领域。 […] Book in early development. Planned release in 202X. 1 最新一次编译发生在 2021-07-19 … Read more →

# Data Science for Psychologists

## by Hansjörg Neth

This book provides an introduction to data science that is tailored to the needs of students in psychology, but is also suitable for students of the humanities and other biological or social sciences. This audience typically has some knowledge of statistics, but rarely an idea how data is prepared to allow for statistical testing. By using various data types and working with many examples, we teach strategies and tools for transforming, summarizing, and visualizing data. By keeping our eyes open for the perils of misleading representations, the book fosters fundamental skills of data literacy and cultivates reproducible research practices that enable and precede any practical use of statistics. Read more →

# Lecture 3 Note

## by Yiming Gong

Lecture 3 note […] Suppose that two assets are traded: one risk-free and one risky security. The former can be thought of as a bank deposit or a bond issued by a government, a financial institution, or a company. The risky security will typically be some stock. It may also be a foreign currency, gold, a commodity or virtually any asset whose future price is unknown today. Throughout the introduction we restrict the time scale to two instants only: today, t = 0, and some future time, say one year from now, t = 1. More refined and realistic situations will be studied in later chapters. The … Read more →

# Fantastic Genes and Where to Find Them

## by Maria Gallegos, Cal State University East Bay

Fantastic Genes and Where to Find Them […] First, I would like to acknowledge the Genome Education Partnership (GEP) for inspiration. They created a resource for learning about Eukaryotic gene structure using the UCSC Genome Browser (Laakso et al. 2017). Their focus is on the Drosophila genome. My focus is on humans. My hope is that skills learned within these pages and the saved sessions I created (and will continue to curate) can be used as a springboard for continued exploration of the human genome. © 2019, Maria Gallegos. All rights … Read more →

# Engineering Production-Grade Shiny Apps

## by Colin Fay, Sébastien Rochette, Vincent Guyader, Cervan Girard

A book about engineering shiny application that will later be sent to production. This book cover project management, structuring your project, building a solid testing suite, and optimizing your codebase. We describe in this book a specific workflow: design, prototype, build, strengthen and deploy. […] This book will soon be available in print, published in the R Series by Chapman & Hall. The online version of this book is free to read here (thanks to Chapman & Hall/CRC), and licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. This book will … Read more →

# rOpenSci Statistical Software Peer Review

## by Mark Padgham and Noam Ross

Welcome to rOpenSci’s system for peer-review of statistical software in R packages and beyond. This system extends our existing system for software peer review, through expanding the scope to include explicitly statistical software. As such, it is a direct extension of rOpenSci Packages: Development, Maintenance, and Peer Review. This book provides guidelines for authors on how to develop statistical software, and for editors and reviewers on our processes for peer review of statistical software. You are invited to contribute to this project by filing suggestions as issues in the book’s … Read more →

# Lecture 2 Note

## by Yiming

This is the class note for lecture 2. […] There is an extensive range of packages in R. For collecting and analyzing financial time series, some of the packages we will use include: Financial data collection from internet (tidyquant) Time series (xts,zoo) Non-linear volatility models (rugarch) Regime modeling (fxregime) The first package (tidyquant) facilitates collecting financial data from the internet sites: https://fred.stlouisfed.org/(FRED) Interest rates of US Government Bonds/Bills Interest rates of Foreign governments Foreign exchange rates Commodities: West-Texas-Intermediate Crude … Read more →

# Practical Data Skills

## by Introduction To Data Science

Practical Data Skills […] The purpose of this book is to provide practical data science skills to managers and business analysts. The focus is helping the reader develop pragmatic skills they can apply within their organizations to extract value from data. This book will not provide a complete and rigorous overview of data science, statistics, or computer programming, but it will help the reader quickly learn how to process and analyze data in the R programming language. The book assumes nothing more than a high school level background in mathematics - it requires no prior knowledge of … Read more →

# R para Psicólogos

## by Cainã, Martins, Jaloto e Dinardi

Esse é o começo de um projeto lindo!. […] ESSA PARTE VAI MUDAR This is a sample book written in Markdown. You can use anything that Pandoc’s Markdown supports, e.g., a math equation (a^2 + b^2 = c^2). The bookdown package can be installed from CRAN or Github: Remember each Rmd file contains one and only one chapter, and a chapter is defined by the first-level heading #. To compile this example to PDF, you need XeLaTeX. You are recommended to install TinyTeX (which includes XeLaTeX): https://yihui.name/tinytex/. … Read more →

# Elaboración de productos de datos: Reportes con R Markdown

## by Samuel Calderon, Felipe Bedoya, Maira Chamota, Jennifer Ponce, Nelly Reyes, Almendra Rodriguez

Este libro es una compilación de reportes individuales trabajados durante mayo y junio del 2021 en el Taller de Elaboración de productos de datos dictado por Samuel Calderon. […] Este libro digital es un esfuerzo conjunto de los participantes del Taller de Elaboración de productos de datos dictado durante cuatro semanas entre los meses de mayo y junio de 2021. A pesar de que el taller tuvo una participación regular de alrededor 10 personas en las sesiones, fueron cinco personas quienes optaron por participar del proyecto final, que no era obligatorio. El taller tuvo como público objetivo a … Read more →

# Time Series Analysis

## by Michael Foley

Time series analysis using R. […] These notes are based on the Time Series with R skill track at DataCamp and Forecasting: Principles and Practice (Rob J Hyndman 2021). Not all forecasting is quantitative - if you have no data you use qualitative judgment procedures. But quantitative forecasting isn’t necessarily based on time series models - your model may be a cross-sectional analysis of relevant factors, perhaps even including time-related factors such as month of year or day of week. Time series forecasting is a specific type of forecasting: it is a quantitative forecast of future … Read more →

# Engagement Survey Technical Report

## by Eagle I.O

This is a technical report that contains the development of the Eagle IO Engagement survey. The output format for this example is bookdown::gitbook. […] This is a report that documents the technical details regarding the development of the Eagle I.O Engagement survey. This report was written with bookdown (Xie, 2021a) within rMarkdown (Allaire et al., 2019) using R version 4.0.5 (R Core Team, … Read more →

# R para los científicos

## by François Rebaudo

Un guía para adquirir las bases de la programación con R y conducir de forma efectiva su gestión y análisis de datos. […] Agradezco a todos los colaboradores que ayudaron a mejorar este libro con sus consejos, sugerencias de cambios y correcciones (en orden alfabético): Camila BF, Marc G, Susi LH, y Estefania QH. Las versiones de gitbook, html y epub de este libro usan los iconos de fuente abierta de Font Awesome (https://fontawesome.com). La versión en PDF utiliza los iconos del proyecto Tango disponibles en openclipart (https://openclipart.org/). Este libro fue escrito con el paquete R … Read more →

# Analisis Data untuk Bisnis

## by Aep Hidayatuloh

Assalamu’alaikum warohmatullohi wabarokatuh… Alhamdulillahi robbil’aalamiin… Segala puji dan syukur hanya untuk Alloh Subhanahu Wa Ta’ala karena atas rahmat dan ridho-Nya saya memiliki kesempatan untuk menulis buku ini. Buku ini ditulis untuk menuangkan ide berbagi pengetahuan berdasarkan hasil belajar, pengalaman melakukan pekerjaan dan penelitian di beberapa bidang bisnis sebagai konsultan analisis data, maupun karyawan di sebuah perusahaan. Buku ini masih berupa draft dan dalam tahap penulisan. Bagi Anda yang ingin memperoleh versi cetak dari buku ini, hingga saat ini buku ini hanya bisa … Read more →

# Язык R для пользователей Excel

## by Алексей Селезнёв

Бесплатный видео курс по языку R. Введение в tidyverse. […] В связи с карантином многие сейчас львиную долю времени проводят дома, и это время можно, и даже нужно провести с пользой. В начале карантина я решил довести до ума некоторые проекты начатые несколько месяцев назад. Одним из таких проектов был видео курс “Язык R для пользователей Excel.” Этим курсом я хотел снизить порог вхождения в R, и немного восполнить существующий дефицит обучающих материалов по данной теме на русском языке. Если всю работу с данными в компании, в котороый вы работаете принято по-прежнему вести в Excel, то … Read more →

# Разработка telegram ботов на языке R

## by Алексей Селезнёв

Аудитория telegram ежедневно растёт с геометрической прогрессией, этому способствует удобство мессенджера, наличие каналов, чатов, и конечно возможность создавать ботов. Боты могут использоваться в совершенно разных целях, от автоматизации коммуникации с вашими клиентами до управления вашими собственными задачами. По сути через бота можно используя telegram выполнять любые операции: отправлять, либо запрашивать данные, запускать задачи на сервере, собирать информацию в базу данных, отправлять электронные письма и так далее. Этот веб учебник поможет вам освоить процесс разработки telegram … Read more →

# An introduction to the Tidal Thames and using GIS #ThamesGIS

## by Wanda Bodnar

This online booklet forms part of the educational package of the Greater Thames Estuary Fish Migration Roadmap project and it is written to provide the basics of cartography, GIS and GIS software use. […] This online booklet is part of the Greater Thames Estuary Fish Migration Roadmap project resource package, and it is written to provide an overview of the Tidal Thames and the basics of cartography, GIS and GIS software use. Note This is a … Read more →

# A Quick Introduction to bbsBayes

## by Adam C. Smith, and Brandon P.M. Edwards

This is a document to support a ~2hr workshop. […] This is a 2-hour introductory workshop/demonstration of the R-package bbsBayes (https://github.com/BrandonEdwards/bbsBayes). This package allows anyone to apply the hierarchical Bayesian models used to estimate status and trends from the North American Breeding Bird Survey. The package also lets the user generate a suite of alternative metrics using the existing model output from the annual CWS analyses. Everyone is welcome! Some familiarity working with R is required if you’d also like to run the code yourself during the workshop, and the … Read more →

# Virginia Local Tax Rates, 2019

## by Stephen C. Kulp, Weldon Cooper Center for Public Service, University of Virginia

Information for All Cities and Counties and Selected Incorporated Towns […] This is the thirty-eighth edition of the Cooper Center’s annual publication about the tax rates of Virginia’s local governments. In addition to information about tax rates, the publication contains details about tax administration, valuation methods, and due dates. There is also information on water and sewer rates, waste disposal charges and numerous other aspects of local government finance. This comprehensive guide to local taxes is based on information gathered in the spring, summer, and early fall of 2019. The … Read more →

# Microclimate Algorithms

## by Yutaro Sakairi, Abigail Meyer, and Lauren Buckley; The TrEnCh Project, University of Washington

A users’ guide to accessing and processing microclimate datasets. […] Most ecological analyses and forecasts use weather station data or coarse interpolated, gridded temperature data. Yet, these products often poorly capture the microclimates experienced by organisms that live near the surface and respond to fine scale spatial and temporal environmental variation. Sources of historic and projected future data that better capture microclimates are proliferating. This site attempts to make it easier for users to access and process microclimate data. We include weather station data along with … Read more →

# River Valley Connectivity Project

## by Brendan Casey

This is document walks through the project workflow. … Read more →

# Bioestadística

## by Danna Cruz

Notas de clase de Bioestadística […] Este libro fue construido para ayudar a entender algunas herramientas de Bioestadística. Acá encontrará los códigos, las lecciones, los ejercicios y tareas dejados por su querida profesora Danna … Read more →

# Bodega de datos

## by Danna Cruz

Notas de clase de Bodega de datos […] Este libro fue construido para ayudar a entender algunas herramientas de Bodega de datos. Estas son las notas de clase del curso Bodega de datos de la MAESTRIA EN INTELIGENCIA DE NEGOCIOS. Acá encontrará los códigos, las lecciones, los ejercicios y tareas dejados por su querida profesora Danna Cruz. Algunos libros y artículos … Read more →

# Long-form recordings: From A to Z

## by Sara Pisani

This bookdown contains the scripts of instructional videos created in the context of the ExELang Project (exelang.fr). Alejandrina Cristia is grateful for the funding and institutional support from Agence Nationale de la Recherche (ANR-17-CE28-0007 LangAge, ANR-16-DATA-0004 ACLEW, ANR-14-CE30-0003 MechELex, ANR-17-EURE-0017); a J. S. McDonnell Foundation Understanding Human Cognition Scholar Award; and an ERC Consolidator grant (ExELang, 2021-2026). The funders had no role in the production of this bookdown or the associated videos. Alejandrina Cristia assumes full responsibility for the … Read more →

# Notes for Nonparametric Statistics

## by Eduardo García Portugués

Notes for Nonparametric Statistics. MSc in Statistics for Data Science. Carlos III University of Madrid. [...] Welcome to the notes for Nonparametric Statistics. The course is part of the MSc in Statistics for Data Science from Carlos III University of Madrid. The course is designed to have, roughly, one session per each main topic in the syllabus. The schedule is tight due to time constraints, which will inevitably make the treatment of certain methods somehow superficial. Nevertheless, the course will hopefully give you a respectable panoramic view of different available topics on ... Read more →

# Malaria inequality

## by Gabriel Carrasco-Escobar

Code for malaria inequality analysis … Read more →

# The Epidemiologist R Handbook

## by the handbook team

The Epi R Handbook is an R reference manual for applied epidemiology and public health. […] This handbook strives to: Written by epidemiologists, for epidemiologists We are applied epis from around the world, writing in our spare time to offer this resource to the community. Your encouragement and feedback is most welcome: Offline version See instructions in the Download handbook and data page. Languages We want to translate this into languages other than English. If you can help, please contact us. This handbook is produced by a collaboration of epidemiologists from around the world … Read more →

# Beyes R Book

## by Dr. Man Kai Wen & Cheng Hua

This book is a R guide book for UA course BER 695: Introduction to Bayesian Analysis. … Read more →

# Designcraft for experiments

## by cjlortie

This is a set of at-home practical exercises for experimental design. […] Welcome to experimental design. There are two sets of three exercises provided to explore principles for better experiments. This is a simple book to support the practical, at-home learning associated with experimental design. The text ‘Experimental Design for the Life Sciences’ underpins the design principles (Ruxton and Colgrave. 2018). Life is an experiment. Individually and collectively. We experiment everyday. This is an opportunity to formalize some of those processes and make the learning from experimental … Read more →

# TIES Measurement Report Automation Project

## by Michael Wu

This instruction manual is generated using the R package bookdown. The output format for this example is bookdown::gitbook. […] This project is developed to generate lengthy but informative measurement reports from survey data and Mplus measurement model outputs for projects at NYU Global TIES for Children. Typically, a research institute like TIES has the obligation to generate detailed measurement reports to better inform the funders and the cooperating agencies about its most up-to-date work. However, even with a Word template, the process from analytical results to a publishable report … Read more →

# Data Visualization Workshop

## by Taia Wu

Data Visualization Workshop […] “The greatest value of a picture is when it forces us to notice what we never expected to see.” — John W. Tukey This bookdown was created for a 2-hour minicourse on data visualization for students in the 2021 UCSF Science and Health Education Partnership Highschool Internship Program (SEP HIP). Interns – welcome! You can use this website and all of its resources during and after the workshop. Anyone else – welcome, also! Feel free to use what you find here for educational purposes. If you do, please cite this book and/or include the URL where you use these … Read more →

# A Guide on Data Analysis

## by Mike Nguyen

This is a guide on how to conduct data analysis […] This guide is an attempt to streamline and demystify the data analysis process. By no mean this is an ultimate guide, or I am a great source of knowledge, or I claim myself to be a statistician/ econometrician, but I am a strong proponent of learning by teaching, and doing. Hence, this is more like a learning experience for both you and me. Since the beginning of the century, we have been bombarded with amazing advancements and inventions, especially in the field of statistics, information technology, and computer science. However, I … Read more →

# Landscape Nature Recovery Pilot: Methods for spatially prioritisating outcomes under the pilot LNR scheme.

## by James Hutchison, Anna Deasey, Flora Donald & Becky Trippier, Ecosystems Analysis, Joint Nature Conservation Committee (JNCC)

This is a bookdown generated website containing the methods documentation used for generating the spatially priorised layers under the LNR pilot scheme, collating expert information and data from Defra group bodies aimed for spatially planning what actions should be suggested to landowners across England. Each outcome has its own chapter explaining the data which has gone into a prioritisation layer, the rationale behind it and further improvements which could be explored in future developments of the scheme. Read more →

# Eagle I.O Consultant Manual

## by Eagle I.O

This is the student consultant handbook for members of Eagle I.O. The output format for this example is bookdown::gitbook. […] This is the student consultant handbook for members of Eagle I.O. Herein lie expectations, responsibilities, and strategy to keep Eagle I.O sustainable with future Montclair State University I/O Psychology … Read more →

# The Social Covenant

## by Peter Lupu and Arthur Small

The Social Covenant … Read more →

# Uma introdução gentil à Ciência de Dados

## by Janaina Souza de Souza, Júlia Carolina Bijos, Kaike Wesley Reis

E-book em desenvolvimento. … Read more →

# Crime by the Numbers: A Criminologist’s Guide to R

## by Jacob Kaplan

This book introduces the programming language R and is meant for undergrads or graduate students studying criminology. R is a programming language that is well-suited to the type of work frequently done in criminology - taking messy data and turning it into useful information. While R is a useful tool for many fields of study, this book focuses on the skills criminologists should know and uses crime data for the example data sets. Read more →

# Preken

## by JHvdZ

Preken gehouden door JHvdZ … Read more →

# Introduction to Data Science

## by Rafael A. Irizarry

This book introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression and machine learning and helps you develop skills such as R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with UNIX/Linux shell, version control with GitHub, and reproducible document preparation with R markdown. Read more →

# Doing Meta-Analysis in R

## by Mathias Harrer, Pim Cuijpers, Toshi A. Furukawa, David D. Ebert

Welcome to the online version of “Doing Meta-Analysis with R: A Hands-On Guide”. This book serves as an accessible introduction into how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including pooling of outcome measures, forest plots, heterogeneity diagnostics, subgroup analyses, meta-regression, methods to control for publication bias, risk of bias assessments and plotting tools. Advanced, but highly relevant topics such as network meta-analysis, multi-/three-level meta-analyses, Bayesian meta-analysis approaches, SEM meta-analysis are also covered. The … Read more →

# Series de Tiempo

## by Víctor Morales-Oñate

Este documento está en construcción. Tiene por objetivo recoger material necesario para impartir un curso aplicado en modelización de Series de Tiempo. Puede dividirse en tres grandes componentes: i) Análisis exploratorio y descomposición, 2) modelización de series univariantes (incluye, ARIMA, ARCH y GARCH) y i) modelización de series multivariantes, expecíficamente de Modelos Vectoriales Autorregresivos (VAR). En la medida de lo posible el documento trabaja con series de tiempo del Ecuador. Además, el software utilizado para el análisis, estimación y predicción es … Read more →

# Eletrônica Geral

## by Patrick Mendes dos Santos

Material didático produzido para a disciplina Eletrônica Geral do Curso de Graduação em Engenharia Elétrica do Centro Federal de Educação Tecnológica de Minas Gerais. […] Este material, que ainda está em desenvolvimento, foi preparado para a disciplina Eletrônica Geral, do Curso de Graduação em Engenharia Elétrica do Centro Federal de Educação Tecnológica de Minas Gerais, Campus Nova Gameleira (Campus 2). Não apenas como material para o Ensino Remoto Emergencial, adotado devido à pandemia de COVID-19, mas também uma alternativa para as aulas presenciais, quando elas voltarem a ser … Read more →

# 2021 REU Data Science Training

## by Haoqi Wang

2021 REU Data Science Training […] Knowledge Gained: R, data wrangling, data visualization Main materials: Other resources Software: R Weekly Time-Commitment: 3-6 hrs of independent asynchronous work by students supplemented with ~1-3 hours of grad student led synchronous support. Asynchronous work: working through video tutorials Synchronous … Read more →

# Introduction to Data Science

## by Hansjörg Neth

This book provides an introduction to data science for students of any discipline with little or no background in data analysis or computer programming. Based on notions of representation, measurement, and modeling, we examine key data types (e.g., logicals, numbers, text) and learn to clean, summarize, transform, and visualize (rectangular) data. By reflecting on the relations between representations, tasks, and tools, the course promotes data literacy and cultivates reproducible research practices that precede and enable practical uses of programming or statistics. This book is still being written and revised. It currently serves as a scaffold for a curriculum that will be filled with content as we go along. Read more →

# Behavior Analysis with Machine Learning Using R

## by Enrique Garcia Ceja

Behavior Analysis with Machine Learning Using R teaches you how to train machine learning models in the R programming language to make sense of behavioral data collected with sensors and stored in electronic records. This book introduces machine learning concepts and algorithms applied to a diverse set of behavior analysis problems by focusing on practical aspects. Some of the topics include how to: Build supervised models to predict indoor locations based on Wi-Fi signals, recognize physical activities from smartphone sensors, use unsupervised learning to discover criminal behavioral patterns, build deep learning models to analyze electromyography signals, CNNs to detect smiles in images and much more. Read more →

# jamovi完全攻略ガイド

## by 芝田 征司

フリーの統計ソフト jamovi の使用方法についての日本語ガイドです。データの編集方法から分散分析や因子分析の設定方法まで、基本機能のすべてについて一通り説明しています。 […] は，高度な統計手法をできるだけ簡単に使用できるようにすることを目的として作成された統計ソフトウェアです。操作はマウス（トラックパッド）によるメニュー選択が基本で，複雑なコマンドを入力したりする必要はありません。jamoviと同じようにマウスで操作できる統計ソフトウェアとして非常に有名なものにSPSSがあり，大学を含め，さまざまな機関で統計処理や統計法の学習に使用されていますが，SPSSは非常に高価なソフトウェアであり，個人で気軽に購入できる … Read more →

# Geocomputation with R

## by Robin Lovelace, Jakub Nowosad, Jannes Muenchow

Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested in extending their skills to handle spatial data. Read more →

# Analysis scripts for NHi-C

## by Ting Peng

This book is a collection for of visualizing scripts for NHi-C … Read more →

# Introdução à Análise de Dados em R

## by Bruno Lucian & Claudia Jakelline

Livro texto que acompanha o Curso Introdutório de Análise de Dados em R […] Este curso é oferecido pela Escola de Gestão & Politicas Públicas da Fundação CEPERJ. A Fundação CEPERJ é uma instituição com mais de meio século de tradição, história e é reconhecidamente um legítimo centro de capacitação, recrutamento, cultura, e produção de estatísticas e de estratégia de políticas públicas para o estado do Rio de Janeiro. Bruno Lucian é graduado em Estatística pela UFF e Mestre em Matemática Aplicada pela FGV. Atualmente é Cientista de dados na Loggi, já atuou como cientista de dados líder na … Read more →

# Data Science for Beginners Part 2

## by Bakti Siregar S.Si, M.Sc

This repository was create a Bookdown using RStudio […] Department of Statistics Faculty of STEM Tangerang, Banten Info: siregarbakti@gmail.com In this book, we will begin to the next level of data science (Beginners part 2). Here, we will focus on computational statistics. The first section, focus on the fundamental of elementary statistics. These topics have to be done before we begin to learn inferential statistics (Regression & ANOVA): The second section, we will learn one of the most important models in Regression Analysis: In the third section, we learn how to compare multiple means … Read more →

# Statistics 240 Course Notes

## by Bret Larget

This book contains case studies and course notes for STAT 240, Introduction to Data Modeling, at the University of Wisconsin, including instruction for many tidyverse packages […] Statistics 240 is a first course in data science and statistical modeling at the University of Wisconsin - Madison. The course aims to enable you, the student in the course, to gain insight into real-world problems from messy data using methods of data science. These notes chart an initial path for you to gain the knowledge and skills needed to become a data scientist. The structure of the course is to present a … Read more →

# Log 708 Compendium - INCOMPLETE VERSION

## by Halvard Arntzen

This is a compendium used for the course Log 708 Applied Statistics at Molde University College, Norway. The content is basic statistics up to multiple regression analysis and use of R for practical applications. […] Business owners and managers make decisions on a daily basis, addressing everything from day-to-day operational issues to long-range strategic planning. Indeed, decision-making is the bread and butter of managers and executives, who make about three billion decisions each year. Bain researchers found that decision effectiveness is 95% correlated with financial performance. In … Read more →

# New Adolescent Fertility Measures for the Long-term Perspective

## by Ann Garbett

This book presents new demographic measures of adolescent fertility from a long term perspective. […] Current understanding of adolescent fertility is limited by an almost exclusive reliance on one fertility measure—the birth rate per thousand adolescents aged 15-19 (or teen birth rate). The teen birth rate’s falls short because it cannot: account for childbearing throughout all adolescence, convey information about age at first birth, examine patterns of repeat births in adolescence, or look at spacing between repeat adolescent births. All of these are important aspects of adolescent … Read more →

# 商业数据分析师-R 语言数据处理

## by Yufei Zhong

商业数据分析师的 R 语言学习笔记,主要集中在数据清洗相关包的介绍，从数据导入(本地数据 数据库)到数据清洗，到固定报表输出的自动化流程。 […] 本文主要是我作为商业数据分析师使用 R 语言做数据处理的学习笔记，主要是数据清洗相关包的介绍。 笔记内容包含：从数据导入到完成报表、报告、可视化等整个分析流程。 注意：R 包介绍时很多 demo 是照搬官方案例 … Read more →

# Solutions Calculus Vol 1 2th Edition

## by Luis Francisco Gomez Lopez

Solutions from the book Calculus, Volume 1: One-variable calculus, with an introduction to linear algebra Second Edition (1988) by Tom Mike Apostol. […] The main objective of this book is to present all the solutions of the exercises proposed in (Apostol 1988) Currently it is a work in … Read more →

# Novel Approaches and Analytics

## by Bodong Chen

This is a course handbook written by Bodong Chen for his SNA course at UMN. […] This site is built for a course titled CI 8371 - Applied Social Network Analysis in Education, taught by Prof. Bodong Chen at the University of Minnesota. Content on this site will be actively built and refined throughout the Spring 2021 semester. While the course is titled Social Network Analysis in Education, this course is not limited to social networks or to education. We will broadly examine social, information, and artificial networks in a variety of learning contexts including schools, workplace, and … Read more →

# R course

## by Berry Boessenkool, berry-b@gmx.de

R course […] This website provides instructions to get started with R. It serves as a companion for courses I teach, see brry.github.io. The source code is available at github.com/brry/course, specifically the website folder. In case the table of content on the left is not shown, click the four bars. Pro tip: the arrow left/right keys jump between … Read more →

# Texto como Dado para Ciências Sociais

## by Davi Moreira

Compilação de métodos e técnicas para análise automatizada de conteúdo […] A partir da produção de material para o curso Text as Data: análise automatizada de conteúdo que ministrei no MQ-UFMG em 2019 e no artigo que publiquei em coautoria com Maurício Izumi (Izumi and Moreira 2018), esse livro tem como propósito difundir nas ciências sociais e humanidades técnicas e métodos de análise automatizada de conteúdo usando a linguagem R. O principal objetivo do livro é ser tutorial prático de uso e aplicação de técnicas e métodos de análise automatizada de conteúdo na língua portuguesa através da … Read more →

# The Social Life of Neighborhoods: Data Preparation & Mapping Tutorials

## by Professor Forrest Stuart, TA: Francine Stephens

This is a website with tutorials for the Social Life of Neighborhoods offered in SOC 176/276. […] The following is a series of tutorials specifically designed for The Social Life of Neighborhoods (SOC 176/SOC 276/AFRICAAM 76B/CSRE 176B/URBANST 179) course. The course assignments and final story map require collecting and analyzing information about neighborhoods and other urban spaces. In the tutorials, you will be introduced to tools that will allow you to gather, process, and visualize data so that you can complete the assignments and create your own story map. No prior experience or … Read more →

# Introducción a R para el razonamiento cuantitativo con datos

## by Rodolfo Carvajal, Marcos Goycoolea (editores), Con contribuciones de Ismael Valdivia, y de todo el equipo de profesores del curso Razonamiento Cuantitativo con Datos, Universidad Adolfo Ibáñez.

Introducción a R para el razonamiento cuantitativo con datos […] Este texto es el apunte de R usado en el curso Razonamiento Cuantitativo con Datos (RCD), de la Universidad Adolfo Ibáñez. Este curso tiene como objetivo desarrollar en sus alumnos la capacidad de extraer información a partir de datos; resumir esta información, comunicarla de manera efectiva, y usarla para predecir y tomar decisiones. Esto pasa por desarrollar una forma de pensar, así como por aprender a usar las tecnologías de visualización, análisis y manipulación de datos masivos más importantes en aplicaciones relevantes a … Read more →

# The Temple of Esna. An Evolving Translation: Esna II

## by David Klotz

Publishing a book in Egyptology typically requires several years of intensive research, writing, and revisions. Once a volume is finally complete, often the cost is prohibitive for most audiences besides specialized academic libraries. This book in progress is an experiment in how one might more quickly use existing templates and online publishing tools to make an open-source book accessible to all readers both during and after its creation, so scholars and the interested public can take advantage of any insights sooner. Corrections or updated references can be made quickly and easily. The … Read more →

# Fundamentals of Wrangling Healthcare Data with R

## by J. Kyle Armstrong

Data Wrangling is the process of gathering, selecting, transforming and mapping “raw data” into another format with the intent of making it more appropriate and valuable for a variety of downstream analytic purposes. The Primary goal in data wrangling is to assure quality and useful data. Also known as “data cleaning”, “data processing”, or “data munging”; many professionals will tell you that data management related tasks will consume upwards of 80% of their time, leaving only 20% for modeling. Wikipedia describes several key aspects of data wrangling: Discovering Structuring Cleaning … Read more →

# Computational Social Science: Theory & Application

## by Paul C. Bauer

Script for the seminar ‘Big Data and Social Science’ at the University of Bern. […] The present document serves both as slides and script for the workshop/seminar Computational Social Science: Theory & Applications. This seminar is taught by Paul C. Bauer at the University of Mannheim (Spring Semester 2021). The material was developed by Paul C. Bauer and heavily draws on material developed by other people (see script). Any original material and examples is licensed under a Creative Commons Attribution 4.0 International License. For potential future versions of the course see my website: … Read more →

# R 语言学习笔记

## by Ruohan Li

R 语言学习笔记 […] 首先要下载并安装 r 和 rstudio, 操作在 rstudio 中进行。 学习资源：MarinStatsLectures - Home【麦子】R语言系列课程3：方差分析_哔哩哔哩 (゜-゜)つロ … Read more →

# Customer-Analytics-Business-Intelligence

## by gubiithefish

Customer-Analytics-Business-Intelligence […] Chapters and sections can be labeled using {#label} after the name. We can reference Chapter ?? by writing @ ref(intro). Parenthetical citation can be created by writing [@xie2015], e.g. (Xie 2015, 45) Narrative citations can be created by writing @R-bookdown, e.g. Xie (2021) Figures and tables with captions will be placed in figure and table environments, respectively. Figures can be referenced by its code chunk label with the fig: prefix, e.g., see Figure 0.1 Tables can likewise be referenced by its code chunk label with the tab: prefix, e.g., … Read more →

# 数据科学中的 R 语言

## by 王敏杰

一个简单的中文书示例。 […] 你好，这里是四川师范大学研究生公选课《数据科学中的R语言》的课程内容。考虑到大家来自不同的学院，有着不同的学科背景，因此讲授的内容不会太深奥（要有信心喔）。 比如在课程中以下内容就不会出现 [ f(x)=\frac{1}{\sqrt{2 \pi}} e^{-\frac{1}{2} x^{2}} ] 而出现更多的是 在跟进本课程的同时， 我强烈推荐大家阅读Hadley Wickham的 r4ds这本书 (Grolemund and Wickham 2017)。作者可是2019年8月刚刚获得考普斯总统奖（被誉为统计学的诺贝尔奖）的大神喔，点击这里可以看他照片。 1、课程安排是这样的，每个章节研究的内容都是彼此独立的，大家可以单独阅读每章及运行代码。 … Read more →

# Tutorial

## by Golub Capital Social Impact Lab

This is a tutorial on machine learning-based causal inference. […] This tutorial will introduce key concepts in machine learning-based causal inference. It’s an ongoing project and new chapters will be uploaded as we finish them. A tentative list of topics that will be covered: Please note that this is currently a living document. Chapters marked as “beta” may change substantially and are in most need of feedback. If you find any issues, please feel free to contact Vitor Hadad at vitorh@stanford.edu. The “changelog” below will keep track of major updates and additions. We’ll illustrate key … Read more →

# QCA with \textsf{R}

## by Adrian Dușa

The main manual for the QCA package in R […] The initial idea to write this book emerged in August 2016, with the intention to update the description of package QCA in R. A lot of things have changed since the appearance of the previous user guide five years ago, when the package reached version 1.0-0. Most of the commands are backwards compatible, meaning that all examples from the previous guide still work with the current version of the package. There are some minor but important differences, for instance the function calibrate() has its default changed from type = “crisp” to type = … Read more →

# phi4-analysis

## by Marco Garofalo

This book contain the result of the analysis of the phi4 scattering project […] [\begin{align} & {\cal L}= {\cal L}0+ {\cal L}1+ {\cal L}{IZ_2} \ &{\cal L}0= \frac{1}{2} \partial\mu \varphi_0\partial\mu \varphi_0 +\frac{1}{2}m_0 \varphi_0^2 +\lambda_0 \varphi_0^4 \ &{\cal L}1=\frac{1}{2} \partial\mu \varphi_1\partial_\mu \varphi_1 +\frac{1}{2}m_1 \varphi_1^2+\lambda_1 \varphi_1^4 \ &{\cal L}_{IZ_2}= \mu \varphi_0^2 \varphi_1^2 \ &{\cal L}_{I}= g \varphi_1 \varphi_0^3 \end{align}] On the lattice we can discretise the derivative (\partial_\mu \varphi(x)=\frac{1}{a}(\varphi(x+\mu … Read more →

# Introducción a la ciencia de datos con R.

## by Gastón Becerra y Juan Pablo López Alurralde

Curso intro de R […] Estos recursos corresponden a un seminario de sociología y epistemología del big data. El presente material corresponde a la unidad práctica de dicho seminario, que busca introducirnos en análisis de datos por medio del lenguaje R. Si bien este objetivo es explícitamente de nivel introductorio, creemos que puede ser un primer paso hacia un fin necesario: acercarnos al fenómeno de los datos, con una mirada “desde adentro.” Escenarios sociales y técnicos como el big data, así como los avances en inteligencia artificial y la proliferación de algoritmos en diversas esferas … Read more →

# Fundamentals of Wrangling Healthcare Data with R

## by J. Kyle Armstrong

Fundamentals to Data Wrangling and programming with R v 4.1; examples with Health Related Data […] Data Wrangling is the process of gathering, selecting, transforming and mapping “raw data” into another format with the intent of making it more appropriate and valuable for a variety of downstream analytic purposes. The Primary goal in data wrangling is to assure quality and useful data. Also known as “data cleaning,” “data processing,” or “data munging”; many professionals will tell you that data management related tasks will consume upwards of 80% of their time, leaving only 20% for … Read more →

# Utah IR R tools user guide

## by UDWQ Integrated report team

A guide to installing R and the necessary R packages developed for Utah’s Integrated Report process. […] bookdown.org/jakevl/IR-R-tools-guide This guide walks secondary reviewers through installing R and its associated packages on their computer. A snapshot of the commands required to run the R packages is available on the “Install or Access R Tools” card on the Current Report Development Trello Board. Please refer to the FAQs section for answers to common questions, but note that this section will grow as we move through the process as group. If you still have questions about running R or … Read more →

# 现代统计图形

## by 赵鹏, 谢益辉, 黄湘云

现代统计图形书稿 […] 本书写作过程中收到来自 Song Li、 JackieMe 、 yang 的贡献，在此表示感谢，我们欢迎更多的人参与改进本书。 本书搬迁过程中更新、替换了原稿中的很多代码，现在与本书配套的 R 软件版本是 R version 4.1.0 (2021-05-18)，我们同时也在 R 版本 3.6.1 中完成测试。为方便读者复现本书中的计算结果和统计图形，同时也为了方便在 Travis 上自动测试贡献者提交的 PR 和自动部署每次提交的修改，本书的运行环境已经被打包成 Docker 镜像，托管在 Docker Hub 上，镜像地址是 https://hub.docker.com/r/xiangyunhuang/msg-book， 读者可从 Docker Hub 上下载，也可根据目录 docker/ 下的 … Read more →

# jamoviクイックガイド（Analysis編）

## by 芝田 征司

本書はjamoviのAnalysisモードの簡易ガイドです。jamoviのAnalysisモードに含まれるメニュー項目およびその設定項目について，簡単な説明を加えています。 […] 本書はjamoviのAnalysisモードを使用するための簡易ガイドです。メニューに含まれる項目やその設定項目について，日本語訳と簡単な説明を加えています。各項目の詳細な説明やその使用方法などについては，「jamovi完全攻略ガイド」の方をご覧ください。なお，本書はjamovi1.8.0.0をベースに作成しています。jamoviは活発に開発が進められている統計ソフトウェアですので，jamoviのバージョンが進み，本書の内容と実際のソフトウェア画面に違いが生じてしまう場合もありえます。そ … Read more →

# Text Mining with R

## by Julia Silge and David Robinson

This is the website for Text Mining with R! Visit the GitHub repository for this site, find the book at O’Reilly, or buy it on Amazon. This work by Julia Silge and David Robinson is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 United States … Read more →

# Introduction to Computational Finance and Financial Econometrics with R

## by Eric Zivot

Add description […] Outline of preface (preliminary and incomplete). June 21, 2016. I started teaching the course Introduction to Financial Econometrics at UW in 1998. Motivation was to teach more statistics and quantitative methods to economics majors. I found that combining statistics topics with finance applications was very effective and popular. Early classes used Microsoft Excel as the main software tool (R was not around then). Experience with Excel was, and still is, in high demand by employers in the finance industry. However, Excel is not a good tool for doing statistics. In early … Read more →

# 现代科研指北

## by 于淼

才疏学浅，不知何为真，仅通少错之法，故不敢言南，仅指北。或曰：现代科研挖坑／跳坑指南。 […] 这本书会通过协作方式不断在线更新，版本号从2.7开始，会以自然底数为模版不断增长，没有尽头。在此特别感谢谢益辉博士开发的 bookdown 包，没有基于 rmarkdown 的完整软件生态，这本书不会落地。 本书感谢知乎 @羲洁、张汇泉、 @wogong 对书稿的校正，特别感谢电子工业出版社付睿与许艳老师对本书出版的帮助。 … Read more →

# Uma Introdução à Programação com o R

## by Jessica Kubrusly

Livro que é resultado das notas de aula do curso de Programação Estatística do Departamento de Estatística da Universidade Federal Fluminense - UFF. […] Este texto foi desenvolvido a partir das notas de aula da disciplina de Programação Estatística, oferecida pelo Departamento de Estatística da Universidade Federal Fluminense (UFF). A ideia principal dessa disciplina, e também deste ebook, é reforçar conceitos de programação de computadores no Programa R. Dessa forma, o aluno passa a ver o Programa R não só como um software estatísticos com pacotes prontos, mas também como uma linguagem de … Read more →

# Geostatystyka w R

## by Jakub Nowosad

Introduction to geostatistics with R (in Polish). Skrypt ma na celu wprowadzenie do analiz przestrzennych (GIS) używająć języka programowania R, a następnie zastosowanie uzyskanej wiedzy do wykonania estymacji (interpolacji) oraz symulacji geostatystycznych. […] Masz przed sobą skrypt zawierający materiały do ćwiczeń z geostatystyki. Składa się ona z kilkunastu rozdziałów pokazujących jak: wygląda geostatystyczna analiza danych (rozdział 1), dodawać i wizualizować dane przestrzenne w R (rozdział 2), wykonywać wstępną eksplorację danych nieprzestrzennych (rozdział 3), wstępnie analizować … Read more →

# Introduction to R - tidyverse

## by Brendan R. E. Ansell @ansellbr3

Introduction to R - tidyverse […] This document contains the material covered in the Introduction to R (tidyverse) course taught at the Walter and Eliza Hall Institute of Medical Research. The course is taught to biomedical scientists, but the material and the teaching examples are very broad. Skills taught in this workshop can be applied to many disciplines in academia and industry. There is no assumed knowledge of R or other computer languages - we start from scratch. Chapters 1 through 5 make use of popular (non-biological) teaching data sets available through R. Chapters 6 onwards … Read more →

# Title

## by Your name

Title […] I want to thank a few people. This is an example of a thesis setup to use the reed thesis document class (for LaTeX) and the R bookdown package, in general. You can have a dedication here if you … Read more →

# Working with data

## by Terrill Paterson

This is a short workbook designed to help students in the MSSE program feel better about how to talk about the data generated from their capstone projects. […] This short book encapsulates everything that we used to cover in an in-person short course, the entire point of which was to collaboratively improve our ability to talk about, describe, and display data. We began the course as a deep-end-of-the-pool method of trying to take away some of the concern and fear that people have when it comes to writing about their Capstone data. Our goals are very simple: The only requirements for this … Read more →

# Data Science Boot Camp

## by Arthur Small, Principal Scientist

Course materials for the Data Science Boot Camp, Weldon Cooper Center for Public Service, University of Virginia June 8-10, 2021 […] This boot camp is designed to help research assistants rapidly to become productive doing data science as a member of the Cooper Center team. The mini-course offers introductory training in how to do data science as a member of a team. It also provides an orientation to the projects, resources, and house styles that are specific to the Cooper Center. R4DS: R for Data Science by Hadley Wickham and Garrett Grolemund. An excellent introduction, available for free … Read more →

# rdwd

## by Berry Boessenkool, berry-b@gmx.de

rdwd is an R package to handle data from the German Weather Service (DWD). This website has 3 main sections: Important links: The remainder of this intro chapter is a copy of the github README file. rdwd is an R package to select, download and read climate data from the German Weather Service (Deutscher Wetterdienst, DWD). The DWD provides thousands of datasets with weather observations online at opendata.dwd.de. Since May 2019, rdwd also supports reading the Radolan (binary) raster data at grids_germany. rdwd is available on CRAN: It has been presented at FOSDEM 2017 and UseR!2017 in … Read more →

# The Derivatives Academy

## by Maxime de Bellefroid

This book aims at sharing knowledge about Equity Derivatives. It has been written within a pedagogical approach alongside the development of an exotic options pricer. The goal is to allow the reader/user to hone his theoretical and practical skills to be able to secure junior position in the Derivatives field. […] This material aims at serving the Equity Derivatives community by sharing knowledge and thoughts about differents topics in this field. More specifically, it aims at providing graduates with semi-practical knowledge through the use of a derivatives pricer that I developped for … Read more →

# Lean Seis Sigma

## by María Asunción Martínez Mayoral (asun.mayoral@umh.es)

Ejemplos prácticos para la asignatura Mejora de Procesos (1479) del Grado en Estadística Empresarial de la Universidad Miguel Hernández […] Este libro contiene todos los contenidos teóricos y ejemplos desarrollados para el aprendizaje de la asignatura 1479 Mejora de Procesos basada en la metodología Lean Seis Sigma, que se imparte en el 4º curso del Grado en Estadística Empresarial de la Universidad Miguel Hernández de Elche (UMH), España-Spain. Esta asignatura es eminentemente práctica y se imparte con el software R, de modo que todos los ejemplos están implementados en este lenguaje. El … Read more →

# NL and Malaria in Venezuela

## by Gabriel Carrasco-Escobar

Nighttime Lights and Malaria in Venezuela … Read more →

# Mengfei NeuroBook

## by Mengfei Cai

Neuroimaging is fascinating. […] Welcome to Mengfei’s NeuroBook. I am a PhD student, working in the domain of Vascular Neurology. The ongoing project I am currently working on is the the progression of small vessel disease (SVD): 14-year Follow-up embedded into the RUN DMC study, supervised by Professor FrankErik de Leeuw. Specifically, we apply some neuroimaging analyses to extract the structural/diffusion information from MRI scans in an effort to leverage these information to gain a better understanding of SVD. MRI has emerged as an increasingly popular and powerful way to study in vivo … Read more →

# Book_MI.knit

## by mwheymans

Copyright ©2019 by Heymans and Eekhout All rights reserved. No part of this book may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording, or by any information storage and retrieval system, without permission in writing from the … Read more →

# 读书笔记：中共的治理与适应

## by Yuyang Shi

政治学显然还没有发展起合适的工具和范畴，可以对像中国这样的政治体制的经济社会发展与稳定进行更细致的分类。 […] https://book.douban.com/subject/26592476/ 这本书各部分质量参差不齐。戴长征的那篇文章不要看。《政党-国家？》的翻译太烂，必须找原文。 会议集并没有如预期惊喜。以后可以刷一刷俞可平的东西。暂时还没看出杨雪冬的好坏。 「管理-治理」之争是一个必须注意的话题，这和我关系的state-society问题的关系特别密切。何增科那篇文章没有亮点，但是梳理的很好，可以借鉴。 … Read more →

# Reproducible Science for Busy Researchers: How to Save Time using Literate Programming

## by Dr. Andrew P. Lapointe

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] Signe recommended students run a live tutorial in swirl Google Analytics https://benmarwick.github.io/bookdown-ort/mods.html#google-analytics These resources are not relevant for students but they are to me. To render the book used the following code, you must do this before knitting the GitBook (webpage) The _output.yml contains the header arguments. I would but them here so its cleaner and easier to read the code. Is there a way I can have matlab code … Read more →

# 《地方: 記憶, 想像與認同》摘要

## by 陳奕達

新台嘉讀書會第二、三週，陳奕達負責之讀本摘要。 […] 《地方: 記憶, 想像與認同》(Cresswell … Read more →

# Merging Discussion

## by Katrina Hueniken

Merging Discussion […] The dplyr package has a suite of four functions for merging two datasets together. The syntax is borrowed from SQL … Read more →

# Using R in Social Work Research

## by Jerry Bean, College of Social Work, The Ohio State University

This is an example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] Our goal for this document is to illustrate the importance of good data analysis practices and how R and companion packages support these practices. We think the R system has many benefits for social work research. R has become the flagship computing environment for many areas of science and has great appeal because it is free and open-access. In addition, free tools like RStudio and R Markdown promote an a replication commitment and open science philosophy … Read more →

# Philosophical Ethics

## by George W. Matthews

This book is an introduction to philosophical ethics intended for use in high school or college classes. It includes chapters on logic and argumentation, major philosophical approaches to ethics and a few chapters outlining topics in applied ethics. … Read more →

# Skript zum MAS Modul Servotechnik

## by Martin Pischtschan

Skript Servotechnik […] Dieses Dokument dient als Grundlage für das MAS-Modul “Antriebstechnik,” welches von der Fachhochschule Nordwestschweiz angeboten wird. Es behandelt die Grundlagen der aktuellen Servotechnik. Das Dokument kann hier kostenlos gelesen werden. Ein PDF-Dokument kann via Email (martin.pischtschan@fhnw.ch) angefragt … Read more →

# Statistics Handbook

## by Michael Foley

Notes cobbled together from books, online classes, etc. to be used as quick reference for common work projects. […] These notes mostly self-education from books, online classes, tutorials, vignettes, etc. They probably have a lot of mistakes, are poorly organized, and shaky on fundamentals. I hope over time this document grows and improves in quality along with my own mastery of data analysis, but that’s all I can say for it. If you found this from an internet search, use at your own risk! The focus of this handbook is statistical inference, including population estimates, group … Read more →

# A Crash Course in Geographic Information Systems (GIS) using R

## by Michael Branion-Calles

A Crash Course in Geographic Information Systems (GIS) using R […] There is an assumption of some previous experience in R with this tutorial. If you have not used R before I would start with Chapter 1 of the free, and excellent textbook R for Data Science. The GIS operations in R from the sf package are designed to integrate well with the tidyverse suite of R packages. We will make use of some basic functionality from the dplyr package and will be using pipes (%>%) to sequence multiple operations. If you are unfamiliar with dplyr and pipes I would go through the base vignette before … Read more →

# Curso R 2021

## by Roberto C. Duarte

Este libro es una introducción al paquete bookdown para la escritura de libros (en castellano, galego, …). […] Este libro es una pequeña guía sobre como emplear el paquete bookdown de R para la escritura de libros, incluyendo algunos detalles de configuración para la escritura en otros idiomas distintos del inglés (castellano, galego,…). Este mismo libro ha sido escrito en R-Markdown empleando el paquete bookdown y está disponible en el repositorio Github: rubenfcasal/bookdown_intro. Para generar el libro (compilar) puede ser recomendable instalar la última versión de RStudio y la versión … Read more →

# Health Policy Reform in the 50 States, 2011-2021

## by Boris Shor

This book describes and analyzes health policy reforms from 2011-2021. It was funded by the Russell Sage Foundation. How well do the America’s thousands of state legislators represent their constituents on the implementation of health policy reform at the state level? Are the decisions they make in the statehouse reflective of the wishes and needs of their constituents, or do other influences such as their own preferences, or those of their party hold more sway? We don’t now know this because of huge problems in measurement, especially at this level of government. Understanding the … Read more →

# Processo de Produção do Formaldeído

Em desenvolvimento […] O formaldeído é um composto orgânico de extrema importância na indústria e mercado mundial. Dotado de grande versatilidade, são inúmeras as aplicações desse composto em diferentes setores da indústria química. Desse modo, o trabalho em questão tem como objetivo a aplicação dos conceitos de balanço de massa e energia para a simulação do processo de produção do formaldeído através da utilização do software Microsoft Excel. Calculando-se o grau de liberdade para assumir parâmetros baseados na literatura e assim resolver o sistema através da ferramenta solver. … Read more →

# Coding in R

## by Michael Foley

Handbook of basic R coding concepts and practices. […] This is a handbook of basic R concepts and best … Read more →

# Kurshandbuch

## by Marco Lünich, M.Sc.

Kurshandbuch zum Methodenseminar ‘Vertrauen, Legitimität, Fairness & Co.: Die Messung latenter Variablen in der politischen Kommunikation’ […] Das folgende Dokument enthält alle wichtigen Informationen zum Seminar Vertrauen, Legitimität, Fairness & Co.: Die Messung latenter Variablen in der politischen Kommunikation im WS 20/21 am Institut für Sozialwissenschaften der Heinrich Heine Universität Düsseldorf. Work in … Read more →

# Aoyue Bi’s Study Notes

## by Aoyue Bi

This is a book recording the daily study during my PhD […] I began my studies in plant genetics with the ambition to work on deleterious mutations. My interests concentrate mainly on the application of quantitative genetics and computational biology to associate agriculturally important phenotypes. And now I am devoting myself to the study on biological effect of deleterious mutations on wheat genome. As a member of the VMap 2.0 project team, I think it is such an rare opportunity in life that I will cherish it and do my best. I like the following sentences and will share these to all of … Read more →

# Análise estatística de como a cor/raça branca e preta influencia na qualidade de vida do morador de Salvador

## by Ana Batriz dos Santos Barros, Ana Beatriz Mendes Lopes, Janaina Souza de Souza e Simão Pedro de Oliveira Urpia

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] Neste trabalho são apresentados dados levantados pelo IBGE e análises realizadas sobre como a qualidade de vida do morador de Salvador é influenciada pela sua cor/raça. Dessa forma, foram correlacionados alguns parâmetros sociais como alfabetização, analfabetismo, pobreza e envelhecimento com as quantidades de pessoas autodeclaradas Pretas ou Brancas em regiões da cidade de Salvador. A análise feita utiliza técnicas da estatística descritiva para apresentar, … Read more →

# Machine Learning for Economics 2020/21: R labs

## by Michela Cameletti

Notes for the R labs of the MLFE course @ Unibg […] You are reading the lecture notes of the R labs for the Machine learning for Economics (MLFE) course at University of Bergamo (academic year 2020/21). The MLFE course is the second module of the Coding and Machine Learning course. The MLFE R labs are designed for students who already have some experience with R programming thanks to the first module of the Coding and Machine Learning course. Click here to access the R lab notes of the first module regarding introduction to R language and the tidyverse package. Enjoy the journey! … Read more →

# Analyzing single-case data with R and scan

## by Jürgen Wilbert

1 … Read more →

# R_for_Hydrology.knit

## by 孔冬冬

R语言-水文气象学应用分析 […] 建议采用TinyTeX (which includes XeLaTeX): https://yihui.org/tinytex/编译本书的pdf版本。 你好，世界。我写了一本书。这本书是这样的，第 4 章介绍了啥啥，然后是啥啥…… 我用了两个 R 包编译这本书，分别是 knitr (Xie 2015) 和 bookdown (Xie 2021)。以下是我的 R 进程信息： 致谢 非常感谢谁谁以及谁谁对我的帮助。艾玛，要不是他们神一样的队友，我两年前就写完这本书了。 … Read more →

# 🃏 Probability I

## by Dr. Daniel Flores Agreda (based on the Lecture by Prof. Davide La Vecchia)

Course Materials […] Hello and Welcome to this introductory Lecture in Probability! These Course Notes are a complement to the Lecture Probability I. The Lecture is divided in the following Chapters, and each Chapter contains several themes. The Lectures will take place over Zoom on Thursdays from 12h to 14h. Lectures will consist on a presentation of the contents of the class. During the class, there will be some exercises. You are invited to download the app Wooclap Q&A sessions on the exercises will take place on Thursdays from 16 to 18 over Zoom. We will soon be making available a … Read more →

# STA 141 - Exploratory Data Analysis and Visualization

## by Derek L. Sonderegger

STA 141 - Exploratory Data Analysis and Visualization […] The history of advertisement is full of examples of false advertisement. In the United States, the Federal Trade Commission regulates advertisement and can level fines for deceptive or misleading ads. As a result, the ads typically say true, but misleading facts. The shift to people getting information from social media sources has exacerbated the problem. With hundreds of automated accounts on a media site, a disinformation campaign can continually present their information without suffering any penalty. In order to be compelling, … Read more →

# ADVANCED REGRESSION AND PREDICTION: MACHINE LEARNING TOOLS

## by Ilán F. Carretero Juchnowicz

This is a bookdown in which the second part of the project of the subject advanced regression and prediction of the Master’s Degree in Statistics for Data Science has been carried out […] Currently Machine Learning (ML) techniques are applied in an infinity of fields to obtain knowledge from data. Among these fields today we can highlight the appearance and effect of the coronavirus disease (COVID-19) in all aspects of society. That is why, by completing this second part of the advanced regression and prediction course, it is intended to use the techniques learned during the practical and … Read more →

# Fashion Logistics Analysis

## by Robert Goedegebuure

Descriptive Analysis of Fashion Data […] This module makes use of R. To replicate, understand and adapt the code used in this module, download R and RStudio. In this module, you will use several R packages. You have to install these packages on your computer, using install.packages(“packagename”). You only have to install packages once on your computer. Only after installing new versions of R, you have to install packages again. For invoking the functions and accessing the data sets embedded in these packages, use the library() command, in each session. RStudio shows a list of installed … Read more →

# Weekly Readings

## by Yuyang Shi

本科生的小惶恐 […] … Read more →

# Kurse Notitzen

## by Kan Lei

Notitzen sammeln […] Das ist nur ein “Buch” die Notitzen aus Kurse zu sammeln. Alle Kurse sind in der Master Studiengang Hydrologie an der TU Dresden geplant, die Notitzen grunden auf den Skripten aus … Read more →

# Business Statistics

## by Josip Arnerić & Anita Čeh Časni ©jarneric@net.efzg.hr, aceh@net.efzg.hr

Business Statistics […] The course purpose is to introduce a formal framework for analyzing real life business problems with actual data, so that students can improve their understanding of the circumstances in which statistical techniques should be used and how to apply statistics to practical business situations. The entire course is supported with many case studies and worked-out examples. In particular, statistical techniques are grouped in sections covering applications in the field of decision making, business forecasting, quality control, and commonly used descriptive and inferential … Read more →

# POLI 330 International Organization

## by Shaoshuang Wen, University of South Carolina,

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] The goal of this course is to introduce students to the structure and functions of international political and economic organizations. Particular attention to the United Nations and its specialized agencies, and to emerging regional communities. We look in depth at the United Nations, the World Trade Organization, international courts, and the international financial institutions, as well as other international organizations in comparative terms. Students … Read more →

# Introduction to R

## by Jena University Hospital, Institute of Medical Statistics, Computer and Data Sciences, Julia Palm (julia.palm@med.uni-jena.de)

Accompanying IMSID course […] This instruction manual belongs to the course Introduction to R which is taught at the Institute for Medical Statistics, Computer and Data Sciences at Jena University hospital. Each chapter belongs to one of the five course dates. It is written in a way that should allow you to reproduce the entire course by yourself on your personal computer. There are a lot of code examples in this instruction manual. You can generally recognize a piece of R code in this document by the grey highlighting. If the code returns a result, the result is displayed directly below … Read more →

# Scientific Research and Methodology: Software

## by Peter K. Dunn

Using software for quantitative research in science and health (including research design, hypothesis testing and confidence intervals in common situations) […] This book has been prepared for use with the book Scientific Research and Methodology, which is an introduction to quantitative research methods in the scientific, engineering and health disciplines. This book is an introduction to quantitative research methods in the scientific and health disciplines, and introduces the whole research process, from asking a research question to analysis and reporting of the data. The focus, … Read more →

# 基于R语言的科研信息分析与服务

## by 王敏杰

Scientific Research information service using R […] 在图书馆开设R语言系列讲座也有一年半载了，在此过程中我萌生了用R语言写一本书的想法，一方面是想为学生提供R语言学习范例，另一方面也借此为我校科研人员提供一些科研信息服务。如果此举能做到教学相长，更好地实践和应用数据科学，也算是一次很有意义的尝试，无奈自己时间精力有限，写书进展缓慢。 本书数据处理和可视化用到 tidyverse, 您也可以参考我的课件《数据科学中的 R 语言》。 本书的代码可以公开，您完全可以重复每一过程。本书使用的代码和数据集 可能用到的开发版本的宏包 … Read more →

# Sobre reduzir distâncias…

## by Renata Lúcia Magalhães de Oliveira

Sobre reduzir distâncias… […] Atualmente sou professora associada do Centro Federal de Educação Tecnológica de Minas Gerais, onde leciono geografia aplicada às Ciências Sociais, geografia de transportes, análise urbana, análise de dados para gestão e cursos de logística e logística urbana desde 2006. Após concluir meu doutorado em Geografia em 2015, tenho me envolvido em pesquisa com foco em planejamento orientado à acessibilidade, transporte de cargas urbanas e análise espacial aplicada. Sou coordenadora do grupo de pesquisa PLACES - PLANEJAMENTO para ACcESs, membro da Rede de Pesquisa … Read more →

# Modelos Estadísticos

## by Javier Morales (Universidad Miguel Hernández de Elche), Mª Asunción Martínez (Universidad Miguel Hernández de Elche)

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] Este compendio de unidades sobre modelización estadística trata de mostrar una versión aplicada para el tratamiento de los modelos estadísticos más básicos. El objetivo no es mostrar una versión teórica de estos modelos sino una versión aplicada. Se recomienda a los lectores interesado que complementen la teoría de estos modelos con manuales más específicos. Para poder seguir los contenidos aquí expuestos se recomiendan conocimientos básicos de estadística … Read more →

# Pharmacy Primer for T-SQL Database Interrogation

## by Charles T. Makowski, PharmD

Pharmacy Primer for T-SQL Database Interrogation is a manual intended for pharmacist SQL practitioners at a beginner to intermediate skill level. It approaches the topic of Microsoft Transact-SQL (T-SQL) database interrogation from the HFHS perspective using pharmacy use cases from real-world projects. The manual makes an up-front investment in foundational SQL theory that (hopefully) rewards the user with more nuanced and targeted examples in its later materials. Read more →

# VDL-NGS-Lab Analysis Protocol

## by Ying Zheng

This is book for VDL-NGS analysis. The output format for this book is bookdown::gitbook. bookdown Template from Dr. Xie, Yihui […] Disclaimer： Only take this protocol as a tutorial for reference, but not SOP! Always follow the policy and regulation of VDL data usage and keep the data safe and confidential. Always make decision according to different circumstance. Discussion is a good idea to make questions clear. Keep learning, continuously updating knowledge and skills. Revision and updates will be made and appended to this document continuously. Please let me know if there is any error. … Read more →

# GESIS Workshop: Applied Data Visualization

## by Paul C. Bauer

Script developed for the Gesis Workshop Applied Data Visualization. […] This document serves as slides and script for the workshop Applied Data Visualization taught by Paul C. Bauer (Gesis, Mannheim, 18-21 of May 2021).1 Original material is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license. Where I draw on other authors material (I do so extensively) other licenses may apply (see [Workshop: Literature] as well as the citations and links in the script). For potential future versions of this material see www.paulcbauer.eu. If you have feedback … Read more →

# R语言学习笔记

## by Yufei Zhong

宇飞的R语言学习笔记,主要集中在数据清洗相关包的介绍，从数据导入(本地数据 数据库)到数据清洗，到固定报表输出的自动化流程。 […] 本文主要是我作为商业数据分析师的R语言学习笔记，主要是数据清洗相关包的介绍。 … Read more →

# K-Means Clustering

## by Robert Goedegebuure

An E-book explaining K-Means clustering using R. […] In this reader, we explain how to perform K-Means clustering in … Read more →

# WildCo: Reproducible camera trap data exploration and analysis examples in R

## by WildCo Lab, UBC

This resource is a ‘living document’ representing useful data exploration and data analysis workflows we use within the WildCo lab, WildCAM network and (hopefully) beyond. […] This guide was made as a way of sharing our research labs collective knowledge on the management, manipulation and analysis of camera trap data. It was born out of the realization that many analysis frameworks we apply as camera trappers, do not have specific examples which involve camera trap data. Thus we wanted a resource which takes a single data set from raw data to analysis, showing all of the steps in between! … Read more →

# Simulación Estadística

## by Rubén Fernández Casal (ruben.fcasal@udc.es), Ricardo Cao (rcao@udc.es)

Apuntes de la asignatura de Simulación Estadística del Máster en Técnicas Estadísticas. […] Este libro contiene los apuntes de la asignatura de Simulación Estadística del Máster en Técnicas Estadísticas. Este libro ha sido escrito en R-Markdown empleando el paquete bookdown y está disponible en el repositorio Github: rubenfcasal/simbook. Se puede acceder a la versión en línea a través del siguiente enlace: https://rubenfcasal.github.io/simbook/index.html. donde puede descargarse en formato pdf. Para instalar los paquetes necesarios para poder ejecutar los ejemplos mostrados en el libro se … Read more →

# ProteoMill

## by Martin Rydén, Lund University, martin.ryden[at]med.lu.se

Documentation and guidelines for using the ProteoMill platform. […] The analysis of protein enrichment and knowledge of protein-protein interactions have become essential tools in many proteomics studies. We developed ProteoMill, an analysis platform with the purpose to enable researchers to quickly gain insights about the molecular events in their data. ProteoMill is unique in that it is a free, open-source, always up-to-date and easily accessible web tool that renders a complete pipeline from data upload to differential expression-, enrichment- and network analysis. A common requirement … Read more →

# Comprehensive Exam Study Guide

## by Author: Emma Strand; Ph.D. Student at the University of Rhode Island

Welcome to my study guide that I used to prepare for my comprehensive exams. This is a general work in progress but it helped me compile all of the resources I needed for this exam set. […] Welcome to my study guide that I used to prepare for my comprehensive exams. This is a compilation of resources that I used while studying for my comprehensive exams. Each tab and chapter in this R-book are organized by the committee member this was used for. Disclaimer: Some pages of notes are more comprehensive and descriptive than others. This study guide is meant to be a foundation to bounce off of … Read more →

# Analyses statistiques avec R

## by Evrard Louis - l.evrard@student.uclouvain.be - LSBA - UCLouvain, Govaerts Bernadette - bernadette.govaerts@uclouvain.be - LSBA - ISBA - UCLouvain

Analyses statistiques avec R […] Durant votre cursus du cours LBIRA2110, nous vous offrons la chance de vous former au logiciel et langage de programmation R. R c’est LE logiciel libre référence dans le domaine de l’analyse statistique de données. Programmer en R nécessite R-Studio qui est une interface utilisateur facilitant l’utilisation du langage R. L’installation de R et R-studio n’est pas très compliquée mais requiert de suivre à la lettre plusieurs étapes. Le lien suivant vous mènera vers un support où l’installation est détaillée: ~> Installation détaillée de R et R-Studio En … Read more →

# Data Integration, Manipulation and Visualization of Phylogenetic Trees

## by Guangchuang Yu

“Data Integration, Manipulation and Visualization of Phylogenetic Trees” was written by Guangchuang Yu. It was last built on 2021-05-14. This book was built by the bookdown R … Read more →

# Miller Creek and Vogel Lake Water Quality

## by Benjamin Meyer (ben@kenaiwatershed.org)

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] This draft document contains preliminary data explorations of 2021-2023 water quality data from the Vogel Lakes complex and Miller Creek in the Northern Kenai peninsula. These data are being collected as part of potential plans to eradicate invasive pike from the area, which were identified in 2018-2019 by the Alaska Dept. of Fish and Game. The draft environmental assessment for potential eradication of invasive Northern Pike from this system is available … Read more →

# Meta-analysis of Ecological Data in R

## by Rob Crystal-Ornelas, PhD

A book about how to use R for the meta-analysis of ecological data […] We created this book as a guide to conducting meta-analysis using ecological data in R. Ecologists are increasingly turning to evidence synthesis (i.e., systematic review and meta-analysis) as a way of describing and summarizing the published evidence base within sub-disciplines. There are helpful books that provide the theory behind meta-research in ecology (Koricheva, Gurevitch, and Mengersen 2013). There are also more technical guides that provide the R code for conducting meta-analyses, but these are typically built … Read more →

# Skript zur Vorlesung Staatsrecht II – Grundrechte

## by Florian Meinel florian.meinel@jura.uni-goettingen.de

Skript zur Vorlesung Grundrechte im Sommer 2021 […] Dieses Skript wird laufend aktualisiert und fortgeschrieben. Sie können es online lesen, aber auch als pdf oder für einen epub-Reader herunterladen. Dazu klicken Sie oben auf das … Read more →

# Stat 202 Notes: Spring 2021

## by Laurie Tupper

Lecture and reading notes for Stat 202 […] These notes are divided into three sections: This document isn’t designed to be read through in order – hence all the hyperlinks. Use the sidebar to navigate to what you need (you can also bookmark specific locations in your browser), and feel free to ask on Twist if you can’t find something. Happy … Read more →

# STAT160 R/RStudio Companion

## by Statistics/Data Science at St. John Fisher College

Companion document to Introduction to Statistical Investigations using R/RStudio. […] This companion is for use in STAT160 (Introduction to Data Science). The textbook for the course is Introduction to Statistical Investigations (Tintle et. al). Through in-class and home work assignments, students will learn to use R and RStudio. In this companion, we will review the commands and functions students will need to perform statistical analysis and generate statistical … Read more →

# Moindres Carrés Ordinaires et alternatives

## by BOUSSENGUI François - SABAYE Fried-Junior - BARRE Nicolas

Moindres Carrés Ordinaires et alternatives […] La méthode des moindres carrés ordinaires (MCO) consiste à minimiser la somme des carrés des écarts, écarts pondérés dans le cas multidimensionnel, entre chaque point du nuage de régression et son projeté, parallèlement à l’axe des ordonnées, sur la droite de régression. Il s’agit d’ajuster un nuage de points ({Y_i, Xi}_{i=1,…,n}) selon une relation linéaire, prenant la forme de la relation matricielle (Y=X\beta+\epsilon), où (\epsilon) est un terme d’erreur. Parmi les différentes méthodes de régression existantes cette dernière est … Read more →

# Techincal Analysis with R (second edition)

## by Ko Chiu Yu

This is an introductory textbook that focuses on how to use R to do technical analysis. […] Since the first edition has been published in 2018, I have received numerous comments on how to improve the book. The second edition attempts to accommodate these suggestions as much as possible. The book is completely rewritten and reorganized. In particular, the core part of trading rule is now divided into three chapters: day-trading rule, non-day trading rule, and complex trading rule. Day-trading rule requires only basic knowledge of conditional if statements and for loops. Non-day trading … Read more →

# Elegant Bookdown Template

## by 黄湘云 & 叶 飞

最初看到 elegantbook 做的书籍样式很漂亮，就想把它引入到 bookdown 中，遂定制了此模版。在此基础上，做了迁移和扩展的工作，融合了 LaTeX (精美)、Pandoc (简洁) 和 R (强大) 的特性。This is a bookdown template based on ElegantBook. The output format for this template is bookdown::gitbook and bookdown::pdf_book. […] A Markdown-formatted document should be publishable as-is, as plain text, without looking like it’s been marked up with tags or formatting instructions. — John Gruber 这是一份 R Markodwn 文档。 Markdown … Read more →

# R Coding for Data Science - 2020/21

## by Michela Cameletti

Notes for the R labs of the R4CDS course @ Unibg […] You are reading the lecture notes of the R lectures for the Coding for Data Science (C4DS) course at University of Bergamo (academic year 2020/21). R is a great programming language especially designed for statistical analysis and data visualisation. The C4DS R lectures are designed for students who already have a programming background thanks to the first part of the C4DS course dedicated to Python. In the 5 lectures dedicated to R I will present you the basics of R for data manipulation, analysis and plotting. Enjoy the journey! In the … Read more →

# 实验品一号

## by 牧羽尘

狮心阁 […] … Read more →

# Summer RA Conclusion

## by Yuyang Shi, Yokia Xu

Summer RA Conclusion […] 本文件为2020年夏季学期胡悦老师RA项目中的方法总结，主要包括： 使用.Rmd撰写论文 Git Zotero与Rmd bookdown基本使用方法 如何快速阅读论文 提醒：由于各种原因，请尽可能保证在使用R时，各种文件路径中仅含有英文字母、_和-（例如R可能无法读取路径名中带有中文的文件） … Read more →

# Landscape Genetic Data Analysis with R

## by Editor: Helene Wagner (University of Toronto)

This is a web-interface to the teaching materials for the lab course ‘Landscape Genetic Data Analysis with R’ associated with the distributed graduate course ‘DGS Landscape Genetics.’ The output format is bookdown::gitbook. […] This is a web-interface to the teaching materials for the lab course ‘Landscape Genetic Data Analysis with R’ associated with the distributed graduate course ‘DGS Landscape Genetics’. The Landscape Genetics Distributed Graduate Seminar (DGS) is an international collaboration that provides a unique opportunity for interdisciplinary graduate training. The course draws … Read more →

# Entrenamiento en productos de datos: R Markdown

## by Samuel Calderon, Sandra Cerna, Antenor Escudero, Christian Reyes

Este libro es una compilación de reportes individuales trabajados durante el verano 2021 en el Taller de Elaboración de productos de datos dictado por Samuel Calderon. […] Durante el verano de 2021 tuve la oportunidad de reunirme dos veces por semana con un grupo de personas interesadas en aprender a elaborar productos de datos. La única condición impuesta para formar parte de este grupo fue tener mucha paciencia y disposición a cometer muchos errores en el camino. En resumen, pienso que las personas que lograron participar en las sesiones y elaborar su proyecto final, compilado en este … Read more →

# Doing Bayesian Data Analysis in brms and the tidyverse

## by A Solomon Kurz

This project is an attempt to re-express the code in Kruschke’s (2015) textbook. His models are re-fit in brms, plots are redone with ggplot2, and the general data wrangling code predominantly follows the tidyverse style. […] Kruschke began his text with “This book explains how to actually do Bayesian data analysis, by real people (like you), for realistic data (like yours).” In the same way, this project is designed to help those real people do Bayesian data analysis. My contribution is converting Kruschke’s JAGS and Stan code for use in Bürkner’s brms package (Bürkner, 2017, 2018, 2020b), … Read more →

# Diversity, Equity, and Inclusion in Teaching

## by A guide produced by the UNC Psychology & Neuroscience DEI Education Subcommittee

This is a guide developed by the UNC Psychology & Neuroscience DEI Education subcommittee. It was designed to help undergraduate instructors incorporate topics related to DEI into the courses. […] Thank you for reading our guide to embracing diversity, equity and inclusion in your undergraduate psychology teaching at UNC. We have modeled this guide after a cookbook. Cookbooks begin with a general tips section that apply to all the different recipes in the book. Cookbooks are then divided into sections (e.g., poultry, fish, meat, entrees, dessert) each with their own set of recipes. … Read more →

# Data Analytics Coding Fundamentals

## by Martin Monkman

Draft This book is based on the lessons for BIDA302, “Data Analytics Coding Fundamentals,” offered at the University of Victoria’s Continuing Studies Department. From UVic Continuing Studies website This course will explore the fundamentals of coding and scripting for Data Analytics. You will develop the ability to script and code for basic tasks in Data Analytics in common data analytic tools such as R, Python, and Excel. This will allow you to import and export data appropriately and perform fundamental data manipulations and to automate basic analysis elements. Note that the emphasis of … Read more →

# Franchise Hockey Manager 6 Saves in R

## by Canadice

Franchise Hockey Manager 6 Saves in R […] This tutorial hopes to teach you how to use R to parse and aggregate multiple saves from Franchise Hockey Manager 6, for instance when running multiple tests on the same season of Simulation Hockey League. Two things are needed from FHM for this tutorial to work. A tldr is found in chapter 4. This chapter only contains all the code that you need to … Read more →

# NSW Dairy Industry

## by juan_gargiulo

NSW Dairy Industry … Read more →

# Communication Theories

## by Mike Nguyen

Handbook on Communication Theories for both interpersonal and interorganizational communications. […] This book is based on the two communications seminars Communication is defined as the exchange of … Read more →

# Research Methods

## by Robert Goedegebuure

This module is of MBA programs. The module carries 4 ECTS credits. […] Here’s the syllabus of this … Read more →

# Scientific Research Methods

## by Peter K. Dunn

An introduction to quantitative research in science, engineering and health (including research design, hypothesis testing and confidence intervals in common situations) […] This book is an introduction to quantitative research in the scientific and health disciplines. The whole research process is introduced, from asking a research question to analysis and reporting of the data. The focus, however, is on the analysis of data. This book was originally prepared for use with the course SCI110 Science Research Methods1 at the University of the Sunshine Coast (USC). This name is grammatically … Read more →

# Remote sensing algorithms to retrieve SPM and CDOM in Québec coastal waters

## by Raphaël Mabit

This book is the web version of “Remote sensing algorithms to retrieve SPM and CDOM in Québec coastal waters”. It intend to be a comprehensive go-through on the analysis performed during this research. Any software (code) include in this book is licensed under the term of GNU (I have to precise which one …) and can be copied, reused, modified, and distributed under the term of the same license. However, the data analyzed here was acquired at a great cost of human and funding effort and his at least in some part the propriety of the Aquatel lab of UQAR. All the data presents here and in the … Read more →

# Marketing Research

## by Mike Nguyen

Placeholder for interesting knowledge in marketing […] No prerequisites required to read this … Read more →

# Editable Distributed Hydrological Model

## by Kan Lei

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] This document is the use guide for EDHM and some other concept about the hydrological models (HM) building. In Chapter 1 explain the basic concept of hydrological cycle and the important concept and idea of EDHM. In chapter 2 show the workflow of using a hydrological model with EDHM and the way to explain a new model. Chapter 3 and 4 show the basic information, e.g. input data, parameters and output data of every module or model. EDHM is a R package for … Read more →

# R Markdown 指南

## by 王祎帆, 闫求识, 高春辉

R Markdown 指南 … Read more →

# Notes for Predictive Modeling

## by Eduardo García Portugués

Notes for Predictive Modeling. MSc in Big Data Analytics. Carlos III University of Madrid. [...] Welcome to the notes for Predictive Modeling for the academic year 2020/2021. The course is part of the MSc in Big Data Analytics from Carlos III University of Madrid. The course is designed to have, roughly, one session per main topic in the syllabus. The schedule is tight due to time constraints, which will inevitably make the treatment of certain methods somehow superficial. Nevertheless, the course will hopefully give you a respectable panoramic view of different available statistical ... Read more →

# Market Segmentation & Clustering

## by Robert Goedegebuure

This module is part of the Minor Data Driven Decision Making in Business (3DMiB, for short). The module carries 2.5 credits (ECTS) […] This module makes use of R. To replicate, understand and adapt the code used in this module, download R and RStudio. In this module, you will use several R packages. You have to install these packages on your computer, using install.packages(“packagename”). You only have to install packages once on your computer. Only after installing new versions of R, you have to install packages again. For invoking the functions and accessing the data sets embedded in … Read more →

# Statističke metode za ekonomske analize

## by Josip Arnerić ©jarneric@net.efzg.hr

Statističke metode za ekonomske analize […] ANOVA (engl. ANalysis Of VAariance) je metoda kojom se uspoređuju aritmetičke sredine više uzoraka, tj. grupa i donosi se zaključak o postojanju (ili ne) razlika između sredina više populacija (\mu_1), (\mu_2),…, (\mu_k) Na taj se način analizira utjecaj jedne ili više kategorijalnih (nezavisnih) varijabli na jednu numeričku kontinuiranu (zavisnu) varijablu Kategorijalne varijable još nazivamo faktorima pa govorimo o jednofaktorskoj, dvofaktorskoj ili pak višefaktorskoj analizi varijance Broj kategorija nezavisne varijable određuje broj … Read more →

# Data Visualization with PowerBI

## by Mohamed Kassem

This course is intended for educational puposes & preparing Data analysts for Exam DA-100: Analyzing Data with Microsoft Power BI : Creating reports […] This course is intended for educational purposes & preparing Data analysts for Exam DA-100: Analyzing Data with Microsoft Power BI : Creating reports All the needed resources to follow along can be found here https://github.com/Mkassem16/NycTaxiPBI. Creating basic PowerBI reports knowledge is prerequisite for this course. By the end of this course Data Analysts should be able to: + Customize Report pages. + Decide for appropriate … Read more →

# Introduction to R: Exercises

## by Jena University Hospital, Institute of Medical Statistics, Computer and Data Sciences, Julia Palm (julia.palm@med.uni-jena.de)

Accompanying IMSID course […] These assignments accompany the course Introduction to R and should be done at home before each course date. We will link to the respective book section in each of the exercises, so you’ll be able to find instructions on how to solve this kind of exercise quickly. We will discuss solutions in the seminar session, complete code solutions will be published after the … Read more →

# Best Coding Practices for R

## by Vikram Singh Rawat

This book explains the most important things you need to know while you are writing production level R code. […] Know the rules well, so you can break them effectively. — The Dalai Lama … Read more →

# The openair book

## by David C. Carslaw

Analysing air quality data with the openair package […] This document has been a long time coming. The openair project started with funding from the UK Natural Environment Environment Research Council (NERC) over 10 years ago. The main aim was to fill a perceived gap in that there was a lack of a dedicated set of easily accessible, open source tools for analysing air quality data. At that time R was becoming increasingly popular but far, far less than it is today. openair is a product of the time it was started and used the highly capable lattice package for plotting. This was a time before … Read more →

# (Mostly Clinical) Epidemiology with R

## by James Brophy

This is an intermediate epidemiology book that focuses on clinical epidmeiology and its quantification using R. It stems from my belief that the learning of epidmeiologic principles is consolidated through hands on coding examples. […] James (Jay) Brophy is a full professor with a joint appointment in the Departments of Medicine and Epidemiology and Biostatistics at McGill University where he works as a clinical cardiologist at the McGill University Health Center and does research in cardiovascular epidemiology. His research interests are eclectic and include clinical and outcomes research, … Read more →

# Applied Biostats

## by Yaniv Brandvain

Course notes for applied Biostats. […] Key links: Canvas, Detailed schedule in progress, Rough schedule. I begin this writing in early Sept 2020, and am thinking about you, my students for the fall 2021 term. Currently much is uncertain — we are beginning a term in the wake of George Floyd’s murder [among many others], which has resulted in protests, uprisings, rioting and armed confrontation between protesters, armed citizens and police. We are in the midst of an uncertain economy, and a vicious presidential election. Most of us feel isolated as COVID has pushed most of us home, some of us … Read more →

# Curso de R con fines de ciencia reproducible. Nivel Básico

## by Daniel Camilo Aguirre Acevedo. PhD, Magister en Epidemiología. Estadístico informático.

Curso de R con fines de ciencia reproducible. Nivel Básico […] Información del autor: Afiliación institucional: Profesor Titular. Instituto de Investigaciones Médicas, Facultad de Medicina, Universidad de Antioquia, daniel.aguirre@udea.edu.co Google Schoolar cvlac] Este libro está en construcción…paciencia! Este curso está dirigido a profesores y estudiantes de pregrado/posgrado involucrados en procesos de investigación clínica y que cumplan almenos uno de los los prerequisitos descritos a continuación. Conocimientos básicos en estadística. Al menos un curso de Bioestadística I en pregrado … Read more →

# Statistical Thinking: A Simulation Approach to Modeling Uncertainty (UM STAT 216 edition)

Statistical Thinking: A Simulation Approach to Modeling Uncertainty (UM STAT 216 edition) […] This book is a slightly modified version of the work below: Zieffler, A., & Catalysts for Change. (2019). Statistical Thinking: A simulation approach to uncertainty (4.2th ed.). Minneapolis, MN: Catalyst Press. http://zief0002.github.io/statistical-thinking/ This work is licensed under a Creative Commons Attribution 4.0 International License. You are free to share, remix, and make commercial use of the work under the condition that you provide proper attribution. To reference this work, use: The … Read more →

# Time Series and Forecasting: A Project-based Approach with R

## by Arthur Small

Class notes for University of Virginia SYS 5581, Spring 2021 […] This document is a compilation of class notes for SYS 5581 Time Series and Forecasting, University of Virginia, Spring, … Read more →

# Primer on Mathematical Statistics

## by Peter K. Dunn

A primer of mathematical statistics, before reading generalized linear models […] This book is a primer on basic mathematical statistics and matrices. This book was originally prepared for students about to undertake MTH301 Reading in Advanced Mathematics at USC, and reading Generalized Linear Models with Examples in R (by Dunn & … Read more →

# Simulation and Modelling to Understand Change

## by Manuele Leonelli

These are lecture notes for the module Simulation and Modelling to Understand Change given in the School of Human Sciences and Technology at IE University, Madrid, Spain. The module is given in the 2nd semester of the 1st year of the bachelor in Data and Business Analytics. Knowledge of basic elements of R programming as well as probability and statistics is assumed. […] These are lecture notes for the module Simulation and Modelling to Understand Change given in the School of Human Sciences and Technology at IE University, Madrid, Spain. The module is given in the 2nd semester of the 1st … Read more →

# Machine Learning Techniques

## by J.H. van der Zwan

Introductory text to a couple of commonly used Machine Learning techniques and how they are performed in R […] This book is intended to be a reference for frequently used Machine Learning techniques and how they can be performed in R. Writing this work started in summer 2020 and new chapters are and will be added over time. It is written with a view to students pursuing a Machine Learning course in a pre-graduate or graduate program. It is not intended to be an exhaustive textbook on all possible Machine Learning … Read more →

# Basic R Commands

## by Lecturer: Fábio M. Corrêa **Email: f.correa@ru.ac.za

Basic R Commands […] 19-04-2021 The text is under development and updates are … Read more →

# JavaScript for R

## by John Coene

Invite JavaScript into your Data Science workflow. […] This is the online version of JavaScript for R, a book currently under development and intended for release as part of the R series by CRC Press. The R programming language has seen the integration of many languages; C, C++, Python, to name a few, can be seamlessly embedded into R so one can conveniently call code written in other languages from the R console. Little known to many, R works just as well with JavaScript—this book delves into the various ways both languages can work together. The ultimate aim of this work is to demonstrate … Read more →

# ॥ दिल की गिरह खोल दो ॥

## by ॥ विक्रम सिँह रावत ॥

मेरी लिखी एक कविताओं, गज़लों, गीतों, काव्य और कथाओं का संग्रह है। … Read more →

# Responsible applied statistics in R for behavioral and health data (working title)

## by Anshul Kumar

This e-book accompanies the course HE-902 in the PhD in HPEd program at MGHIHP (http://mghihp.edu/phdhped). HE-902 is a statistics course that equips students to analyze healthcare and/or behavioral data in R. […] This e-book accompanies the course HE-902 in the PhD in HPEd program at MGH Institute of Health Professions. HE-902 is a statistics course that equips students to analyze healthcare and/or behavioral data in R. This online e-book is the main resource to guide you through the course HE-902 in the Spring 2021 semester. The purpose of this e-book is to prepare users to responsibly … Read more →

# Data Analytics: A Small Data Approach

## by Shuai Huang & Houtao Deng

This book is suitable for an introductory course of data analytics to help students understand some main statistical learning models, such as linear regression, logistic regression, tree models and random forests, ensemble learning, sparse learning, principal component analysis, kernel methods including the support vector machine and kernel regression, etc. Data science practice is a process that should be told as a story, rather than a one-time implementation of one single model. This process is a main focus of this book, with many course materials about exploratory data analysis, residual analysis, and flowcharts to develop and validate models and data pipelines. Read more →

# How does R fit a linear model?

## by Matthew Whalen

What happens when you run lm(y ~ x1 + x2) […] This book is the product of my goal to answer the question ‘How does R fit a linear model using the lm function?’ A seemingly simple question based on one of the most humble formulas in all of statistics led me down a rabbit hole of math and programming I never expected. The goal of writing this is for my own etification, but also to provide a thorough walkthrough so that R-users at all levels of math and programming can have a better grasp on one of the most ubiquitous tools in a statisticians toolbelt. The book wil be structured largely … Read more →

# STA 444/5 - Introductory Data Science using R

## by Derek L. Sonderegger

STA 444/5 - Introductory Data Science using R […] This book is intended to provide students with a resource for learning R while using it during an introductory statistics course. The Introduction section covers common issues that students in a typical statistics course will encounter and provides a simple examples and does not attempt to be exhaustive. The Deeper Details section addresses issues that commonly arise in many data wrangling situations and is intended to give students a deep enough understanding of R that they will be able to use it as their primary computing resource … Read more →

# Data Science with R: A Resource Compendium

## by Martin Monkman

A modest and very incomplete listing of resources for tackling data science problems in R. […] Draft This book grew out of my evergrowing collection of reference materials that was saved as an expanding array of markdown files in a github repo. By assembling it as a book, I hope that it will be more accessible and useful to other R users. The author would like to acknowledge everyone who has contributed to the books, articles, blog posts, and R packages cited within. License This work by Martin Monkman is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Canada … Read more →

# Work Portfolio

## by Christine Griffith

This is Christine Griffith’s work potfolio for an Organizational Strategist position at Korn Ferry. The output format for this example is bookdown::gitbook. […] This portfolio represents my work and achievements throughout my college career in the Industrial/Organizational Psychology Graduate Program at Montclair State University. As a highly driven and dynamic Organizational Strategist Professional, I am eager to apply a strong passion for empowering organizations to grow, unlock their potential, and enhance performance to improve the bottom line of Korn Ferry. My portfolio includes the … Read more →

# MGHIHP HE-802, Spring 2021

## by Anshul Kumar

This e-book accompanies the course HE-802 in the MS in HPEd program at MGHIHP (http://mghihp.edu/mshped). HE-802 is a statistics course that equips students to analyze healthcare and/or behavioral data in R. […] This online e-book is the main resource to guide you through the course HE-802 in the MS in HPEd program at MGHIHP in the Spring 2021 semester. Each chapter contains reading (or links to reading) that you should do as well as an assignment that you should complete and submit by the deadline in the course calendar. My name is Anshul Kumar and I am the author/preparer of this e-book. … Read more →

# Introduction to Korean Literature

## by Wayne de Fremery

This book contains the texts to be annotated fo the course Introduction to Korean Literature at Sogang University, 2021. […] The texts on this website are formatted in HTML and they will adapt to your screen size. So, you can easily read them on a desktop computer, tablet, or mobile phone. Use the menu icon on the left to access the table of contents and the < icon on the right to open the annotation sidebar. In order to annotate the texts with Hypothesis, you need to sign up at this link: https://hypothes.is/signup Once you have signed up and confirmed your email, log in using the sidebar … Read more →

# R Markdown: The Definitive Guide

## by Yihui Xie, J. J. Allaire, Garrett Grolemund

The first official book authored by the core R Markdown developers that provides a comprehensive and accurate reference to the R Markdown ecosystem. With R Markdown, you can easily create reproducible data analysis reports, presentations, dashboards, interactive applications, books, dissertations, websites, and journal articles, while enjoying the simplicity of Markdown and the great power of R and other languages. Read more →

# Github actions with R

## by Chris Brown, Murray Cadzow, Paula A Martinez, Rhydwyn McGuire, David Neuzerling, David Wilkinson, Saras Windecker

An introduction to using github actions with R. […] GitHub actions allow us to trigger automated steps after we launch GitHub interactions such as when we push, pull, submit a pull request, or write an issue. For example, there are actions that will automatically trigger: GitHub actions follow the steps designated in a yaml file, which we place in the .github/workflows folder of the repo. We can add these yaml files to our repo either by clicking on a series of steps on GitHub.com, or using wrapper functions provided by the usethis package, depending on which actions you wish to include. We … Read more →

# Using R for Educational Research

## by Jerry Bean, College of Education and Human Ecology, The Ohio State University

This is an example of using the bookdown package to write a book […] Our goal for this document is to illustrate the importance of good data analysis practices and how R and companion packages support these practices. We think the R system has many benefits for educational research. R has become the flagship computing environment for many areas of science and has great appeal because it is free and open-access. In addition, free tools like RStudio and R Markdown promote a replication commitment and open science philosophy important to our work. One particular strength of R is that it … Read more →

# Building Pension Models and Actuarial Tools Using R and R Shiny

## by Tommy Cornally

Building Pension Models and Actuarial Tools Using R and R Shiny […] This interactive report has been created to demonstrate the functionality of R Markdown and Bookdown, as an additional tool that actuaries and others can avail of. Each page of the application (with the exception of the combined SORP Calculator and Drawdown Simulation) has been rebuilt using miniUI [1], an R library used to create Shiny Widgets. However, these “mini-apps” do not fully replicate the main application. Similarly, this interactive report does not intend to replace the original - it merely serves to compliment … Read more →

# Applied longitudinal data analysis in brms and the tidyverse

## by A Solomon Kurz

This project is a reworking of Singer and Willett’s classic (2003) text within a contemporary Bayesian framework with emphasis of the brms and tidyverse packages within the R computational framework. […] This project is based on Singer and Willett’s classic (2003) text, Applied longitudinal data analysis: Modeling change and event occurrence. You can download the data used in the text at http://www.bristol.ac.uk/cmm/learning/support/singer-willett.html and find a wealth of ideas on how to fit the models in the text at https://stats.idre.ucla.edu/other/examples/alda/. My contributions show … Read more →

# Data Science and Econometrics for NBA Analytics

## by KP

Data Science and Econometrics for NBA Analytics […] The 1960s was a period of time where oil became the most valuable and productivity augmenting resource for companies to extract, prompting companies to engage in a race to extract as much oil as possible without any regard for the environmental and social consequences. However, recent times has seen data replace oil as the most valuable resource, even for sports organizations. Analytics have a major place in today’s sports world. At some level, every sports organization relies on data and analytics for team development, salary structure, … Read more →

# Introductory Statistics for Economics

## by Brian Krauth

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] This book has been written for use as a textbook for ECON 233, the introductory statistics course for economics majors at Simon Fraser University. The current version of the book can be obtained at https://bookdown.org/bkrauth/BOOK/. The book itself is written using Bookdown, and its source code is available at https://github.com/bvkrauth/econ233. Brian Krauth is Associate Professor of Economics at Simon Fraser … Read more →

# Curso R base

## by Iosu Paradinas

Vamos a ver que aprendemos! […] R es un lenguaje de programación y un entorno para el análisis estadístico y gráfico. Es multiplataforma: está disponible para Windows, Macintosh y GNU/Linux. R fue inicialmente creado por R. Ihaka y R.Gentleman de la Universidad de Auckland en 1993, pero actualmente, el entorno R es el resultado de la colaboración de toda una comunidad de usuarios. A partir de 1997 el desarrollo del código fuente (o base-R) de R es llevado por un grupo de programadores conocido como “The R-core team”. La página web oficial de R se llama: The R Project for Statistical … Read more →

# Economic Impact Report

## by Commercial Fishermen of Santa Barbara

2020 Economic Impact Report for Commercial Fishing Activity of Santa Barbara Harbor. […] INCOMPLETE SECTION For more information, visit: https://www.cfsb.info/. … Read more →

# Uma introdução gentil à Ciência de Dados

## by Janaina Souza, Júlia Bijos, Kaike Reis

E-book em desenvolvimento. […] Provavelmente você deve estar pensando que não faz ideia do que seja Ciência de Dados, já que nunca teve contato com esta área da ciência. Mas, será mesmo? Ao longo deste capítulo vamos entender o que é a Ciência de Dados e refletir como ela está inserida no nosso dia a dia. A Ciência de Dados pode ser definida como o campo do conhecimento que busca transformar dados em informações. Mas, o que isto significa? Observe a Figura 1.1 que trata algumas situações vivenciadas na nossa cidade ou comunidade, que precisam ser adaptadas para melhorar o bem estar dos … Read more →

# Policy Learning I - Binary treatment

## by Golub Capital Social Impact Lab

A short tutorial for machine-learning based causal inference. […] This tutorial will walk you through common statistical tools used in the lab. If you’re self-studying, here’s a minimal recommended study plan for newcomers: If you are working on a particular project, you can jump into a relevant section. Any pre-requisites are listed at the beginning of each … Read more →

# Chronicles of Grandma’s Closet

## by Jessica Mann

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] To render the book used the following code, you must do this before knitting the GitBook (webpage) The _output.yml contains the header arguments. I would but them here so its cleaner and easier to read the code. These resources are not relevant for students but they are to … Read more →

# Geospatial Data Science With R: Applications in Environmental Geography

## by Michael C. Wimberly

This book includes the course materials for GIS 4453/5543, taught in the Department of Geography and Environmental Sustainability at the University of Oklahoma. […] We are living in a time of unprecedented environmental change, driven by the effects of fossil fuels on the Earth’s climate and the expanding footprint of human land use. To mitigate and adapt to these changes, there is a need to understand their myriad impacts on human and natural systems. Achieving this goal requires geospaital data on a wide variety of environmental factors, including climate, vegetation, biodiversity, soils, … Read more →

# Base de Datos

## by Patricio Araneda

Base de Datos: El camino de los datos a la información […] Este libro es el primero de una serie sobre datos e información y que pretende abarcar todos los aspectos del manejo de datos, desde una base local hasta Big Data pasando por aspectos de analítica de datos y ciencia de datos. Componentes de la serie: Estamos viviendo en una civilización basada en información, donde esta se transa y valora, donde todo objeto/persona es fuente de información que se utiliza con distintos fines. El valor de la información esta basado en la calidad y eficiencia de los datos que la conforman. La … Read more →

# Diversidade em sala de aula: por uma educação antirracista

## by Ana Carolina Costa dos Santos, Daniele dos Santos Lima, Talita Nunes Costa

E-book em desenvolvimento. … Read more →

# TRABAJO DE CALIDAD DE AGUA RIMAC

## by Yihui Xie

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] UNIVERSIDAD NACIONAL AGRARIA LA MOLINA PROFESOR: JESUS SALINAS INTEGRANTES LUIS EDGAR GUTIERREZ SALDANA CHRISTIAN CRUZATE JENNY … Read more →

# Data Analysis in R

## by Steve Midway

This is a text that covers the principles and practices of handling and analyzing data. … Read more →

# Eagle I.O Website Playground

## by kulasj

This is a sandbox template to play with Eagle I.O website development ideas, forked from Matt Crump’s Research Lab. We are a student-led consulting group within the Industrial/Organizational Psychology program at Montclair State University, founded in 2019. We look at ourselves as hard-working, driven students who wish to strengthen MSU’s I/O Psych program, as well as learn outside of the classroom to build upon our skills and knowledge. We pride ourselves on strong involvement in local and national I/O groups, namely METRO and SIOP. For more information about the roles and responsibilities … Read more →

# Inquiry and Analysis in Biology

## by Jeff Wesner, Ph.D., University of South Dakota, Department of Biology, Joseph Raiche, Ph.D., University of South Dakota, Department of English

Erich Von Wolf, as the legend goes, was a German Chemist and researcher in the latter half of the 19th century who in 1870 “published” his findings on the iron content of several items including milk, beef, asparagus, and what has garnered far too much attention, spinach. The legend goes that when recording the iron content of spinach, he inadvertently moved the decimal point one space to the right. This caused a ten-fold increase in the reported iron content of the leafy green. The error was left unchallenged until 1936. Seven years earlier the New York’s Evening Journal’s long running comic … Read more →

# Introduction to Statistics with R

## by content

Introduction to Statistics with R […] Let’s start with a simple question: In the US, are adult men taller, on average, than women? We know the answer to this question already (yes), but attempting to answer it with data will allow us to illustrate many important concepts of statistics. The first step is to collect some … Read more →

# R for marketing students

## by KU Leuven Marketing department

KULeuven R tutorial for marketing students […] In this tutorial, we will explore R as a tool to analyse and visualise data. R is a statistical programming language that has rapidly gained popularity in many scientific fields. The main difference between R and other statistical software like SPSS is that R has no graphical user interface. There are no buttons to click. R is run entirely by typing commands into a text interface. This may seem daunting, but hopefully by the end of this tutorial you will see how R can help you to do better statistical analysis. So why are we using R and not one … Read more →

# edav.info/

## by Zach Bogart, Joyce Robbins

This resource is a collaborative collection of resources designed to help students succeed in GR5702 Exploratory Data Analysis and Visualization, a course offered at Columbia University. While the course lectures and textbook focus on theoretical issues, this resource, in contrast, provides coding tips and examples to assist students as they create their own analyses and visualizations. It is our hope that students will contribute to edav.info and it will grow with the course. Read more →

# University of Utah

## by Naomi J. Goodrich-Hunsaker, Ph.D.

University of Utah […] This manual contains a general descriptions of all neuroimaging pipelines currently being used to analyze MRI scans. If additional information or further clarification is needed, email me at naomi.hunsaker@utah.edu. … Read more →

# Financial Engineering and TensorFlow

## by Joocheol Kim

Financial Engineering and TensorFlow […] 금융공학, 인공지능. 두가지 모두 매력적인 말입니다. 이 두가지를 모두 배울 수 있을까요? 그것이 바로 이 강의가 추구하는 바입니다. 금융공학과 인공지능의 기초뿐만이 아니라, 수준 있는 내용까지 모두 배우고 이를 세상에 활용해 볼 수 있을 정도까지의 준비를 하는 것입니다. 이 강의는 아직도 개발 중입니다. 계속해서 새로운 내용을 추가하도록 … Read more →

# The Book of Behavior Change

## by Rik Crutzen & Gjalt-Jorn Ygram Peters

The Book of Behavior Change is an Open Access guide to effective behavior change interventions. […] The Book of Behavior Change is an Open Access book that helps with the development of effective behavior change interventions as well as doing research into behavior change. Unlike for example Intervention Mapping, this book does not provide a complete protocol, instead focusing on identifying what to target, and how to target it, to maximize intervention effectiveness. Please be aware that this is a “living” book. This means that it will be updated over time and certain parts might be … Read more →

# Calculus and Applications - Part II

## by Vahid Shahrezaei

Lecture notes for Calculus and Applications produced in bookdown […] These are lecture notes for the second part of Calculus and Applications first year module at the Department of Mathematics, Imperial College London. The notes are split into three parts on Fourier Transform, Ordinary Differential Equations and Introduction to Multivariate Calculus. Please refer to course Blackboard for additional materials recommended text books for further reading. These lecture notes are adobted from existing courses in our department. Part I of the course is based on the old M2AA2 course (Andrew … Read more →

# Exercise

## by Taeyeon Chung

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] Exercise 3-1 Exercise 3-2 … Read more →

# The Data Files

## by Peter K. Dunn and Margaret Marshman

Supporting information for The Data Files. […] These web pages are designed to help teachers with teaching statistics in schools. These pages are based on a series of short articles (called The Data Files) published in the Australian Mathematics Education Journal, by Dr Peter K. Dunn and Dr Margaret … Read more →

# Stat 356 Notes: Spring 2021

## by Laurie Tupper

Lecture and reading notes for Stat 356 […] These notes are divided into three sections: This document isn’t designed to be read through in order – hence all the hyperlinks. Use the sidebar to navigate to what you need (you can also bookmark specific locations in your browser), and feel free to ask on Twist if you can’t find something. Happy … Read more →

# DEMOVATE

Hvordan kan demokratiet fornyes slik at flest mulig støtter opp om det? Nye og alternative former for involvering og medvirkning er i dag viktige tema i den internasjonale diskusjonen om demokratiets tilstand. DEMOVATE-prosjektet prøver ut medvirkning i praksis ved å invitere et tilfeldig utvalg innbyggere i Bergen til å diskutere og gi råd til politikerne i bestemte saker i det såkalte “Byborgerpanelet”. I samarbeid med internasjonalt ledende forskere blant annet fra Stanford University studerer vi demokratisk innovasjon og dens effekt på demokratisk legitimitet i norske kommuner. Sentrale … Read more →

# STAB Tutorials

## by UW STAB Working Group

Tutorials for the UW STAB working group […] This site is currently in development. It will eventually contain tutorials related to the STAB working group at the University of Washington. This site was built using … Read more →

# Responsabilidade Social no Exercício da Engenharia

## by Vinicius Moreira

Síntese e análise dos assuntos abordados no contexto da Disciplina Responsabilidade Social no Exercício da Engenharia. A idéia desse portfólio é levantar dados que se referem direta ou indiretamente aos conteúdos mencionados durante a disciplina e mais importante, espacializá-los na área de Minas Gerais. A maior parte dos dados foram retirados do portal IDE SISEMA¹ de Minas Gerais ¹SISEMA. Infraestrutura de Dados Espaciais do Sistema Estadual de Meio Ambiente e Recursos Hídricos. Belo Horizonte: IDE-Sisema, 2019. Disponível em: idesisema.meioambiente.mg.gov.br. Acesso em: … Read more →

# Statistik Vorlesung

## by Lisa Lechner

Dies sind Begleitnotizten für die Vorlesung Statistik. […] “Statistics is the grammar of science” (Karl Pearson) Ziel der Vorlesung Statistik ist, die Einführung in die zentralen Grundlagen und Begriffe der deskriptiven (Datenmatrix, Häufigkeitsverteilungen, Lagemaße, Streuungsmaße, Verteilungskenngrößen, Zusammenhang zwischen Variablen) und der induktiven Statistik zu geben. Gegenstand der induktiven Statistik ist es, durch geeignete Verfahren von der Stichprobe auf die Grundgesamtheit zu schließen und die Sicherheit der Schlussfolgerung abzuschätzen, d.h. Wahrscheinlichkeiten für die … Read more →

# GESC-258 Schedule

## by Colin Robertson

Schedule, readings, and labs for GESC 258, Winter 2021. […] This is will provide week-to-week scheduling of course activities in … Read more →

# Coding Guide

## by yifan_wang

Coding Guide […] dplyr is a grammar of data manipulation, providing a consistent set of verbs that help you solve the most common data manipulation challenges. Tools for the analysis of epidemiological and surveillance data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, computation of confidence intervals around incidence risk and incidence rate estimates and sample size calculations for cross-sectional, case-control and … Read more →

# Contributing to GNU R

## by Lionel Henry

How to contribute to GNU R. […] Contributing to a large open source project like GNU R can be intimidating. This document aims to reduce the technical barriers to contributing and will help you get started on building R, modifying it, and checking that you haven’t broken anything. At the moment, Contributing is written from the perspective of macOS users, but should be helpful to users of all platforms. R Internals, the language specification. R Installation and Administration, the official guide on how to install R. R’s internal C API, an unofficial documentation for the internal … Read more →

# Notas de Microeconometría Aplicada

## by Autor: Arturo A. Aguilar Esteva, Colaborador: Vicente López Ramírez

Notas de Microeconometría Aplicada […] Estas notas fueron desarrolladas por el profesor Arturo A. Aguilar Esteva como material didáctico de apoyo para los cursos de Microeconometría Aplicada que imparto a nivel licenciatura y maestría en el Instituto Tecnológico Autónomo de México (ITAM). Todos los errores son responsabilidad mía. Cualquier comentario y observación con respecto a errores se agradecerá que lo dirijan al correo arturo.aguilar@itam.mx. … Read more →

# Efficient R programming

## by Colin Gillespie, Robin Lovelace

Efficient R Programming is about increasing the amount of work you can do with R in a given amount of time. It’s about both computational and programmer efficiency. […] This is the online version of the O’Reilly book: Efficient R programming. Pull requests and general comments are welcome. Get a hard copy from: Amazon (UK), Amazon (USA), O’Reilly Colin Gillespie is Senior Lecturer (Associate Professor) at Newcastle University, UK. He is an Executive Editor of the R Journal, with research interests including high performance statistical computing and Bayesian statistics. Colin founded the … Read more →

# Multilevel Regression and Poststratification Case Studies

## by Juan Lopez-Martin, Justin H. Phillips, and Andrew Gelman

Introduction to Bayesian Multilevel Modeling and Poststratification using rstanarm, brms, and Stan […] The following case studies intend to introduce users to Multilevel regression and poststratification (MRP), providing reusable code and clear explanations. The first chapter presents MRP, a statistical technique that allows to estimate subnational estimates from national surveys while adjusting for nonrepresentativeness. The second chapter extends MRP to overcome the limitation of only using variables included in the census. Lastly, the third chapter provides an example on how to download … Read more →

# Statistical rethinking with brms, ggplot2, and the tidyverse: Second edition

## by A Solomon Kurz

This book is an attempt to re-express the code in the second edition of McElreath’s textbook, ‘Statistical rethinking.’ His models are re-fit in brms, plots are redone with ggplot2, and the general data wrangling code predominantly follows the tidyverse style. […] This ebook is based on the second edition of Richard McElreath’s (2020a) text, Statistical rethinking: A Bayesian course with examples in R and Stan. My contributions show how to fit the models he covered with Paul Bürkner’s brms package (Bürkner, 2017, 2018, 2020), which makes it easy to fit Bayesian regression models in R (R … Read more →

# 너무나도 중요한 소식

## by yiugn@naver.com

너무나도 중요한 소식 … Read more →

# FIN 473. Advanced Investments

## by Adam Aiken

These notes summarize our topic for each week. […] These notes summarize, discuss, and add commentary to the articles and cases that we are discussing during our brief time together this semester. Hopefully, you find them useful What are the current discussions and controversies going on in asset management? What issues will you face if you work at a wealth management firm? How about if you are assisting hedge funds with their Bloomberg or Factset software? Or working with clients at an investment management firm, like Blackrock or Vanguard? Does it matter that Wall Street Bets (WSB) has … Read more →

# University of Exeter: BIO2092

## by David Studholme

This booklet is intended for students of BIO2092 at the University of Exeter […] In this document, you will find some activities to support what you have learned in your reading, audio-visual materials etc. in the BIO2092 course. The aim is to consolidate your understanding of the material through “learning by doing.” Addressing the tasks and questions in this book will help you to read/watch/listen to the course materials in a more active and engaged manner as you search those materials for the answers. During the course, I will work through the solutions to some of these activities during … Read more →

# R for Data Science

## by Shaoshuang Wen, University of South Carolina,

R for Data Science […] If you see any mistakes or have any suggestions, please do shoot me an email at wenshaoshuang@gmail.com. … Read more →

# Physical Geology

## by Karla Panchuk, Steven Earle, and contributors (GitHub/bookdown version maintained by Dewey Dunnington)

“Physical Geology”, adaptaed from Physical Geology: First University of Saskatchewan Edition […] Physical Geology is a comprehensive introductory text on the physical aspects of geology, including rocks and minerals, plate tectonics, earthquakes, volcanoes, mass wasting, climate change, planetary geology and much more. It has a strong emphasis on examples from western Canada. It is adapted from “Physical Geology” written by Steven Earle for the BCcampus Open Textbook Program, and “Physical Geology, First University of Saskatchewan Edition” by Karla Panchuk. The GitHub/bookdown version of … Read more →

# MAT 4880 Mathematical Modeling II

## by Boyan Kostadinov, City Tech

This is a book experiment for MAT 4880 Mathematical Modeling II. […] Example 1.1 We are given population data concerning the growth of a species of yeast in a closed vessel. Use the data given below and the solution (u(t)) to the logistic differential equation to find estimates of the parameters (u_0), (r) and (K). [u(t) = \frac{K}{1+e^{-rt} \left (\frac{K}{u_0}-1 \right )}] where (K) is the carrying capacity of the population, (r) is the growth rate and (u_0) is the initial population size at time (t=0). For more details, please review the lectures where we covered all … Read more →

# The Shape of Polarization: A Topological Data Analysis of Congressional Voting Patterns

## by Aidan Toner-Rodgers

The Shape of Polarization: A Topological Data Analysis of Congressional Voting Patterns […] Polarization is a pervasive feature of modern American politics. But has this always been the case? Understanding trends in polarization has been a topic of intense interest in the social sciences, with researchers taking a variety of approaches. The classic strategy has been to use congressional roll call votes and measure the difference in voting patterns between parties (Theriault, 2008; Ladewig, 2010; Shor, 2018; Moskowitz, 2019). More recent work has used text analysis of congressional speech … Read more →

# STAT 243: Stochastic Process

## by Jizhou Kang

This is my E-version notes of the Stochastic Process class in UCSC by Prof. Rajarshi Guhaniyogi, Winter 2021. […] This is an E-version notes of the Stochastic Process class in UCSC by Prof. Rajarshi Guhaniyogi, Winter 2021, typed by Jizhou … Read more →

# Exploration de données avec R

## by Anouar El Ghouch

Ce document est une introduction à l’utilisation du logiciel libre de traitement de données et d’analyse statistique R. Il est inspiré de plusieurs sources: En anglais: En français: Ce document vise à introduire uniquement les notions de base nécessaire à connaitre pour quelqu’un qui découvre le logiciel pour la première … Read more →

# Forschungsseminar: Text as data

## by Valerie Hase, IKMZ, Universität Zürich

Codes and notes for the text as data seminar at IKMZ, HS 2020/FS201 […] Dieses Tutorial begleitet das Forschungsseminar “Text as Data - Automatisierte Inhaltsanalyse in der Kommunikationswissenschaft” (IKMZ, Universität Zürich, HS2020). Alle nötigen Informationen zum Ablauf des Seminars, Prüfungsleistungen und Aufnahmen der Seminarsitzungen finden Sie auf OLAT. Dieses Tutorial hat zwei zentrale Ziele: Struktur der R-Tutorials Sie finden hier die jeweiligen Tutorials, die Sie bis zur jeweiligen Sitzung im Plenum durcharbeiten. Die Sitzungen selbst werden dann genutzt, um offene Fragen und … Read more →

# Disentangling the contribution of climate,deforestation,and control efforts on malaria epidemiology in the peruvian amazon rainforest

## by Varios

Disentangling the contribution of climate,deforestation,and control efforts on malaria epidemiology in the peruvian amazon rainforest … Read more →

# An Introduction to Bayesian Reasoning and Methods

## by Kevin Ross

This textbook presents an introduction to Bayesian reasoning and methods. The exercises in this book are used to both motivate new topics and to help you practice your understanding of the material. You should attempt the exercises on your own before reading the solutions. To encourage you to do so, the solutions have been hidden. You can reveal the solution by clicking on the Show/hide solution button. Show/hide solution Here is where a solution would be, but be sure to think about the problem on your own first! (Careful: in your browser, the triangle for the Show/hide solution button might … Read more →

# Do A Data Science Project in 10 Days

## by Gangmin Li

This is a data science project practice book. It was initially written for my Big Data course to help students to run a quick data analytical project and to understand 1. the data analytical process, the typical tasks and the methods, techniques and the algorithms need to accomplish these tasks. During convid19, the unicersity has adopted on-line teaching. So the students can not access to the university labs and HPC facilities. Gaining an experience of doing a data science project becomes individual students self-learning in isolation. This book aimed to help them to read through it and follow instructions to complete the sample propject by themslef. However, it is required by many other students who want to know about data analytics, machine learning and particularly practical issues, to gain experience and confidence of doing data analysis. So it is aimed for beginners and have no much knowledge of data Science. the format for this book is bookdown::gitbook. Read more →

# Conceitos e análises estatísticas com R e JASP

## by Luis Anunciação (PUC-Rio), PhD

This book was written for undergraduate level students on Quantitative Methods at the Pontifical Catholic University of Rio de Janeiro (PUC-Rio). The primary goal of this book is to provide a short and to-the-point exposition on the essentials of statistics. To a lesser degree, the mathematical modeling of statistical questions will be addressed. I expect this book can also help students who enroll for laboratory-based statistics and anyone who wants to learn R. Read more →

# Measuring what Matters: Introduction to Rasch Analysis in R

## by Daniel Katz, Anthony Clairmont, Mike Wilton

This book is a guide for getting started using the Rasch model […] This is meant to be a general introduction for using the Rasch model via R for constructing measures. The book is meant to get you started but is by no means where you should stop. Please see, Wilson (2005) and Bond & Fox (2015) for more. The Rasch model is based on a theory of measurement. Whereas one may typically fine-tune a model to fit the data, in the Rasch paradigm, one compares the data to the Rasch model. Under this view, when the data does not fit the Rasch model, it is believed that the data may not be suitable … Read more →

# PrioriTree: Setting up BEAST Discrete-Biogeographic Analyses with Visualized Priors and Assessing Their Impact

## by Jiansi Gao, Michael R. May, Bruce Rannala, Brian R. Moore

PrioriTree is an interactive web application (https://jsigao.shinyapps.io/prioritree/) to help researchers set up BEAST phylodynamic analyses to infer biogeographic history (focussed on prior specification and evaluation). Its development is motivated by properties of the discrete-biogeographic models implemented in BEAST (Lemey et al. 2009; Edwards et al. 2011) and issues with the commonly used default priors in BEAST, identified by Gao et al. (2021) (see the paper for detailed discussions). These biogeographic models contain many parameters that must be inferred from minimal information … Read more →

# 西山 他『計量経済学』のためのR

## by 北川梨津

西山 他『計量経済学』のためのR […] 本稿では，西谷慶彦・新谷元嗣・川口大司・奥井亮（2019）『計量経済学』有斐閣の実証例を再現するためのRのサンプルコードを紹介します．Rの基本的な使い方を前提知識として仮定しています． 有斐閣のウェブサポートページでは，実証例の再現や実証の練習問題に必要なデータセットが公開されています．データセットはそこからダウンロードしてください．また，有斐閣のウェブサポートページでは，StataとEViewsのサンプルコードも用意されています．それらのソフトウェアが得意な人は，そちらも参照してみるとよいでしょう． … Read more →

# bookdown-demo.utf8

An interactive introduction to Statistics […] An interactive introduction. This book is a part of a series of works dedicated to providing free and open access to educational resources for topics in Statistics. You can reach the author at mattdisorbo@gmail.com with any questions or comments, as well as (please!) any typos you find. If you like this book, you can find further study in Probability, Inference and Stochastic … Read more →

# Data protection in journalism: a practical handbook

## by fede_caruso

Data protection in journalism: a practical handbook […] By Iñigo de Miguel Beriain, Lorena Pérez Campillo Edited by Federico Caruso version 0.5 Welcome to the Data protection handbook for journalists, a practical guide to help journalists deal with the processing of personal data within the European context. This book is brought to you by Panelfit, a project funded by the European Union’s Horizon 2020 Research and Innovation Programme, grant agreement N. 788039. … Read more →

# Using R for Social Work Research

## by Jerry Bean, College of Social Work, The Ohio State University

This is an example of using the bookdown package to write a book […] Our goal for this document is to illustrate the importance of good data analysis practices and how R and companion packages support these practices. We think the R system has many benefits for social work research. R has become the flagship computing environment for many areas of science and has great appeal because it is free and open-access. In addition, free tools like RStudio and R Markdown promote a replication commitment and open science philosophy important to our work. One particular strength of R is that it … Read more →

# Probability and Statistics for Business and Finance - 2020/21

## by Michela Cameletti

Notes for the R labs of the PSBF course @ Unibg […] You are reading the lecture notes of the R labs for the Probability and Statistics for Business and Finance (PBSF) course at University of Bergamo (academic year 2020/21). R is a great programming language especially designed for statistical analysis and data visualisation. The PSBF R labs are designed for those who don’t have any programming background. It will be a step-by-step path; at the end you will have the basic R knowledge for analysing financial time series. Enjoy the journey! In the following lecture notes, this font (with grey … Read more →

# Exploring the Arctic through Data

## by sarah_erickson_m

Exploring the Arctic through Data […] This is a compilation of datasets from the Arctic Data Center. Each contain data files ready for download and reuse. In this Bookdown, you’ll find additional background information about the dataset gathered from lab pages, associated journal articles, and related blog posts. They are meant to provide context and direction, but feel free to use the data as it suits your educational needs. Please share how you or your students ended up using these datasets. We hope to see these be materials collaborative and evolving. Email info@arcticdata.io to add to … Read more →

# Probabilistic Effects of a Play-In Tournament

## by Joe Siwinski

This is an analysis designed to view team playoff probability differences when a play-in tournament is put into place. […] In 2020, we saw the first ever NBA season that held a play-in tournament for the final 8th seed in both conferences. While the tournament was fun to watch, it made me think about the objective of this project: How does a play-in tournament effect the preseason playoff odds of teams? The code for this project can be found in my Github Repository at https://github.com/jsiwinski/Play-In-Tourney. In this bookdown, I will analyze the probabilistic effects of a play-in … Read more →

# Produção do Conhecimento Científico

## by Elaine Christine de Magalhães Cabral Albuquerque, Rejane de Almeida Santana dos Santos, Simão Pedro de Oliveira Urpia

E-book em desenvolvimento. […] Estudante, ao longo da nossa vida experimentamos, aprendemos, ensinamos e compartilhamos vivências. Você, provavelmente, já aprendeu muita coisa por aí com sua família, seus professores, amigos e conhecidos. Neste E-book, há momentos tanto para você compartilhar suas experiências e aprendizados quanto para fazer novas descobertas. Você irá levantar perguntas e testar hipóteses, resolver problemas, conhecer as causas e os efeitos de alguns fenômenos, compreender certos processos sociais e culturais, entre outros assuntos. Este E-book é um dos três livros … Read more →

# Scenarios for the Future: The Classroom’s Perspective

## by Naim Çınar

A collection of future scenarios based on different themes and scenario archetypes. […] Cover design: Berna Görgülü This book was generated by Naim Çınar in Markdown, using R version 3.6.3 The bookdown package can be installed from CRAN or Github: This book is hosted on Bookdown This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Citing the book As the structure of the book’s chapters and sections may change, links should only use the base URL https://bookdown.org/naimcinar/future-scenarios/. The full reference of this book is: … Read more →

# Statistical Learning Inmas workshop

## by Amelia McNamara

A three-day workshop introducing data science skills, including statistical modeling […] Hone your statistical, data, and computing literacy. Instead of covering all statistical modeling & inference techniques in 2 days (impossible!), focus on a couple of foundational & generalizable tools: linear regression & simple classification. In doing so, we’ll bypass topics in traditional stat intros. Favor applications using real data over theory so that you walk away with a sophisticated set of tools with real applications. Play around with the RStudio software. In doing so, focus on the patterns … Read more →

# Applied Genetics, Genomics, and Data Science for the Swine Industry: A Ph.D. Student’s Perspective

## by Caleb J. Grohmann

Experiments using advanced analytical methods for description, prediction, and prescription of data and outcomes within the United States commercial swine industry. […] This book is meant to document, in an extremely detailed fashion, every research project, experiment, and analysis conducted during my PhD program. The main goal of this book is to provide a seamless interface in which to combine technical and physical programming methods with the results of each analyses and subsequent discussion of these results. The book will be divided into parts, and each part encompasses all analyses … Read more →

# A Thesis Draft

## by Lin Yu

A Thesis Draft […] I summarized my work for this week: - Fortunately, I found all the summary statistics of the ~2.4million SNPs in Day’s meta-analysis paper. and did the standard quality control on the summary statistics; Since the target data is not available now, I instead did the following things as suggested. - I created a R draft and laid out the structure, I also added some information in sessions 2 & 3. Specifically, I prepared the variable dictionary in session 2.3 please take a look. I will appreciate your feedback:). (The R draft is not good enough now, I will add more contents) … Read more →

# Reproducible Miracle

## by Gökmen Altay

This book demonstrates 19 based coding system available in the Full Text of Quran text, which shows Quran is intact and unchanged. […] This book presents 19 based system with reproducible coding evidences that I discovered, tested and witnessed in a book fully written 1387 years ago (632) than the publication date (2019) of this book. Most of the codings could only be practically realized by the invention of computers. You will not only witness some of the miraculous examples of the 19 based codings but also have the ability to easily test them yourself by running the codes I will provide … Read more →

# An introduction to R Markdown

## by Fábio M. Corrêa **Email: f.correa@ru.ac.za

An introduction to R Markdown […] 17-02-2021 The text is under development and updates are … Read more →

# MMES Quantitative Research Methods Oxford 2021

## by Christopher Barrie

This is a working version of MMES Quant. Methods materials book. The output format for this example is bookdown::gitbook. […] You will find contained in this online document all the materials you need for this course. The book sets out for each week the readings that we will be discussing for each of the four weekly seminars. It also contains a set of take-home exercises. You can read more about the structure of the course in the next Introduction section. Note: this is a “live” document, meaning that I will continue to tweak some things. But fear not, the main course materials and assigned … Read more →

# GSL causeway and salinity

## by Jake Vander Laan (jvander@utah.gov), Utah Division of Water Quality

GSL causeway and salinity […] This documents contains a series of figures and analyses of Great Salt Lake (GSL) salinity, focused on the effects of causeway culvert closure and subsequent bridge and breach opening. These were developed to provide background information, context, and discussion points for the first GSL Salinity Advisory Committee Meeting. All data presented in this document are publicly available via USGS, UGS, or DWQ websites. Notes: … Read more →

# Introduction to R (Part 2)

## by Nana Kim

A document for Intro to R workshop (part 2) video […] In the next two chapters, we will learn how to manipulate and visualize data. We will use tidyverse packages (mainly dplyr, ggplot2, and tidyr) for easier and faster data manipulation/visualization. First, install and load the tidyverse by running: * Visit https://www.tidyverse.org/ to learn more about the … Read more →

# Data Science for Human-Centered Product Design

## by Travis Kassab

Data Science for Human-Centered Product Design […] This is a data science tutorial with seven open-source projects that show how statistics and machine learning can be applied to user survey data. The purpose is not to prescribe techniques, but to demonstrate the use of data science in the context of product design. I’ve compiled what I know on the topic, and hope readers adopt some of these techniques and use them in concert with qualitative research and entrepreneurial thinking to build better products. Let’s quickly preview the seven different use-cases. First, we must develop an … Read more →

# Advanced Predictive Analytics: The Code Book

## by Prof Dr Matthias Bogaert

This is the code book accompanying the slides of advanced predictive analytics (F00882) predictive and prescriptive analytics (F000801). […] This book contains example code of most of the items discussed in the slides of predictive analytics. The student is advised to first go over the slides and the online videos, such that he/she has a profound understanding of the underlying concepts. The theory will only be revised briefly in this book. The goal of this book is to give you an example of most of the concepts seen in class in the statistical programming language R. The code book will … Read more →

# Introducción a R

## by Juan Riera

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. … Read more →

# Úvod do analýzy údajov pomocou R

## by Tomáš Bacigál

Základy jazyka R a úvod do Data Science: prieskumná analýza, transformácia údajov (dplyr), vizualizácia (ggplot2), čistenie údajov (tidyr), interaktívne grafy (htmlwidgets, shiny, …), komunikácia (RMarkdown), efektívne programovanie (parallel, RCpp, RSQLite). […] I don’t think anyone actually believes that R is designed to make everyone happy. For me, R does about 99% of the things I need to do, but sadly, when I need to order a pizza, I still have to pick up the telephone. (R. Peng) Tento citát vystihuje univerzálnosť softvérového nástroja R1. Tak ako u veľa open source projektov jeho … Read more →

# Los shocks observados en el PIB de México respecto a la tasa de interés y la prima de riesgo (2009-2019)

## by Hernández Castelán Jorge Valente y Garcia Lozada Hector Andrés

Este trabajo consiste en modelar series de tiempo y los shocks en el tiempo. […] En el ámbito macroeconómico siempre ha existido la incertidumbre sobre los efectos de la tasa de interés en el crecimiento económico, además de los efectos de expectativas que existen dada la prima riesgo asignada para el país. Si nos remontamos a la lógica de que las expectativas juegan un rol importante en el ámbito macroeconómico, así como en la producción total de un país (su PIB), entonces podemos suponer que los efectos en la tasa de interés y la prima de riesgo son fundamentales respecto a esta variable, … Read more →

# Épidémiologie 2 - Labo informatique R (PTM-6675)

## by Simon Dufour (Professeur à la Faculté de Médecine vétérinaire de l'Université de Montréal)

Les notes de cours pour la partie TP du cours d’épi-2 […] Dans ce document, vous trouverez les différentes manières d’utiliser R pour vos analyses statistiques de base. Notez que les notions théoriques relatives aux tests statistiques utilisés n’y sont pas présentées. Pour cela, vous pouvez vous référrer au livre Veterinary Epidemiologic Research (Dohoo et al., 2009) ou au cours PTM-6675. Dans ce document, nous supposons que vous savez déjà: - Importer ou créer des bases de données dans R - Modifier des variables ou sélectionner une partie d’un jeu de données - Produire des tables de … Read more →

# Notes for Basic Statistics I

## by Joao M. Souto-Maior, PhD student at NYU

Notes for Basic Statistics I […] These are my notes for the Basic Stats I course at NYU (taught by Prof. Hassad). They will guide our lab sessions. The notes provide: Questions Note: Short-cut to the attendance file, … Read more →

# La preparación de un presupuesto industrial

## by Juan Riera

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] La sesión consta de dos … Read more →

# Computação em R: Análise experimental

## by Eric Bastos Gorgens, Marcio Leles Romarco de Oliveira

Computação em R: Análise experimental […] Delineamento experimental se trata do desenho do experimento. Ou seja, ele define a organização das unidades experimentais em função da pergunta científica que se deseja responder. Com base no delineamento escolhido, regras precisam ser seguidas, especialmente relacionados à maneira que os tratamentos são distribuídos nas unidades experimentais. Este livro apresenta o processamento dos principais delineamentos experimentais por meio da linguagem de programação R. Inicialmente, o livro apresenta o cálculo de uma análise de variância e descreve quais … Read more →

# COVID Data Analysis

## by Mike Lyons

Analysis of COVID Data from data.ct.gov. […] I am not an epidemiologist, nor am I a professional scientist or proper research professional. I studied Engineering in college quite a few years ago, and work in the cosmetics industry now. I am also a curious citizen and father who wanted to get sense for the prevalence of COVID where I live, in Redding, CT and the surrounding … Read more →

# STAT 205B: Classical Inference

## by Jizhou Kang

This is my E-version notes of the classical inference class in UCSC by Prof. Bruno Sanso, Winter 2020. This notes will mainly contain lecture notes, relevant extra materials (proofs, examples, etc.), as well as solution to selected problems, in my style. The notes will be ordered by time. The goal is to summarize all relevant materials and make them easily accessible in future. The textbook that we used is Casella (&) Berger’s famous book: Classical Inference, Second Edition. Most of the materials in this notes is from the textbook, although extending matrials will be added with reference. … Read more →

# Surrogates

## by Robert B. Gramacy

Surrogates: a new graduate level textbook on topics lying at the interface between machine learning, spatial statistics, computer simulation, meta-modeling (i.e., emulation), and design of experiments. Gaussian process emphasis facilitates flexible nonparametric and nonlinear modeling, with applications to uncertainty quantification, sensitivity analysis, calibration of computer models to field data, sequential design and (blackbox) optimization under uncertainty. Presentation targets numerically competent scientists in the engineering, physical, and biological sciences. Treatment includes historical perspective and canonical examples, but primarily concentrates on modern statistical methods, computation and implementation in R at modern scale. Rmarkdown facilitates a fully reproducible tour complete with motivation from, application to, and illustration with, compelling real-data examples. Read more →

# A First Course on Statistical Inference

## by Isabel Molina Peralta and Eduardo García Portugués

Notes for Statistical Inference. MSc in Statistics for Data Science. Carlos III University of Madrid. [...] Definition 1.1 (Random experiment) A random experiment is an experiment with the following properties: The following concepts are associated with a random experiment: Example 1.1 The next experiments are random experiments: A probability function is defined as a mapping of subsets (events) of the sample space \(\Omega\) to elements in \([0,1]\). Therefore, it is convenient to count on a “good” structure for these subsets, which will provide “good” properties to the probability ... Read more →

# R for Everyone (Advanced Analytics and Graphics) and LaTeX

## by Shaoshuang Wen, University of South Carolina,

R for Everyone (Advanced Analytics and Graphics) and LaTeX […] This is an introduction to R and Latex. In compiling this documents, several sources have been consulted, including Jared P. Lander’s R for Everyone, Hadley Wickham and Garrett Grolemund’s R for Data Science, Dr. Yuleng Zeng’s website, Dr. Timothy M. Peterson’s website, Havard’s Math Prefresher, the course offered by DataCamp. Chapter 3 and Chapter 4 are mostly borrowed from Dr. Yuleng Zeng’s website resources. Install the following applications: Finally, this document is to be used in-class only. As I (will) mention several … Read more →

# MSU PhD Roles and Policy Manual

## by authored by the Industrial and Organizational Program faculty

This is the policy manual for the Montclair State University PhD program in Industrial and Organizational Psychology. The output format for this manual is bookdown::gitbook. […] This is the policy manual for the Montclair State University PhD program in Industrial and Organizational Psychology, last updated … Read more →

# Lab Manual for the Respiratory and Immunology Project and Laboratory Research Team (RIPLRT)

## by Authors: The RIPLRT

This book constitute the lab manual for the Respiratory and Immunology Project and Laboratory Research Team (RIPLRT). The output format for this example is bookdown::gitbook. […] Welcome to the Respiratory and Immunology Project and Laboratory (RIPLRT) within College of Biomedical Sciences of Larkin University. If you are reading our lab manual because you recently joined the RIPLRT, welcome! If you are a current member of the RIPLRT, frequently refer to our lab manual to refresh our guidelines, policies, platforms, among others. We also look forward to immerse you in different learning … Read more →

# Medicina de Estilo de Vida

## by Dr. Héctor Murillo

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] Dr. Héctor Daniel Murillo Coronado DipIBLM 1,2,3,4 Médico cirujano certificado en Medicina de Estilo de Vida por el International Board of Lifestyle Medicine Association Escuela de Medicina, Universidad de Montemorelos Clínica del Estilo de Vida, Hospital La Carlota Colegio Mexicano de Medicina de Estilo de Vida Asociación Latinoamericana de Medicina de Estilo de … Read more →

# R Gallery Book

## by Kyle W. Brown

This is the complete guide to the R Gallery. […] Welcome the R Gallery Book, a complete guide to the R Graph Gallery website. This information is taken directly from R graph gallery with careful detail in reproducing plots and completing ideas. This material created by Kyle W. Brown as way to have one single reading collection of updated R gallery plots and graphs. While this book was created to encapsulate the entire R Graph Gallery website into one readable source, another purpose is serving as introductory level into data visualization using R programming … Read more →

# Engenharia de Recursos Hídricos

## by Vinicius Moreira

Síntese das aplicações produzidas no contexto da Disciplina Engenharia de Recursos Hídricos […] Essa publicação é uma síntese dos scripts produzidos no contexto da Disciplina Engenharia de Recursos Hídricos da Universidade Federal de Minas Gerais (UFMG) Doscente: Talita SilvaDisciplina: Engenharia de Recursos Hídricos Discente: Vinicius B. S. MoreiraMatrícula: 2016022609E-mail: … Read more →

# Survey Guide: The Challenge from Terrorism in the Nordic Countries

This is the guide to the survey on the challenge from terrorism in the Nordic countries, conducted in Iceland, Norway, and Sweden in 2018-2019. […] This document is a guide to the survey of the research project The challenge from terrorism in the Nordic countries. The project is a Nordic collaboration, and funded by the Nordic Research Council (NORDFORSK). The survey was conducted with online, probability-based samples of Icelandic, Norwegian, and Swedish citizens. The involved researchers are: Chapter 2 displays the question wordings in the respective languages. Chapter 3 shows the script … Read more →

# ISTA 321 - Data Mining

## by Nicholas DiRienzo

Course content for ISTA 321 - Last updated for Summer 2020 […] Welcome to ISTA 321 - Data Mining! The goal of this class is to teach you how to use R to make informed inferences and predictions from large datasets using a variety of methods. This requires a mixture of many skills including programming, data exploration and visualizations, statistics, algorithms, machine learning, model validation, and general data wrangling. We don’t do these things in isolation, but instead do them with a goal of answering a question, thus being able to apply this knowledge to make a data-driven decision … Read more →

# Advanced Statistical Computing

## by Roger D. Peng

The book covers material taught in the Johns Hopkins Biostatistics Advanced Statistical Computing course. I taught this course off and on from 2003–2016 to upper level PhD students in Biostatistics. The course ran for 8 weeks each year, which is a fairly compressed schedule for material of this nature. Because of the short time frame, I felt the need to present material in a manner that assumed that students would often be using others’ software to implement these algorithms but that they would need to know what was going on underneath. In particular, should something go wrong with one of … Read more →

# Beyond Multiple Linear Regression

## by Paul Roback and Julie Legler

An applied textbook on generalized linear models and multilevel models for advanced undergraduates, featuring many real, unique data sets. It is intended to be accessible to undergraduate students who have successfully completed a regression course. Even though there is no mathematical prerequisite, we still introduce fairly sophisticated topics such as likelihood theory, zero-inflated Poisson, and parametric bootstrapping in an intuitive and applied manner. We believe strongly in case studies featuring real data and real research questions; thus, most of the data in the textbook arises from collaborative research conducted by the authors and their students, or from student projects. Our goal is that, after working through this material, students will develop an expanded toolkit and a greater appreciation for the wider world of data and statistical modeling. Read more →

# MSU I.O Student Mentorship Program User Manual

## by Eagle I.O

This is a Users Manual for the Montclair State University I-O Psychology student mentorship program. The intended users are: 1) mentors, 2) protege’s, 3) Eagle I-O consultants, and 4) MSU I-O program faculty members. […] This manual was written in Bookdown using the GitBook … Read more →

# Marketing Research - MKTG4000

## by Jimmy Xu

This is an outline of the overall course structure for MKTG4000. […] This is an early draft for my Marketing Research course (MKTG4000) at CSUB. The free mannual (outline) is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. “Despite the package name containing the word”book“, bookdown is not only for books. The”book" can be anything that consists of multiple R Markdown documents meant to be read in a linear sequence, such as course handouts, study notes, a software manual, a thesis, or even a diary." “You can’t build a reputation on what … Read more →

# Bijbelstudie

## by JHvdZ

Bijbelstudie door JHvdZ … Read more →

# Introduction to Research Methods

## by Eric van Holm, PhD

This is a textbook written for an Introduction to Research Methods class in the social sciences […] “The true path to wisdom can be identified … it has to have practical application in your life. Otherwise, wisdom becomes a useless thing and deteriorates, like a sword that is never used.” - Paulo Coelho, “The Pilgrimage” This book is intended as a practical introduction to research methods in the social sciences. If you pursue research academically or professionally, it will probably not be the last book you need to read on the subject. This is intended as something of a gentle introduction … Read more →

# Pursuing Truth: A Guide to Critical Thinking

## by Randy Ridenour

This is a textbook for use in undergraduate critical thinking courses. […] This is a textbook written primarily for my students in PHIL 1502: Critical Thinking, at Oklahoma Baptist University in Shawnee, Oklahoma. There are many good textbooks for critical thinking on the market today, so why write another one? First, all of those books were written for someone else’s course. None cover all of the topics that I would like to cover in class. Second, as I’m sure any student can attest to, textbooks are remarkably expensive, to the point that most of the world’s population cannot afford access … Read more →

# Sentiment Analysis of 49 years of Warren Buffett’s Letters to Shareholders of Berkshire Hathaway

## by Paul D. Sonkin

Sentiment Analysis of 49 years of Warren Buffett’s Letters to Shareholders of Berkshire Hathaway […] The goal of this project is to perform a sentiment analysis in R of 49 years of letters to Berkshire Hathaway shareholders written by Warren Buffett between 1971 and 2019. What these data show is that IF, and that is a big if, the sentiment lexica are measuring the sentiment of Buffett’s letters accurately, that while Buffett says his focus is primarily on book value, the sentiment of his letters is actually more closely correlated with Berkshire’s stock price and the S&P 500 as shown in … Read more →

# MODELS TO INFORM THE SAFE COLLECTION AND TRANSFUSION OF DONATED BLOOD

## by W. Alton Russell

Doctoral dissertation. […] Copywrite 2021 by W. Alton Russell. All Rights Reserved. Re-distributed by Stanford University under license with the author. Donated blood is a critical component of health systems around the world, but its collection and transfusion involve risk for both donors and recipients. Transfusion-transmitted diseases and non-infectious transfusion-related adverse events pose a risk to transfusion recipients, and repeat blood donation can cause or exacerbate iron deficiency among donors. This dissertation describes four decision-analytic modeling projects that elucidate … Read more →

# Market Basket Analysis

## by Robert Goedegebuure

This module is part of the Minor Data Driven Decision Making in Business (3DMiB, for short). The module carries 2.5 credits (ECTS) […] This module makes use of R. To replicate, understand and adapt the code used in this module, download R and RStudio. In this module, you will use several R packages. You have to install these packages on your computer, using install.packages(“packagename”). You only have to install packages once on your computer. Only after installing new versions of R, you have to install packages again. For invoking the functions and accessing the data sets embedded in … Read more →

# Mathematical methods for Economic analysis

## by G.L.

This very little bookdown aims at presenting some basic ideas about the possible use of mathematical techniques to help with the economic analysis in a rigorous manner. […] The objective of these notes is to present succinctly some mathematical tools allowing to rigorously perform economic analyses. The first chapter presents a way to prove the theory of comparative advantages with far less hypotheses than usually needed. The second chapter provides a solution for the centipede paradox in the case of infinite games, and this solution is used to illustrate phenomena related to money. The … Read more →

# 2019 and 2020 Hybrid Maize x Teosinte Field Data

## by Manisha Munasinghe

This is a bookdown containing results of our analysis of the phenotype data collected on the maize x teosinte hybrids during the 2019 and 2020 field season. […] As part of our effort to characterize the ‘hybrid decay’ phenotype described in Xue et al. 2019, we have collected phenotypic data for several sick hybrid lineages. All lineages descend from a Bravo Teosinte x W22 Maize hybrid backcrossed 7 times to W22 we received from John Doebley. We denote this hybrid as sW22 (may also be refered to as a Bravo BC7), and it is the earliest “sickly” phenotype we have. We start by first detailing … Read more →

# R for Health Data Science

## by Ewen Harrison and Riinu Pius

An introductory book for health data science using R. […] This is the electronic version of the HealthyR book published by Chapman & Hall/CRC. HealthyR resources: healthyr.surgicalinformatics.org Example datasets used in the book can be downloaded here. Version 1.0.1 It is licensed under the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 United States … Read more →

# 三國志で学ぶデータ分析 (Japan.R 2019)

## by ill-identified

“三国志を題材にしたRを使ったデータ分析のチュートリアル” […] この記事は 2019/12/7 に開催された Japan.R の発表原稿をもとに作成した資料である. この記事の目的は2つ. ここでいう「データ分析」とは, なるべく複雑高度なテクニックを乱用せず必要最小限の方法で何かを言おうというものである. 今回の「データ分析」はスクレイピングによるデータ取得, データの加工整形, 要約統計量の計算, グラフによる視覚化, というよくあるデータ分析のアプローチであり, 使っているパッケージもrvest(スクレイピング), tidyrと dplyr(データの加工整形),ggplot2(グラフ作成)など様々な場面で使われるRの代表的なパッケージばかりで, … Read more →

# An Introduction to Acceptance Sampling and SPC with R

## by John Lawson

The output format for this book is bookdown::gitbook. […] This book is an introduction to statistical methods used in monitoring, controlling, and improving quality. Topics covered are: acceptance sampling; Shewhart control charts for Phase I studies; graphical and statistical tools for discovering and eliminating the cause of out-of-control-conditions; Cusum and EWMA control charts for Phase II process monitoring; design and analysis of experiments for process troubleshooting and discovering ways to improve process output; and multivariate control charts for Phase I and Phase II studies … Read more →

# Data Science: A First Introduction

## by Tiffany-Anne Timbers, Trevor Campbell, Melissa Lee

This is a textbook for teaching a first introduction to data science. […] This is an open source textbook aimed at introducing undergraduate students to data science. It was originally written for the University of British Columbia’s DSCI 100 - Introduction to Data Science course. In this book, we define data science as the study and development of reproducible, auditable processes to obtain value (i.e., insight) from data. The book is structured so that learners spend the first four chapters learning how to use the R programming language and Jupyter notebooks to load, wrangle/clean, and … Read more →

# Meta-Workflow

## by Miao YU

This is a workflow for metabolomics studies. […] This is an online handout for mass spectrometry based metabolomics data analysis. It would cover a full reproducible metabolomics workflow for data analysis and important topics related to metabolomics. Here is a list of topics: This is a book written in Bookdown. You could contribute it by a pull request in Github. A workshop based on this book could be found here. Meanwhile, a docker image xcmsrocker is available for metabolomics reproducible research. R and Rstudio are the software needed in this … Read more →

# R for Data Engineers

## by Greg Wilson

R for Data Engineers […] Years ago, Patrick Burns wrote The R Inferno, a guide to R for those who think they are in hell. Upon first encountering the language after two decades of using Python, I thought Burns was an optimist—after all, hell has rules. I have since realized that R does too, and that they are no more confusing or contradictory than those of other programming languages. They only appear so because R draws on a tradition unfamiliar to those of us raised with derivatives of C. Counting from one, copying data rather than modifying it, lazy evaluation: to quote the other … Read more →

# Analyzing and visualizing fiber photometry data with fluoR

## by Andrew Tamalunas

A living bookdown document focused on exploration, visualization, and analysis of neurobiological time series data - especially in the context of testing behavioral hypothesis. […] Analyzing and visualizing fiber photometry data with fluoR is a continuously updated book of tutorials and background information for analyzing and visualizing time series data from behavioral experiments. The fluoR R package is the successor to the GCalcium package, which I initially wrote to help ensure that my fiber photometry data analyses were accurate, consistent, and transparent. Both R packages and this … Read more →

# Dispersing or clustering: Spatial Pattern Analysis for Public Use and Taxi’s Rapid Charging Facilities in London, UK

## by Student Number: 19175131

This is a tutorial book with R Markdown for CASA0005 final coursework containing code and instruction of the whole analyzing process. Course name: CASA0005 Geographic Information Systems and Science Program: MSc Spatial Data Science and Visualisation Department: Centre for Advanced Spatial Analysis GitHub repository: https://github.com/LingruFeng/GIS_assessment Rpubs link: https://rpubs.com/Lingru/GIS_assessment … Read more →

# Abracadabra Stats - Companion Book

## by Matthew Whalen

This Book is a companion and appendum to the YouTube videos I make. […] Welcome! If you are here it is likeliy because you have drifted over from one of my videos, looking for practical experience implementing statistical tools in R. These demonstrations will take you through some more nitty-gritty math and coding to show you how how to turn visual intuition for stats into practical programming, and then into practical application in research. Each chapter corresponds to a single video. I will periodically update this introduction page to include relevant download instructions or link off … Read more →

# Working with Data in R

## by Eric van Holm, PhD

This is a textbook written to introduce some basic steps of working with and preparing data for use in quantitative analysis. […] This book will provide readers a few basic steps to begin working with data in R. It is not meant as a comprehensive introduction to using R for all of the different functions that are possible. Rather, it is tailored to help an individual that has quantitative data they would like to work with, but has not worked in R previously. The presentation of material is meant to be accessible to students with little to no background in R or computer programming. In many … Read more →

# Trabajo final de estadística aplicada a la mercadotécnia

## by Hernández Castelán Jorge Valente

Un análisis estadístico del sistema de salud en base a las ideas de las personas. […] Vivimos en un país en el que el sistema de salud siempre se ha encontrado en boca de todos, ya que independientemente de la clase social en la que uno se encuentre, nosotros o algún familiar nuestro en algún punto de nuestras vidas se ha visto en la necesidad de ir a estos centros de atención médica, ya sea el IMSS1 como el ISSTE2. Ciertamente todas las personas que han estado involucradas en estos lugares tienen experiencias diferentes respecto a ello, pero los tratos generales que hay aquí, así como las … Read more →

# Data Skills for Reproducible Science

## by psyteachr.github.io

This course provides an overview of skills needed for reproducible research and open science using the statistical programming language R. Students will learn about data visualisation, data tidying and wrangling, archiving, iteration and functions, probability and data simulations, general linear models, and reproducible workflows. Learning is reinforced through weekly assignments that involve working with different types of data. Read more →

# Cracking The First Year Exam

## by 红领巾

UCSC Ph.D. in Statistics First Year Class Practice Problems. […] People feel anxious about unknown things. In exams, that anxiety may diminish ones abaility of solving problems. When I was in my first year, I cannot stop thinking about what would the First Year Exam looks like, and that curiosity reached its peak at the night just before the exam. It was a long night. After the exam took place, when I traced back the whole preparing process for FYE, it reminded me a famous book for Chinese college entrance exam, Five Years’ Real Exams, Three Years’ Practice Problems (五年高考，三年模拟). … Read more →

# 自然生活的数学原理

## by 于淼

《自然生活的数学原理》，又名《新毕达哥拉斯主义》是一本于 2222 年出版的小册子，曾获得《银河系漫游指南》编辑认可而入选附录，但因编辑当天在厕所里作出录用决策后发现没带纸而失去机会，目前以薛定谔的猫态存在于作者脑中，旨在用最简单的数学原理进行日常生活决策，不断提升或降低生活幸福感。 生活在地球上的灵长类人类是一种奇怪的智慧动物，其进化后遗症包括但不限于没有发情期或者说性成熟后每时每刻都处于发情期、机体废气排放机制经常失灵、意识对行为存在虚幻的控制解释等等。 … Read more →

# 环境黑板报

## by 805

环境黑板报的文章存档 研究速递（研究动态、政策速递等） 科普讲堂（基础研究类、知识类科普等） 工程实践（实用技术、应用技术介绍等） 科苑风采（个人感悟、工作随笔、风采展示） … Read more →

# Ecologia numérica 2020/2021: Trabalho 4

## by Tiago A. Marques, Susana França, Ana Sofia Reboleira e os alunos de Ecologia Numérica 2020/2021

Um livro feito pelos alunos, para os alunos. This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] Este livro é o resultado dos esforços dos alunos de Ecologia Numérica na FCUL em 2020/2021. O ano de 2020/2021 ficou marcado pela pandemia de COVID19, que impôs grandes restrições à forma como as aulas foram dadas, bem como à forma de fazer a avaliação. Este livro é também uma demonstração de como se pode transformar um desafio numa oportunidade. Depois de assumir que exames em sala de aula poderiam ser caóticos, … Read more →

# Lab notes for Statistics for Social Sciences II: Multivariate Techniques

## by Eduardo García Portugués

Lab notes for Statistics for Social Sciences II: Multivariate Techniques […] Welcome to the lab notes for Statistics for Social Sciences II: Multivariate Techniques. Along these notes we will see how to effectively implement the statistical methods presented in the lectures. The exposition we will follow is based on learning by analyzing datasets and real-case studies, always with the help of statistical software. While doing so, we will illustrate the key insights of some multivariate techniques and the adequate use of advanced statistical software. Be advised that these notes are neither … Read more →

# A Short Course on Nonparametric Curve Estimation

## by Eduardo García Portugués

A Short Course on Nonparametric Curve Estimation. MSc in Applied Mathematics. EAFIT University (Colombia). [...] This course is intended to provide an introduction to nonparametric estimation of the density and regression functions from, mostly, the perspective of kernel smoothing. The emphasis is placed in building intuition behind the methods, gaining insights into their asymptotic properties, and showing their application through the use of statistical software. The software employed in the course is the statistical language R and its most common IDE (Integrated Development ... Read more →

# Statistica Applicata per la Finanza - 2020/21

## by Michela Cameletti

Appunti per il corso di Statistica applicata per la finanza @ Unibg […] State leggendo gli appunti dei laboratori di R del corso di Statistica Applicata per la Finanza (SAPF) tenuto all’Università di Bergamo (anno accademico 2020/21). R è un linguaggio di programmazione sviluppato specificatamente per l’analisi statistica e la rappresentazione grafica dei dati. I laboratori di R sono strutturati per studenti che non hanno uno specifico background in tema di programmazione. Sarà un percorso step-by-step al termine del quale ogni studente/essa avrà la conoscenza base di R per l’analisi delle … Read more →

# Mapping Workshop

## by Jonas Rodriguez, This material is based upon work supported by the National Science Foundation under Grant No. (1733633)

Mapping of all flavours: GWAS, TWAS, eQTL […] Before starting, please take this survey to help improve these materials and help develop new materials. For each section, if you run into issues, please leave a comment with the problems you are having in the comments section at the bottom of the page. Note, you can leave a comment as a guest by simply click on the ‘Name’ field and check the box labeled ‘Id rather post as a guest’. It will ask for your name and e-mail and you will be able to comment without setting up a Disqus account. University of Wisconsin Madison, jrodriguez36@wisc.edu↩ … Read more →

# Data Science at the Command Line, 1e

## by Jeroen Janssens

This is the website for Data Science at the Command Line, published by O’Reilly October 2014 First Edition. This hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data. To get you started—whether you’re on Windows, macOS, or Linux—author Jeroen Janssens has developed a Docker image packed with over 80 command-line tools. Discover why the command line is an agile, scalable, and extensible … Read more →

# Mastering Software Development in R

## by Roger D. Peng, Sean Kross, and Brooke Anderson

The book covers R software development for building data science tools. As the field of data science evolves, it has become clear that software development skills are essential for producing useful data science results and products. You will obtain rigorous training in the R language, including the skills for handling complex data, building R packages and developing custom data visualizations. You will learn modern software development practices to build tools that are highly reusable, modular, and suitable for use in a team-based environment or a community of developers. Read more →

# EDAV Final Project - Chess Analysis

## by Hanlin Tong, Wendy Qian, Yishi Wang

EDAV Final Project - Chess Analysis […] Inspired by recent Netflix series “The Queen’s Gambit”, which the starring actress Anya Taylor-Jay portrays Beth Harmon, a gifted girl orphan struggling with a drug addiction who grew in the 1960s male-dominated world of chess and became a grandmaster and an U.S. Champion, we were interested in what strategies chess players used in their games. History of chess can be traced back to 1500 years, while the predecessor of the game probably originated in India and spread to Persia. When the Arabs conquered Persia, chess was taken up by the Muslim world … Read more →

# Introduction

## by introrbook

Introduction […] … Read more →

# Exploring Digital Water Publics

## by Helge Peters and Nathanael Sheehan

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] The past year has seen increasing public debate about the environmental quality of water bodies in England. This debate has partly played out on the social media platform Twitter as environmental non-profits, local associations, celebrities, statutory bodies and other platform users form digital publics around a variety of issues related to the water environment. With a geographical focus on London and England, this project explores digital water publics by … Read more →

# English writing for CET6

## by wxhyihuan

资料内容收集来源于网络，主要来自： https://cet6.koolearn.com https://www.zhihu.com/answer/1290328425 … Read more →

# Species-Habitat Associations: Spatial data, predictive models, and ecological insights

## by Jason Matthiopoulos, John Fieberg, Geert Aarts

This book will describe methods for linking organisms to their habitat […] … Read more →

# A Statistical Analysis of Inherited Blindness: Physiological and Genetic Assays

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] Rod photoreceptor death is a form of retinal degeneration that rewires the retina, which eventually leads to blindness. We use genetic and physiological methods to study how the retina encodes the visual world differently. Using spike train consistency and information theoretic metrics, we find that cone mediated visual performance is maintained during retinal degeneration. Next, we find genetic targets that may recover the neural networks in RP patients. … Read more →

# Project in Data Analytics for Decision Making

## by Cédric Vuignier and Gaëtan Lovey

This project was completed as part of our course Project in Data Analytics for Decision making. […] This work was completed as part of our course “Project in Data Analytics for Decision Making.” We produced a detailed analysis of the german database. The ultimate goal was to predict whether the customer represents a risk for the bank or not by following the CRISP-DM method. Business Understanding: A company that lends money takes risks. This assessment has always been made by humans. However, it is important to provide reliable tools for decision-making. Indeed, the consequences of a large … Read more →

# Analysis

## by vincentsaudanba

Analysis […] Does money buy everything? This is a question that we can ask ourselves and especially when we talk about the movie industry where money, success and appearance are often highlighted. Through this project, we want to see if there is a relationship between the budget allocated to a specific movie and the profits generated by it. We will also compare this relationship through several aspects such as movie genres, main characters & production studios. After our analysis, our models showed a significant positive relationship between budget & profits. This relationship differs when … Read more →

# CS5702 Modern Data Book

## by Martin Shepperd

This is a draft course-book for the MSc Data Science Analytics module CS5702 Modern data […] This book cover image was generated using R and the famous cars dataset1. Courtesy of Giora Simchoni’s fun R package {kandinsky} which generates random images from datasets in the style of the painter … Read more →

# 简介与传送门

## by wxhyihuan

日期: 2020-11-10 作者：wxhyihuan 这份笔记主要是我个人在学习孙振球，徐勇勇老师的<> 第4版的过程中，尽量使用编程语言R对书中的示例进行实现的记录， 并用Bookdown形成的。 虽然在学习，整理过程中尽量将笔记的形式，内容结构进行力所能及的梳理，这里要特别感谢在学习过程中，在网络上找到的一些参考资料带来的帮助，然后将一些 示例与原书进行对照，以避免一些学习错误，但个人能力和精力实在有限，也容易会有理解不当，表述错误的情况， 如果您在参考的过程中，发现了这样的错误，请您尽量可以告诉我，我会确认并努力修正，如果您对文档有疑问或建议，都可以 邮件 告知我。 建议您购买原版教材结合本笔记学习，您也可以在网络上找到电子书方便参考。 … Read more →

# Explanatory Model Analysis

## by Przemyslaw Biecek and Tomasz Burzykowski

This book introduces unified language for exploration, explanation and examination of predictive machine learning models. […] … Read more →

# Title of The Web Page

## by Name and Surname

Title of The Web Page […] Fill this area with … Read more →

# ECO 397 Book Review

## by Clayton Engelby

ECO 397 Book Review […] Cathy O’Neill’s book “Weapons of Math Destruction” is an analysis of big data and its use of machine learning programs that aim to maximize market efficiency. In the process of doing so, she coins the initialism WMDs as logical flaws in the models that skew results in one way or another. Her argument focuses on the fact that more often than not, these failures result in the worsening of ongoing structural violence and only add fuel to the fire for recidivism rates, bankruptcies, mortgage defaults, college dropouts, and health-related deaths. While there is absolutely … Read more →

# Introduction to Statistical Methodology, Second Edition

## by Derek L. Sonderegger & Robert Buscaglia

Introduction to Statistical Methodology, Second Edition […] The problem with most introductory statistics courses is that they don’t prepare the student for the use of advanced statistics. Rote hand calculation is easy to test, easy to grade, and easy for students to learn to do, but is useless for actually understanding how to apply statistics. Since students pursuing a Ph.D. will likely be using statistics for the rest of their professional careers, we feel that this sort of course should attempt to steer away from a “cookbook” undergraduate pedagogy, and give the student enough … Read more →

# Statistical Methods II

## by Derek L. Sonderegger

The second semester of an Intro Stats course designed for graduate students in Biology, Forestry, Ecology, etc. […] These notes are intended to be used in the second semester of a two-semester sequence of Statistical Methodology. We assume that students have seen t-tests, Simple Regression, and ANOVA. The second semester emphasizes the uniform matrix notation (y = X\beta + \epsilon) and the interpretation of the coefficients. We cover model diagnostics, transformation, model selection, interactions of continuous and categorical predictors as well as introduce random effects in the … Read more →

# Análisis de datos longitudinales

## by Isaac Subirana

Curso donde se describen modelos y técnicas estadísticas para el análisis de diseños con datos longitudinales o de medidas repetidas. […] Idioma: Castellano/Catalán. El material está en castellano. Duración: 16 horas distribuido en 8 clases de 2 horas Objetivos: conocer modelos y técnicas estadísticas para analizar los datos de diseños de medidas repetidas o datos longitudinales. Recomendado: tener conocimiento de programa R y de las tácnicas estadísticas estándares como los modelos lineales o de regresión logística. Programas usados: R, versión 3.6.0 o posterior, RStudio. Durante el curso … Read more →

# Multivariate Statistical Analysis with R: PCA & Friends making a Hotdog

## by Brian Nguyen

Multivariate Statistical Analysis with R: PCA & Friends making a Hotdog […] Multivariate Analysis has been developed and evolved through many iterations by many different disciplines. Virtually all scientific domains need to use statistical methods under the Multivariate umbrella to analyze data with more than 1 variable. Thus, Multivariate Analysis has gotten many names and has been customized by many “-metric” disciplines throughout the years. Overall, Multivariate Analysis explore the relationships between observations and/or variables in a multivariate dataset. The strategies commonly … Read more →

# R - u znanosti i obrazovanju

## by Goran Kardum

R - u znanosti […] NAPOMENA: Tekst je u izradi (nije lektoriran i provjeren, nisu povezani svi literaturni navodi!) Knjiga je namijenjena svima koji žele naučiti modele obrade i prikaza podataka pomoću R jezika koristeći aplikaciju RStudio. Knjiga nije samo vodič kroz R jezik i RStudio aplikaciju, već koristi brojne izvore informacija te usporedbe različitih metoda koje se koriste u društvenim, humanističkim i biomedicinskim znanostima. Tako, ovdje možemo pronaći usporedbe različitih eksplanatornih i konfirmatornih metoda s brojnim referencijama te modeliranje (SEM). Ovo djelo nije samo … Read more →

# 1014SCG Statistics - Lecture Notes

## by James McBroom

These are the complete set of lecture notes in online bookform for the course 1014SCG Statistics at Griffith University, 2020. […] ©Griffith University 2019. Subject to the provisions of the Copyright Act, no part of this publication may be reproduced in any form or by any means (whether mechanical, electronic, microcopying, photocopying, recording, or otherwise), stored in a retrieval system or transmitted without prior … Read more →

# MedTech Foundation Spoke Guide

## by MedTech Foundation

A guide to run MedTech Foundation Spokes […] Welcome! This document is created to address the questions that you may have about running a spoke. Thus, it will only serve its purpose if we share what issues you may be facing and the document is set up in such a way that anyone can make an edit. Click on the fourth button from left to right to make an edit (you may need to register a GitHub account first). If you have any questions or want to suggest an edit without a GitHub account, please feel free to email programmedirector@medtechfoundation.org. … Read more →

# Guía para usar Haver Analytics

## by Victor Cuspinera

Guía para usar Haver Analytics, enfocándose en las series relacionadas con el dinero en efectivo y herramientas que podrían ser útiles a la Oficina de Estadística de la Dirección General de Emisión del Banco de México. […] Haver Analytics es una empresa que se encarga de coleccionar información económica, financiera y monetaria, a nivel global de distintas fuentes oficiales. El Banco de México tiene contratado una subscripción a algunas de las bases de datos de esta empresa, por lo que cualquier trabajador del banco puede solicitar el acceso a esta información sin incurrir en costo … Read more →

# Advanced Environmental Data Management

## by Donnie Day

Advanced Environmental Data Management […] This book template is what I learned from Advanced Data Management. Sean Kross has a much better template on GitHub. A few things you may want to do before building the book: Once you have everything in one place, do the following: We have now completed a book using a basic template. For more options, consult the book by Yihui … Read more →

# Introduction to Data Science

## by Ron Sarafian

Class notes for the BGU course - Introduction to Data Science. […] This book accompanies the course I give at Ben-Gurion University, named “Introduction to Data Science”. This is an introductory-level, hands-on focused course, designed for students with basic background in statistics and econometrics, and without programming experience. It introduces students to different tools needed for building a data science pipeline, including data processing, analysis, visualization and modeling. The course is taught in R environment. Many of the contents in this book are taken from BGU’s “R” course, … Read more →

# Aprendizaje Estadístico

## by Rubén Fernández Casal (ruben.fcasal@udc.es), Julián Costa (julian.costa@udc.es)

Apuntes de la asignatura de Aprendizaje Estadístico del Máster en Técnicas Estadísticas. […] Este libro contiene los apuntes de la asignatura de Aprendizaje Estadístico del Máster en Técnicas Estadísticas. Este libro ha sido escrito en R-Markdown empleando el paquete bookdown y está disponible en el repositorio Github: rubenfcasal/aprendizaje_estadistico. Se puede acceder a la versión en línea a través del siguiente enlace: https://rubenfcasal.github.io/aprendizaje_estadistico. donde puede descargarse en formato pdf. Para ejecutar los ejemplos mostrados en el libro sería necesario tener … Read more →

# Data Visualization with R

## by Rob Kabacoff

A guide to creating modern data visualizations with R. Starting with data preparation, topics include how to create effective univariate, bivariate, and multivariate graphs. In addition specialized graphs including geographic maps, the display of change over time, flow diagrams, interactive graphs, and graphs that help with the interpret statistical models are included. Focus is on the 45 most popular graph types. The guide also includes detailed instructions on how to customizing graphs, and ends with a chapter on graphing best practices. Although strongly based on the ggplot2 package, other approaches are included as well. Read more →

# R Software Handbook

## by Evaluation, Statistics, and Methodology - University of Tennessee, Knoxville

This is a handbook to help UTK Evaluation, Statistics, and Methodology students learn important R skills. […] Welcome to the R Handbook for ESM Students. This handbook is a hands-on guide to help you learn R. It will take you from installation and set up, to data cleaning, analysis, visualization, and reporting. This guide uses real data to help you practice with R. Specifically, it uses survey data from the RStudio Learning R Survey. It also includes data from built-in R data sets and simulated data. R is a free, open-source programming language for statistics and data visualization. It is … Read more →

# Estatística Descritiva

## by Rosineide da Paz

O objetivo da Estatística Descritiva é resumir as informações de interesse que estão contidas no conjunto de dados, fazendo uso de tabelas, gráficos e resumos numéricos. Esse tipo de exploração pode dar uma ideia do comportamento da variável estudada por meio de sua distribuição de frequência no conjunto de dados. Para se ter uma ideia dessa distribuição, podemos construir uma tabela de frequência para um conjunto de observações da variável de interesse. Embora o conjunto de dados não seja muito grande (n=209), não fica tão óbvio dizer se os estudantes gostam muito ou não da área de exatas … Read more →

# 1 Introdução

A estatística consiste numa metodologia científica para obtenção, organização, redução, apresentação, análise e interpretação de dados oriundos das mais variadas áreas das ciências experimentais, cujo objetivo principal é auxiliar a tomada de decisão em situações de incerteza, veja por exemplo Morettin (2017) e Barbetta, Reis, and Bornia (2004). Informalmente, podemos definir a ciência estatística como um conjunto de técnicas utilizadas para estudar a condição de uma população usando informações obtidas a partir de dados observados. Dados são resultados de observações de algum fenômeno, … Read more →

# Teoria das Probabilidades

## by Rosineide da Paz

Teoria das Probabilidades […] O início do desenvolvimento da teoria matemática das probabilidades se deu na França pelos matemáticos Blaid Pascal (1623 - 1662) e Pierre de Fermat (1601 – 1665). No entanto, as probabilidades de várias combinações de dados já haviam sido calculadas bem antes disso por Girolamo Cardano (1501-1576) e Galileo Galilei (1564-1642), see for example DeGroot and Schervish (2012) para uma revisão histórica da teoria das probabilidades. Frequentemente ouvem-se ou usam-se expressões como: “é provável que vai chover hoje”; “existe uma grande chance do voo atrasar”; “é … Read more →

# Methodology of Social Science & International Relations

## by LI Mingze

Methodology of Social Science & International Relations […] Academic articles have stark differences with the other regular articles. Now using some journals in International Relation field to explain. In morden era, all domestic history are global history.Even before it. Q1: China first meet Greece Culture? Gandhara(犍陀罗) in Buddhism Q2: Suona originally come from? 5th harmony’s “Worth it”,Zurna(唢呐) Q3: David Vases and it’s relation with Chinese porcelian.(元青花) Q4: China first meet Christianity？ Kereit（克烈部）Nestorian Q5: Communist International in China, Heinz Neumann， … Read more →

# Portfolio Construction

## by Jian SHEN

Portfolio construction with R […] outline: portfolio: basic portfolio concepts portfolio construction: back-testing machine learning: data clean, transform, viz, exploratory ts modeling model model evaluation math: convex optimization The R session information when compiling this book is shown below: Some basic knowledge about finance, time series analysis, optimization (linear and convex), programming (python1 or R) would be preferred. Later I will add corresponding python … Read more →

# Calculus-Integration

## by University of Washington Center for Quantitative Science, Updated by the TrEnCh Project

These materials were designed to be used by life science students to learn how to apply physics to investigate the function of ecosystems. […] Species and ecosystems continue to respond to climate change in unexpected ways– for example, shifting their distributions and abundances in directions opposite that expected. Such surprises highlight the need to translate our physical metrics of climates and climate change into how organisms are experiencing their environments. Differences in shape, coloration, and composition can lead two organisms to experience their shared environments very … Read more →

# Manual de Quesería

## by Juan Riera

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. … Read more →

# R Practices for Learning Statistics

## by Logan Kelly, Ph.D.

This is a set of demonstrations of basic statistical operations in R. It is intended to used in statistics classes taught at the University of Wisconsin-River Falls. … Read more →

# Computational Methods in der politischen Kommunikationsforschung

## by Julian Unkel

Computational Methods in der politischen Kommunikationsforschung […] Zuletzt aktualisiert: 2020-11-19 11:45:03. Dies ist ein Work-in-Progress und wird laufend aktualisiert. Aufgrund der aktuellen Situation wird dieses Seminar in einen Online-Kurs überführt. Alle Seminarinhalte werden in Textform aufbereitet und nach und nach diesem Online-Kurs hinzugefügt. Auf Basis des Kurses sollen die Seminarinhalte selbstständig und mit weitestgehend eigenem Lerntempo erarbeitet werden. In jedem Kapitel werden hierzu zunächst die wesentlichen Konzepte und Inhalte erläutert. Jedes Kapitel schließt mit … Read more →

# A Minimal rTorch Book

## by Alfonso R. Reyes

This is a minimal tutorial about using the rTorch package to have fun while doing machine learning. This book was written with bookdown. […] Last update: Sun Oct 25 12:05:18 2020 -0500 (79503f6ee) You need couple of things to get rTorch working: Install Python Anaconda. Preferably, for 64-bits, and above Python 3.6+. I have successfully tested Anaconda under four different operating systems: Windows (Win10 and Windows Server 2008); macOS (Sierra, Mojave and Catalina); Linux (Debian, Fedora and Ubuntu); and lastly, Solaris 10. All these tests are required by CRAN. Install R, Rtools and … Read more →

# Applied Spatio-temporal Statistics

## by Trevor Hefley

Course notes for Applied Spatio-temporal Statistics (STAT 764) at Kansas State University […] This document contains the course notes for Applied Spatio-temporal Statistics at Kansas State University (STAT 764). During the semester we will cover construction and analysis of spatial, time series, and spatio-temporal data sets. Topics include data generation using geographic information systems, exploratory data analysis and visualization, and descriptive and dynamic spatio-temporal statistical … Read more →

# Research methods introduction for genetic counseling students

## by Anshul Kumar

This e-book contains an introduction to qualitative and quantitative research methods that may be useful for genetic counseling students to learn. This curriculum is part of the Master of Science in Genetic Counseling program at MGH Institute of Health Professions. […] CLICK HERE TO JUMP DOWN TO THE CURRENT SECTION. Hi Everyone– My name is Anshul and I will be visiting your class for weeks 7, 8, 10, and 11 in the fall 2020 offering of GC621. This e-book contains the materials that we will use during our four weeks together. Each week, there will be an assignment that you need to do before … Read more →

# Week of November 9th

## by Chiraag Gohel

Week of November 9th … Read more →

# An Introduction to Probability and Simulation

## by Kevin Ross

This textbook presents a simulation-based approach to probability, using the Symbulate package. […] Why study probability? Why use simulation to study probability? The exercises in this book are used to both motivate new topics and to help you practice your understanding of the material. You should attempt the exercises on your own before reading the solutions. To encourage you to do so, the solutions have been hidden. You can reveal the solution by clicking on the Show/hide solution button. Show/hide solution Here is where a solution would be, but be sure to think about the problem on your … Read more →

# Kursmaterial Introduktion till R - Certifierad Data Scientist

## by Filip Wästberg & Torbjörn Sjöberg, Solita

Här finns kursmaterial och övningar för första blocket R-övningar. […] För att ta del av det här materialet behöver du inte några särskilda förkunskaper. Övningarna och upplägget följer boken R for Data Science av Hadley Wickham och Garrett Grolemund som finns gratis. Den boken är ett utmärkt fördjupande komplement till det här … Read more →

# Notes for Ecological Modelling

## by Tiago A. Marques

This is based on Yihui Xie’s a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] These notes were written in 2020, during the ecological modelling classes (Modelação Ecológica, ME in short). While it all started as just a way to teach the course, it soon became obvious that with a bit of extra effort put into it these notes might become material that would be useful to others beyond the ME students. This is being written as a bookdown project. Maybe one day it will become a book, for now, these are essentially notes I … Read more →

# Guide to Creating Interactive Maps in R

## by Emine Fidan

Guide to Creating Interactive Maps in R […] Prior to working through the exercises and modules in this book, please watch the precursor videos that provide an introduction to GIS and geospatial data. The videos can be found here: First things first, you should install the R and RStudio softwares. To download R, visit the webpage https://cloud.r-project.org. You should see three download links at the top of the page, please click and install the appropriate R software for your machine (Linux, Mac OS, or Windows). Next, install RStudio Desktop from the webpage https://rstudio.com/download. … Read more →

# PSY230: Psychological Measurement and Statistics

## by Yaohui Ding

This is an introductory statistics course for psychology major(s) at the University of Arizona. […] Welcome students to the class. What statistics is about? We collect data and make probability statements all the time, whether formally or informally, systematically or casually. What this class is about? why statistics is an interesting subject? … Read more →

# Kursmaterial till Certifierad Data Scientist

## by Filip Wästberg, Solita

Det här dokumentet innehåller kursmaterial och övningar för det första blockets R-övningar. […] För att ta del av det här materialet behöver du inte några särskilda förkunskaper. Övningarna och upplägget följer boken R for Data Science av Hadley Wickham och Garrett Grolemund som finns gratis. Den boken är ett utmärkt fördjupande komplement till det här … Read more →

# Modern R with the tidyverse

## by Bruno Rodrigues

This book will teach you how to use R to solve your statistical, data science and machine learning problems. Importing data, computing descriptive statistics, running regressions (or more complex machine learning models) and generating reports are some of the topics covered. No previous experience with R is needed. […] This book is still being written. Chapters 1 to 8 are almost ready, but more content is being added (especially to chapter 8). 9 and 10 are empty for now. Some exercises might be at the wrong place too and more are coming. You can purchase an ebook version of this book on … Read more →

# Psihologija odgoja i obrazovanja

## by Goran Kardum

Skripta predavanja iz kolegija Psihologija odgoja i obrazovanja […] Ovaj tekst predstavlja vodič za studente na kolegiju Psihologija odgoja i obrazovanja. Sadržaj ove skripte objedinjuje različite izvore i dostupne materijale koji objedinjuju područja opće psihologije, razvojne psihologije te psihologije obrazovanja. Uz navedena područja psihologije, uključuje i druga interdisciplinarna područja, poput neuroznanosti. Konačno, pri kraju je i poglavlje koje nosi naziv Katalog znanja gdje su pojmovi koji su obrađeni na nastavi a služe studentima za pripremu kolokvija i ispita. (tekst nije … Read more →

# PSY317L Guidebook

## by James P. Curley & Tyler M. Milewski

PSY317L Guidebook […] This books is still in progress !!! This is a draft. Several sections are still incomplete or unedited. This book is written to help students enrolled in the University of Texas at Austin Introduction to Statistics for the Behavioral Sciences (PSY317L) course led by Professor James Curley. We hope that the book will be a useful resource to help you learn both R and statistics. If you have any suggestions for improvements, please get in touch with Professor Curley. This is in between a textbook and a study guide. We’re trying to build materials that will enable students … Read more →

# SHUD水文模型

## by Lele Shu (shulele@lzb.ac.cn)

SHUD Book […] 这是一本有关SHUD模型的说明书，包含和模型的基本理论、构建、应用案例和程序设计。本书不仅仅向模型用户介绍SHUD模型本身，更想为水文和地球工作中展示以水为媒的自然过程。 “云气西行，云云然冬夏不辍；水泉东流，日夜不休；上不竭，下不满；小为大，重为轻；圜道也。” ——吕不韦 《吕氏春秋》, 公元前239年(?) “上善若水，水善利万物而不争” ——老子《道德家》，公元前四世纪 科学技术是人工的演化。理论物理学家的理论验证需要等待宇宙现象的发生。科学家穷其一生也无法验证某些理论——因为自然现象的发生概率非常低。所以，人工实验就可以大幅度提高这种现象的发生概率。 … Read more →

# QA of Code

## by Joshua Halls

This is a draft of QA for Coding guidance […] ALPHA This is a draft of Government Statistical Service guidance. It is unpublished and does not represent the views of the ONS or the GSS. … Read more →

# “Guia bàsica d’ús d’R amb Rstudio”

## by “Jordi Compte, Rafael Muñoz-Mas, María Antón-Pardo & Stéphanie Gascón”

Aquesta és una guia d’introducció a l’ús d’R i RStudio dins l’àmbit de l’assignatura d’Anàlisi Avançada de Dades de l’UdG. […] Aquest llibre és una petita guia per iniciar-vos en l’ús d’R per a l’anàlisi de dades en l’àmbit de la Biologia i Ciències ambientals. S’enmarca dins els coneixements requerits a l’assignaura d’Anàlisis Avançada de Dades de l’UdG. Aquest llibre ha estat elaborat amb R-Markdown mitjançant el package bookdown. Aquesta obra està sota llicència de Creative Commons Reconocimiento-No Comercial-Sin Obra Derivada 4.0 … Read more →

# Designing and Building Data Science Solutions

## by Jonathan Leslie, Neri Van Otten

Data science, machine learning and artificial intelligence (AI) can have game-changing impacts for businesses, empowering them to increase operational efficiency, improve the quality of their services and understand their customers better. Yet for these benefits to be realised, data science initiatives must be designed and executed in a sensible way. Often these projects, while successful from a scientific standpoint, miss the mark in terms of business impact. Many business leaders are left feeling unsettled, balancing the need for innovation and the adoption of revolutionary technologies with an uncomfortable degree of uncertainty and risk of failure. For the data scientist the situation can be equally unnerving, with uncertainties about how to deliver a successful project when the path is not clear. Yet, these uncertainties and risks – for the business leader and the data scientist alike – can be controlled and managed if approached in a sensible manner. Your authors have designed and delivered hundreds of projects across a wide range of industries. We have made many mistakes, and in the process we have learned what works well and where the common pitfalls lie. We wrote this book to share our experiences in hopes that it will help the reader – whether a data science practitioner or a business leader – reduce these risks and design projects that have the greatest chance of success. Much of the content in this guide is derived from lessons we have given to our students. Here we have gathered, organised and expanded on those bits of advice to serve as a resource for anyone considering embarking on a data science journey. We share our approach to data science projects, addressing topics such as alignment to business imperatives, project design, project delivery and evaluation of success. Data science can be an exciting, invigorating field, and for the business leader, it can bring about revolutionary changes to an organisation that can come with huge returns on investment and value added. For the data scientist, designing and delivering successful projects is rewarding, stimulating and tremendously gratifying. We hope this guide gives you the confidence to understand the risks and approach your project in a sensible way. Read more →

# Técnicas de Remuestreo

## by Ricardo Cao Abad (rcao@udc.es) y Rubén Fernández Casal (rfcasal@udc.es)

Apuntes de la asignatura de Técnicas de Remuestreo del Máster en Técnicas Estadísticas. […] Este libro contiene los apuntes de la asignatura de Técnicas de Remuestreo del Máster en Técnicas Estadísticas. Este libro ha sido escrito en R-Markdown empleando el paquete bookdown y está disponible en el repositorio Github: rubenfcasal/book_remuestreo. Se puede acceder a la versión en línea a través del siguiente enlace: https://rubenfcasal.github.io/book_remuestreo. donde puede descargarse en formato pdf. Para ejecutar los ejemplos mostrados en el libro será necesario tener instalados los … Read more →

# Machine Learning for Biostatistics

## by Armando Teixeira-Pinto & Jaroslaw Harezlak

Machine Learning for Biostatistics […] So far, most of the methods that we have seen (with the exception of KNN) assume an additive effect of the predictors. We will now study non-parametric methods to estimate (f(\mathbf x)). By the end of this module you should be able to: The dataset triceps is available in the MultiKink package. You may install.packages(“MultiKink”), load the library (library(MultiKink)) and then run data(“triceps”). The data are derived from an anthropometric study of 892 females under 50 years in three Gambian villages in West Africa. There are 892 observations on … Read more →

# Data Science for Beginners Part 1

## by Bakti Siregar S.Si, M.Sc

This repository was create for Data Science (Beginners) using RStudio […] Department of Statistics Faculty of STEM Tangerang, Banten Info: siregarbakti@gmail.com This book is starting from introductory level, hands-on practical courses, designed for smart people with a basic background in maths or statistics, econometrics, and computer science, even without programming experience. It will introduce you to different perspectives of data science, including data processing, analysis, visualization, and modeling. Each chapter would be practically discussed in RStudio Integrated Development … Read more →

# An Introduction to Web Analytics

## by Michael Hewlett

The best basics of web analytics. […] If I asked you how you wanted to level-up in web analytics, it would be fair if you said “I can’t answer that - I don’t know enough about web analytics to know what I don’t know”. This textbook will take you from “I don’t know what I don’t know” to knowing the content areas of web analytics and broadly knowing what can be done with web analytics skills. In addition to shifting your knowledge base from unknown unknowns to known unknowns, by the end of this textbook, you will be able to take any question that can be addressed with web analytics and answer … Read more →

# R 資料科學與統計

## by 林建甫 Jeff Lin

R 資料科學與統計 […] R 可視為統計數學軟體, 也是一種程式語言, 而近年來的發展, R 更成為資料科學的熱門的工具之一. R 是一個免費的統計分析軟體 (open-source, GNU General Public License), R 由一群跨國際的志工人員組成的 {R} 核心發展組織 (R core-development team) 所維持, 運作與持續更新發展. 目前對初學者的 R 入門學習有二大主要論點, 一為學習使用 R Base 原始語言與原始套件, 二為直接學習外部套件, 如 ggplot2, tidyverse 系統. 無論哪一種方式各有其優缺點. 個人認為對未來必須經常性使用 R 進行資料分析工作的初學者, 則建議先學習使用 R Base 原始語言. 對於未來僅在少數時間必須使用 R 進行資料分析工作, 或是僅在統計學上課使用, 則建議學習 … Read more →

# Review and Homework for Programming for Educational Research

## by Chaeeun Song

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] 이것은 2020학년도 2학기 교육용 프로그래밍의 이해 수업을 들으며 작성한 필기 노트와 과제 모음입니다. R markdown is a file format that can be converted into many different documents such as HTML, PDF, Microsoft Word, and other dynamic documents. That is, it’s a nice example of one source multi … Read more →

# EMMERG Spatial

## by Gabriel Carrasco

Working notes […] Quantify the effects of contextual variables by coupling spatial and temporal structures in a Bayesian model framework. The model will then used to produce out-of-sample predicted probabilities of exceeding county-specific outbreak thresholds to develop early warning information to predict the risk of emerging drug … Read more →

# Advanced R Course

## by Florian Privé

This contains materials for the Advanced R course of the doctoral school of Grenoble, France. […] This material is licensed under the Creative Commons Attribution-ShareAlike 3.0 License. Florian Privé is a postdoc in predictive human genetics, fond of Data Science and an R(cpp) enthusiast. He is also the founder and former organizer of the Grenoble R user group. You can find him on Twitter and GitHub as @privefl and on Stack Overflow as F. Privé. … Read more →

# R for Statistical Learning

## by David Dalpiaz

Welcome to R for Statistical Learning! While this is the current title, a more appropriate title would be “Machine Learning from the Perspective of a Statistician using R” but that doesn’t seem as catchy. This book currently serves as a supplement to An Introduction to Statistical Learning for STAT 432 - Basics of Statistical Learning at the University of Illinois at Urbana-Champaign. The initial focus of this text was to expand on ISL’s introduction to using R for statistical learning, mostly through adding to and modifying existing code. This text is currently becoming much more … Read more →

# Companion to BER 642: Advanced Regression Methods

## by Cheng Hua, Dr. Youn-Jeng Choi, Qingzhou Shi

This is a companion book for students taking the BER 642: Advanced Regression Method at the University of Alabama, Fall 2020 […] This book is still in progress !!! This is a draft. Several sections are still incomplete or unedited. This book is written to help students enrolled in the University of Alabama, Advanced Regression Method (BER 642) course led by Professor Dr.Youn-Jeng (Joy) Choi. We hope that the book will be a useful resource to help you learn both R and statistics. If you have any questions concerning your homework in R, please contact your TA: Qingzhou, at: … Read more →

# Ryten lab induction book

## by David Zhang, Regina Reynolds

Induction bookdown for all things Ryten lab […] We hope you enjoy your time in the Ryten lab! Some description about the book… TO BE ADDED For example, this book was made possible thanks to the R package bookdown (Xie 2020). The below code automatically generates the packages.bib, a bibtex format for all the packages listed. If you contribute to this book and include a particular R package in your guide (as with bookdown above), consider adding it to the code chunk and citing it via including [@R-package_name] in the text. Xie, Yihui. 2020. Bookdown: Authoring Books and Technical Documents … Read more →

# PsyBSC 2 Statistik

## by TS

Tutoriumsschriften für das Modul PsyBsC 2 Einführung in die Statistik. […] Achtung: Falls ihr die Buchkapitel als PDF haben möchtet, klickt bitte hier. Der Vorteil der Online Bookdown Ressource ist, dass ich diese ständig aktualisieren kann, was bei den PDF-Dateien schwer zu realisieren ist, wobei ihr für die Einsicht in die PDF-Dateien keine stabile Internetverbindung benötigt. Es kann jedoch sein, dass die Online Ressource auf einem neueren Stand ist, als die PDF-Dateien. In diesem kleinen Büchlein werden die Themeninhalte des Moduls PsyBSc 2 anhand von Beispielen näher erläutert bzw. … Read more →

# Basic R Guide for NSC Statistics

## by Deanna Li

This is an R guide for statistics course at NSC. […] This guide’s primary focus is on Basic R. When graphics are involved, command functions in both Basic R and a package called ggplot2 will be shown. Graph enhancements will be kept to a minimum. Although there are R packages that may do the same or better job than Basic R, this tutorial will not delve into those packages. Exploring other packages will be left for the student to look into, if the student so wishes. Datasets will be taken mostly from those built into R. Since this is mainly a tutorial on the R commands necessary to do … Read more →

# CI 5371: Learning Analytics

## by Bodong Chen

This is a course manual of Bodong Chen’s learning analytics course. […] This is the course website of CI 5371 - Learning Analytics: Theory and Practice offered in Fall ’20 at the University of Minnesota. This course is fully online. All content published on this website is open to the public. Instructor: Bodong Chen, Associate Professor in Learning Technologies and Huebner Endowed Chair in Education & … Read more →

# GSBS Core Course Biostats Modules in R

## by Yunlong Yang

Using R bookdown to present all the assignments in the class. Assignments will be divided into chapters. […] This bookdown document combines many R Markdown files, and is intended to showcase the utility of R Markdown in reporting data. Each chapter in this document contains a brief sample report of each week’s assignment using data provided in-class, as well as an extention of a topic covered that week. Chapter … Read more →

# A Minimal Book Example

## by William Guardado

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] The objective of the present study was to assess traits present in women whom have either depression or an eating disorder, along with a control sample, in a sample of women from different demographic and educational backgrounds. Several measures were taken from 516 Women aged 18 or above. Questionnaires for screening eating disorders and Depression, Anxiety and Stress Scale, perfectionism and self esteem scores were performed on participants. The underlying … Read more →

# LuoFei的R学习笔记

## by 罗飞

R语言学习笔记 […] 作为一名10多年工作经历的公卫人，在实际工作感受越来越明显的是，公共卫生的研究对于数学，尤其是统计学的知识需求越来越大。现在看国外的文章，没有数学基础，几乎看都看不懂。使用统计学方法不可避免地又会使用到统计软件。传统的SAS, Stat 和 Spss等均有自身的优缺点。其实主要是要收费啊！！ R语言从诞生到现在，不停的发展壮大，愈来愈完善，关键是开源、免费，还有各种最新的统计方法的包。在2020年新冠疫情期间，我从湖北回来后的隔离期间，学习了Python，学了2个礼拜感觉对于自己的工作来说，R好像更为实用点。之后我开始零散的学习R语言。大半年过去了，现在感觉因为没有系统的学习，知识点有点混乱，平时写代码的时候，常常会忘记一些命令，函数，只能在网上搜索。随着学习的不断深入，感觉是时候系统地整理一下学过的东西，避免要用的时候又手忙脚乱在网上 … Read more →

# SakaiDocs

## by CAHP Team

This book contains the results of the document analysis that I did over the summer. I reviewed all available documents on the PCLN and SOM-Y1 courses’ Sakai pages. […] Please read this section before you click through the information in this document. Things I talk about here will help contextualize what you read and explain some of the features of this document. I first highlight some important information about the document analysis. I then provide a table of the courses whose docs were included in this document analysis. The information in this document is the result of a “document … Read more →

# Statistical rethinking with brms, ggplot2, and the tidyverse

## by A Solomon Kurz

This project is an attempt to re-express the code in McElreath’s textbook. His models are re-fit in brms, plots are redone with ggplot2, and the general data wrangling code predominantly follows the tidyverse style. […] I love McElreath’s (2015) Statistical rethinking text. It’s the entry-level textbook for applied researchers I spent years looking for. McElreath’s freely-available lectures on the book are really great, too. However, I prefer using Bürkner’s brms package (Bürkner, 2017, 2018, 2020a) when doing Bayesian regression in R. It’s just spectacular. I also prefer plotting with … Read more →

# Practical Data Science

## by Michael Clark

The focus of this document is on data science tools and techniques in R, including basic programming knowledge, visualization practices, modeling, and more, along with exercises to practice further. In addition, the demonstrations of most content in Python is available via Jupyter notebooks. […] Michael Clarkhttps://m-clark.github.io/ … Read more →

# Worked Solutions to Project Euler in R

## by See contributing.md

Worked Solutions to Project Euler in R […] Project Euler is a series of challenging mathematical/computer programming problems that will require more than just mathematical insights to solve. Although mathematics will help you arrive at elegant and efficient methods, the use of a computer and programming skills will be required to solve most problems. The motivation for starting Project Euler, and its continuation, is to provide a platform for the inquiring mind to delve into unfamiliar areas and learn new concepts in a fun and recreational context. The intended audience include students … Read more →

# Introduction to R

## by Nana Kim

A workshop file for Intro to R workshop in EP762 class […] Learning R will expand your ability to analyze and visualize data. It may seem difficult to understand R at first; but you will find it simple and fun as you learn it. Hope this brief introduction can help beginners get started with R. … Read more →

# Modul Pelatihan Riset Kuantitatif Ekonomi dan Manajemen INSW

## by Tim Pengajar :, Dr. Bagus Sartono, M.Si dan Aep Hidayatuloh, S.Stat

Modul Pelatihan Riset Kuantitatif Ekonomi dan Manajemen bagi INSW sebagai bagian dari kajian Dwelling Time. […] Selamat datang para peserta pelatihan Riset Kuantitatif Ekonomi dan Manajemen. Dokumen ini merupakan bahan ajar praktikum untuk materi Riset Kuantitatif Ekonomi dan Manajemen. Pelatihan ini akan membahas pengaplikasian metode-metode statistika dan machine learning menggunakan software R. 03 Oktober 2020 30 September 2020 22 September 2020 20 September 2020 bagusco@apps.ipb.ac.id↩︎ aephidayatuloh.mail@gmail.com↩︎ … Read more →

# Abnormal Psychology, Fall 2020

## by Brian Holt

This is a minimal example of using the bookdown package for abnormal psychology […] This document is a schedule of readings for Abnormal Psychology, North Seattle College. Generally, the pattern of this document will provide you a weekly list of things to read and do. I would recommend not printing the entire book as it is a work in progress. It is probably safe to print weekly chapters/sections. Note on blue boxes These blue boxes can be skipped. They are much like a footnote, a comment. Something trivial but maybe … Read more →

# Integration and harmonization of trait data from plant individuals across heterogeneous sources

## by Tim P. Lenters, Andrew Henderson, Caroline M. Dracxler, Guilherme A. Elias, Suzanne Mogue, Thomas L.P. Couvreur & W. Daniel Kissling

Integration and harmonization of trait data from plant individuals across heterogeneous sources […] This tutorial gives an indepth explanation of how to use and implement the different aspects of the workflow as described in Lenters et al., (submitted) It consists of different … Read more →

# HW_01

## by 설시내

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] … Read more →

# 10 Fundamental Theorems for Econometrics

## by Thomas S. Robinson (

This book walks through the ten most important statistical theorems as highlighted by Jeffrey Wooldridge, presenting intuiitions, proofs, and applications. […] A list of 10 econometric theorems was circulated on Twitter citing what Jeffrey Wooldridge claims you just need to apply repeatedly in order to do econometrics. As a political scientist with applied statistics training, this list caught my attention because it contains many of the theorems I see used in (methods) papers, but which I typically glaze over for lack of understanding. The complete list (slightly paraphrased) is: As an … Read more →

# ¿Que mas debemos conocer, muy aparte de tecnicas y analisis estadistico? Analytics, BI, automatizacion, etc.

## by Daniel Sirlupu

Blog construido con el paquete bookdwown que se presenta como gitbook con temas relevantes para un mundo cada vez mas digital […] Yihui Xie y el paquete bookdown hacen esto posible, una forma concreta de unir varios resumenes escritos en R Markdown en un consolidado llamado bookdown. Es un blog en formato de libro digital, donde tocare temas relevantes para un mundo cada vez mas digital, tendra actualizaciones en periodos de … Read more →

# Computational Genomics with R

## by Altuna Akalin

A guide to computationa genomics using R. The book covers fundemental topics with practical examples for an interdisciplinery audience […] The aim of this book is to provide the fundamentals for data analysis for genomics. We developed this book based on the computational genomics courses we are giving every year. We have had invariably an interdisciplinary audience with backgrounds from physics, biology, medicine, math, computer science or other quantitative fields. We want this book to be a starting point for computational genomics students and a guide for further data analysis in more … Read more →

# R Homework 1

## by 192EEG04 Jung Eun Ju

R Homework 1 … Read more →

# R Programming - 1st Homework (202AIE42)

## by Hong hyejin

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] … Read more →

# Marketing Channel: A Strategic, Analytical, and Technological perspective

## by Zhenning ‘Jimmy’ Xu, Ph.D.

Please be aware that these course notes are still in progress !!! This is an early draft. This mannual is copyrighted under Creative Commons Attribution-NonCommercial 4.0 International Public License. The mannual will continue to be updated in the future. Your feedback is highly appreciated! The course notes serve as a companion resource to the following free textbooks and resources: Retail Management, https://courses.lumenlearning.com/wm-retailmanagement/ Location Intelligence, Research and Applications, http://www.murrayrice.com/li-book-download.html ((Must Complete Free Registration) B2B … Read more →

# 교육용 프로그래밍 Home Work 1

## by 소프트웨어교육전공 192SEE01 김미경

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] Using the mpg dataset in the ggplot2 package, replicate the plot below using the following settings: Answer … Read more →

# Grange-Lab Manual

## by Jim Grange

The Grange-Lab Manual provides information on all you want (or need) to know about working in the Grange Lab. […] … Read more →

# 교육용 프로그래밍의 이해

## by Boyoung Kim(202AIE06)

This is first homework for knowledge of programming for education. The output format for this document is bookdown::gitbook. […] Using the mpg dataset in the ggplot2 packages. replicate the plot below using the following settings … Read more →

# Aprendizaje automático de datos Colombianos (Machine Learning)

## by Danna Cruz

Este libro es una introducción aprendizaje automatico y aplicado a datos Colombianos […] Este libro fue construido para ayudar a entender algunas herramientas en R de Aprendizaje automático y aportar contenido en español. Además, queríamos aprovechar que actualmente, tenemos muchas bases de datos disponibles y de todo tipo. Quisiera fomentar el análisis de datos para todos los que quieran, es una práctica libre y cualquiera, con conocimientos básicos de R y Estadística, puede hacerlo. Fue escrito por Danna Cruz y Luis Alejandro Másmela y siempre acompañados por Cantelli. … Read more →

# Inferential Statistics and Complex Surveys

## by Cristóbal Moya

ZU course, Fall Semester 2020 […] Welcome to Inferential Statistics and Complex Surveys.This is a course about making inferences with surveys. What does it mean to make an inference? The simplest way to put it is saying that we will use things we know (data) to learn about things we do not know (parameters). This course aims: The objective of these materials is not to replace the readings, but to provide a more concise and, especially, applied summary of the course contents. Part I is about getting the tools ready for the course (R and RStudio) and learning their basics. Part II presents a … Read more →

# Legislação e normas da educação escolar indígena

## by Rafael Xukuru Kariri

Compilado de legislação e normas federais relacionados à educação escolar indígena […] Este é um pequeno compilado de legislações e normas federais relacionadas à EDUCAÇÃO ESCOLAR INDÍGENA. Nosso objetivo é apresentar um instrumento de consulta, simples e acessível, para todas as pessoas que trabalham na área ou para as que querem conhecer os principais balizadores da organização e do funcionamento da educação escolar indígena no âmbito federal. Dada as constantes alterações dos atos legais e normativos da área educacional, atualizaremos frequentemente esta publicação a fim de que reflita … Read more →

# Covid Analysis

## by nutjung_nutlc

Base line Covid Analysis … Read more →

# Introduction to R for Health Data Science

## by Matthew Sperrin

Introduction to R course, as used on MSc Health Data Science […] As a health data scientist, it is vitally important that you have a firm understanding of a statistical programming language, and that you can work in a clear, reproducible fashion. This course will provide you with the baseline skills to use R for health data science. Get you ‘up and running’ using R and RStudio on your machine. Introduce the basics of programming in R (a key skill for a health data scientist). Introduce good practices of workflows and reproducibility in data science. Enable you to develop your skills … Read more →

# Political Economy of Development

## by Alma A. Bezares Calderón

Guide for the Course ECON371- Political Economy of Development […] The objective of this compendium is to provide a study guide for the course: ECON371- Political Economy of Development. This guide does not replace any of the books used in the course nor the lecture notes. However, it will help you to go through it, so you can understand and critically think about the material that we will cover in the course. The best way to contact me is through email. I am usually very fast at responding to my students, but plan for a 24-hour delay in my response during the weekdays. I usually do not … Read more →

# Applet Codebook: CA Partners Daily MindLogger Diary v0.1

## by Mike X.

This is a codebook that documents all of the items in the current version of the CA Partners applet. […] …add info about the applet … Read more →

# IsoriX: Isoscape Computation and Inference of Spatial Origins using R

## by The IsoriX core Team

This book is the official documentation for the R package IsoriX. […] This documentation of the R package IsoriX is a work in progress. So far, only the chapters 1 to 5 are close to completion. … Read more →

# Introduction to Econometrics with R

## by Christoph Hanck, Martin Arnold, Alexander Gerber, and Martin Schmelzer

Beginners with little background in statistics and econometrics often have a hard time understanding the benefits of having programming skills for learning and applying Econometrics. ‘Introduction to Econometrics with R’ is an interactive companion to the well-received textbook ‘Introduction to Econometrics’ by James H. Stock and Mark W. Watson (2015). It gives a gentle introduction to the essentials of R programming and guides students in implementing the empirical applications presented throughout the textbook using the newly aquired skills. This is supported by interactive programming exercises generated with DataCamp Light and integration of interactive visualizations of central concepts which are based on the flexible JavaScript library D3.js. Read more →

# R-Notebook

## by gubiithefish

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] This is a book written in Markdown[1] Supported by Pandoc’s markdown[2] Pandoc’s Markdown supports all sorts of things, but most importantly: math equations in LaTeX[a^2 + b^2 = c^2] [X = \begin{bmatrix}1 & x_{1}\ 1 & x_{2}\ 1 & x_{3} \end{bmatrix} ] The bookdown package can be installed from CRAN or Github: [1] Xie, Yihui. 2020. Bookdown: Authoring Books and Technical Documents with R Markdown. https://github.com/rstudio/bookdown [2] … Read more →

# Matematika Bisnis

## by Bakti Siregar, S.Si., M.Sc

Buku ini dipersiapkan untuk menunjang perkuliahan Matematika Bisnis […] Program Studi Statistika Fakultas Science, Technology, Engineering, and Mathematics (STEM) Tangerang, Banten Info: siregarbakti@gmail.com Buku ini dituliskan untuk mempermudah proses pembelajaran Matematika Bisnis di Universitas Matana. Materi dikemas secara khusus dalam bentuk e-book yang mudah dipahami dan dapat dibaca melalui PC maupun Tablet anda dimanapun-kapanpun dengan akses internet. Adapun Materi yang akan dibahas dalam buku ini adalah sebagai berikut: Bakti Siregar adalah lulusan Universitas Sumatera Utara … Read more →

# 소방 빅데이터 업무편람

## by 소방빅데이터담당

소방 빅데이터 업무편람 […] 소방 빅데이터 담당은 소방서비스 혁신 빅데이터 TF를 시작으로, 2020. 7. 1.자 조직개편을 통해 신설된 조직입니다. 우리는 최신 빅데이터 기술과 IT 인프라를 활용하여 소방행정의 혁신을 위해 협업, 효율, 전문성을 추구합니다. 이 편람은 빅데이터 업무가 복잡, 다양하고 고도의 전문성이 요구되기 때문에 빅데이터 업무의 축적된 노하우를 체계적으로 기록하여 인력변동에 의한 업무 공백을 최소화하기 위해 발간하게 되었습니다. 주요 내용은 빅데이터 업무환경 구축, 빅데이터 분석 툴인 R, Qlik, Tableau, Q-GIS, Kepler 등 사용법을 담고 있습니다. 특히 데이터를 수집·정제하고, 분석리포트, … Read more →

# Text as Data para Ciências Sociais

## by Davi Moreira

Compilação de métodos e técnicas para análise automatizada de conteúdo […] A partir da produção de material para o curso Text as Data: análise automatizada de conteúdo que ministrei no MQ-UFMG em 2019 e no artigo que publiquei em coautoria com Maurício Izumi (Izumi and Moreira 2018), esse livro tem como propósito difundir nas ciências sociais e humanidades técnicas e métodos de análise automatizada de conteúdo usando a linguagem R. O principal objetivo do livro é ser tutorial prático de uso e aplicação de técnicas e métodos de análise automatizada de conteúdo na língua portuguesa através da … Read more →

# La Inteligencia Detrás De La Investigación

## by Jorge Andrade

Este libro es el resultado de más de una década de publicar en el blog de Market Variance®, temas relacionadas a la investigación de mercados; principalmente de estadística y de marcas. Y de una selección de sus artículos, que a nuestro juicio son los más útiles, amenos y divertidos… […] … Read more →

# Introductory Seminar in Korean Studies

## by Wayne de Fremery

This book contains the texts to be annotated fo the Introductory Seminar in Korean Studies at Sogang University, 2020. […] The texts on this website are formatted in HTML and they will adapt to your screen size. So, you can easily read them on a desktop computer, tablet, or mobile phone. Use the menu icon on the left to access the table of contents and the < icon on the right to open the annotation sidebar. In order to annotate the texts with Hypothesis, you need to sign up at this link: https://hypothes.is/signup Once you have signed up and confirmed your email, log in using the sidebar … Read more →

# RMarkdown for Scientists

## by Nicholas Tierney

A book created for a 3 hour workshop on rmarkdown […] This is a book on rmarkdown, aimed for scientists. It was initially developed as a 3 hour workshop, but is now developed into a resource that will grow and change over time as a living book. This book aims to teach the following: There are many great books on R Markdown and it’s various features, such as “Rmarkdown: The definitive guide”, “bookdown: Authoring Books and Technical Documents with R Markdown”, and “Dynamic Documents with R and knitr, Second edition”, and Yihui Xie’s thesis, “Dynamic Graphics and Reporting for Statistics”. So … Read more →

# Predictive Models of English Premier League Goal Scoring

## by An Honors Thesis submitted in partial fulfillment of the requirements for graduating with Departmental Honors in Mathematics

Predictive Models of English Premier League Goal Scoring […] The English Premier League is well-known for being not only one of the most-watched football leagues in the world but also one of the toughest competitions to predict. The purpose of this research project was to look at goal scoring data of the English Premier League and use statistical modeling to predict Premier League match results. This research will attempt to determine whether goal scoring in the Premier League can be modeled by a Poisson process, specifically, the relationships between the number of goals and the Poisson … Read more →

# Time Series

## by Gary Napier

Time Series […] On completion of the course students should be able to independently analyse time series data to address any questions of interest. This involves By the end of the course students should be able … Read more →

# HR 분석 실무자를 위한 R Tips

## by 김광태

R Tips는 HR Analytics 입문자를 위해 제작했습니다. […] R Tips는 HR Analytics 를 현업에 적용하고자 하지만, 어떤 것부터 시작해야 할지 막막한 입문자분들께 조금이나마 도움을 드리기 위해 제작하고 있습니다. R 프로그램을 활용하여 HR Analytics를 진행하실 때 참고하실만한 가장 기초적인 내용으로 구성되어 있으며, 작성하는 저 역시 배우는 단계에 있기에, 부족한 점이 많이 있습니다. 혹시 오류가 있거나, 보기 불편하신 내용이 있으신 경우 언제든지 말씀 부탁 드립니다. 향후 계속해서 내용을 보완하면서, 도움이 되는 컨텐츠 공유 드리도록 하겠습니다. R 설치 및 기본적인 문법에 대해서는 알고 계신다는 전제 하에 Tip을 … Read more →

# Applied Statistics

## by Prof. Dr. Carsten Sauer

Applied Statistics […] WELCOME … Read more →

# Dad-joke University of Humour (DUH)

## by Pastor Panda (Vice Chancellor)

Training for new Dads in the area of dad-jokes. […] These web pages are designed to help new Dads work through the material to learn the art and science of Dad-jokes. Importantly, understand that a joke becomes a dad joke when it becomes apparent1. That was a Dad joke right … Read more →

# R Programming for Data Science

## by Roger D. Peng

The R programming language has become the de facto programming language for data science. Its flexibility, power, sophistication, and expressiveness have made it an invaluable tool for data scientists around the world. This book is about the fundamentals of R programming. You will get started with the basics of the language, learn how to manipulate datasets, how to write functions, and how to debug and optimize code. With the fundamentals provided in this book, you will have a solid foundation on which to build your data science toolbox. Read more →

# Season 3 Stlats EDA

## by From The Void

Season 3 Stlats EDA […] We’re going on an adventure! The fixings for this adventure are currently as follows: Currently, I am throwing out a bunch of numbers. I will add a bit more detailed commentary when I feel satiated by the data. TODO: INCORPORATE SEASONAL DATA IN A MORE AUTOMATED MANNER. ADD SEASONAL COMPARISON … Read more →

# Fundamentos de Investigación II

## by Luis Eudave

Apuntes de la asignatura de Fundamentos de Investigación II … Read more →

# EESA01 Laboratory Manual: Introduction to Environmental Science

## by Andrew Apostoli and Adam Martin

A lab manual for students of Environmental Science […] This book is an open source document. The book is built using the bookdown package (Xie 2019) in R, and pandoc. We cordially invite you to provide us with any feedback or comments that you may have by sending an email to andrew.apostoli@mail.utoronto.ca or adam.martin@utoronto.ca. Please note that any contributions must be licensed under the Creative Commons Attribution-ShareAlike 4.0 International License. For more information, see “License” (1.2) below. This project is coordinated by Andrew Apostoli, and Adam Martin. Our two … Read more →

# Introduction to R

## by Gary Napier

Introduction to R […] In this induction session we introduce the statistical computer software R, which can be used to undertake statistical analyses. Statistical analyses are conducted using a computer because it is much quicker and makes fewer errors than a human. There are numerous programs that can be used for statistical analysis, including; Excel (limited), Minitab, R, SAS, SPSS, STATA. In this course we use R because it: The one downside of using R is that the user-interface is not very user-friendly, so a user-interface called RStudio was developed. Thus, the software you will use … Read more →

# A Biologists Journey Into Bayesion Inference

## by Matthew Whalen

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. … Read more →

# behaviouR: R package and tutorials for teaching of fundamental concepts in behavior and ecology

## by Dena J. Clink

This is the location for all of the tutorials associated with the behaviouR R package. […] To get started you should download the package from Github using the following code. Note: If you have never used R before I highly recommend that you check out the primers here: https://rstudio.cloud/learn/primers. You can navigate using the tabs at the left and/or the … Read more →

# Official Guidance：Understanding Surge

## by Surge Networks Inc.

Official Guidance：Understanding Surge […] Surge is a networking tool on iOS and macOS platforms with four core capabilities. Takeover: You can take over the network connection sent by the device. Surge supports both proxy service and virtual NIC takeover. Processing: You can modify the network requests and responses that have been taken over. This includes URL redirection, local file mapping, custom modification using JavaScript, and many other methods. Forwarding: You can forward the taken over network requests to other proxy servers. This can be global forwarding or with a flexible rule … Read more →

# Surge 官方中文指引：理解 Surge 原理

## by Surge Networks Inc.

Surge 官方中文指引：理解 Surge 原理 […] Surge 是一个在 iOS 和 macOS 平台上的网络工具，其核心能力有四项： 接管：可以将设备发出的网络连接进行接管。Surge 支持代理服务和虚拟网卡两种方式接管。 处理：可以对被接管的网络请求和响应进行修改。包括 URL 重定向、本地文件映射、使用 JavaScript 自定义修改等多种方式。 转发：可以将被接管的网络请求转发给其他代理服务器。可以是全局转发，也可以按照非常灵活的规则系统确定出口策略。 截获：可以截获并保存网络请求和响应的具体数据，同时可对 HTTPS 加密流量进行 MITM 解密。 以上四项能力构成了 Surge 的核心工作流。但 Surge 的功能还不仅限于以上四点。比如你可以自定义 DNS … Read more →

# Manual for Databank

## by Acx Dep. EC

This manual will give a detailed introduction of ali-databank and show you how to extract data from it. […] 这是数据银行和策略中心面板取数的 “说明手册”. 本说明中使用的相关选项、标签、指标的名词和定义均来自阿里品牌数据银行提供的用户操作界面，本手册并不知晓确定名词和指标量化的过程，如果你想了解请前往阿里数据银行的官方文档；这份手册的初版由 安客诚电商分析部门的小伙伴共同编写，目的是介绍数据后台功能和数据处理程序，促进数据分析工作者间的学习和交流。欢迎使用者针对手册内容提供建议。 编写和演示本手册时使用了开源语言R和RMarkdown、 … Read more →

# R for Fundamental Data Analysis in Market Research

## by Sujata Ramnarayan

Everything you need (and nothing more) to begin to learn R for fundamental data analysis in Market Research […] … Read more →

# A policy tool for COVID-19 workplace mitigation strategies

## by Jerome Levesque and David Maybury

This manual explains the web application based on the paper: A model of COVID-19 propagation based on a gamma subordinated negative binomial branching process, by Jerome Levesque, David Maybury, and R.H.A. David Shaw. […] Assessing the risk of Covid-19 infections in a workplace setting involves evaluating the propagation of the disease among employees. Propagation depends on a large number of variables, including employee interactions in the larger community, adherence to social distancing policies, local environmental factors, demographics, and workplace policies. Given the enormous … Read more →

# 数据分析残卷

## by 于淼

数据分析世界的清明上河图 […] 学习都是从模仿开始的，而模仿则意味着不加区别的接受，若是混口饭吃，自然也就够了，但模仿多了便能看到这知识表象下的东西。如果还能提炼一下，变成了自己的经验，各种经验互相联系影响，便有了理论。所以学习大都从知识点开始，而以形成一家之言为终，倘若这一家之言可以得到别人的认可，知识就开始传承了。且不论有多少东西会被反复发现发明出来，但是世界在某种程度上是可知的便是智慧生物生存的福利。 就数据分析而言，我自学过很多教材，可以说不同门派间手段差异非常大，但总又妄想一统江湖，所以便有了这份笔记来整合。不论最终的完成度如何，这都只会是一本残卷，因为这世界总有未知，也因此总有希望。 … Read more →

# Variáveis Aleatórias

## by Rosineide da Paz

Variáveis Aleatórias […] Na teoria de probabilidades é levando em consideração um experimento aleatório. Esse tipo de experimento fornece resultados que não podem ser previstos com certeza antes de sua realização. Para tais experimentos o conjunto que contém todos os possíveis resultados é chamado de espaço amostral, geralmente denotado por (\Omega). Qualquer subconjunto do espaço amostral é dado o nome de evento, aos quais pode ser associada uma medida de probabilidade. Como o conjunto das partes do espaço amostral, (\mathcal{P}(\Omega)), contém todos os eventos, ou seja todos os … Read more →

# DondeRs Group

## by Henrik Eckermann

This bookdown-project contains introductory material to learn the R programming language […] Instructor: My name is Henrik. I am a PhD-candidate in the Developmental Psychobiology lab group at the Donders Institute in Nijmegen. I find that the R programming language is an extremely useful tool for Scientists, especially (but not only) for data analysis and visualization. I can help you learning the basics of the R programming language and how to approach learning a programming language so you can advance in learning whatever is needed in your specific field. Target audience: Anyone at … Read more →

# Mayapple analyses

## by The Geber Lab

This is a compiliation of our analyses of the mayapple dataset. The output format for this example is bookdown::gitbook. […] We are analyzing the data from the experiment Monica conducted with mayapple from 1990-1992. Here is a brief summary of the experiment, and the questions/hypotheses we are addressing/testing with these analyses. Mayapple is a common rhizomatous perennial of eastern deciduous forests. It has a sympodial rhizome system in which an annual shoot is borne above ground only on the terminal (youngest) rhizome segment. At the same time, it maintains older rhizome segments (up … Read more →

# oSCR vignettes

## by Chris Sutherland, Dan Linden & Gates Dupont

This bookdown is where we will collate oSCR vignettes. […] The goal of this bookdown is to provide a complete overview of the theory and methodology of two topics (at this point) within spatial capture-recapture: More broadly, by providing them with a thorough discussion of these advanced topics, we aim to empower our users to apply these tools in their own research. The main function in oSCR performs likelihood analysis of several classes of spatial capture-recapture (SCR) models. There are also a suite of helper functions for formatting and processing data objects. Here are a few of the … Read more →

# Espaço Amostral e Eventos

## by Rosineide da Paz

Espaço Amostral e Eventos […] Para falar em probabilidade é necessário antes definir o conceito de experimento aleatório. A partir dos experimentos aleatórios podem ser definidos os conceitos de: … Read more →

# Como Começar na Calistenia - Guia Prático

## by Pinho Júnior

Aprenda como dar os primeiros passos para obter resultados concretos na calistenia. … Read more →

# Interactive Teaching Techniques

## by Teaching & Learning Centre

Collection of interactive teaching techniques. […] Welcome to the ebook on interactive teaching techniques. This document is based on the Interactive Techniques PDF of Kevin Yee. Based on the creative commons licence the Teaching & Learning Centre of the University of Amsterdam is maintaining and expanding this ebook version. The full credits can be found at the end of this ebook. These techniques presented in this ebook have multiple benefits: the instructor can easily and quickly assess if students have really mastered the material (and plan to dedicate more time to it, if necessary), and … Read more →

# Causal Inference

## by Gabriel Carrasco

Final project Causal Inference […] The study aims are two-fold: … Read more →

# MSU PhD Roles and Policy Manual

## by Industrial and Organizational Program Faculty

This is the policy manual for the Montclair State University PhD program in Industrial and Organizational Psychology. The output format for this manual is bookdown::gitbook. […] As the I/O Doctoral Program goes live, we are in need of a handbook detailing all the key procedures and policies for the I/O doctoral and MA program experience. The goal is to have a final draft of the handbook by December 1st 2020, or the deadline for our first official doctoral application cycle. We need to have formal procedures for the following areas: (1) Doctoral Student Selection, Chapter 2, (2) I/O Program … Read more →

# UDWQ wasteloadR R tools

## by Jake Vander Laan, Utah Division of Water Quality

UDWQ wasteloadR R tools […] This package contains a set of tools designed to facilitate wasteload development at Utah … Read more →

# Project - Report

## by Vuignier, Cédric and Lovey, Gaëtan

Project - Report […] Overview, motivation and related work Nowadays, we are living in a society where electricity is a necessity good. We cannot imagine a life without it, we are totally aware that this kind of energy is constantly present in our daily routines. It contributes a lot to our life quality. During our bachelor’s thesis, we worked on a subject in the field of electricity and especially on the theme of electric mobility and on the development of a business model for the generation of solar energy. We are really interested in the subject of energy and power generation. We would … Read more →

# Using Data Visualization & Storytelling to Gain Organizational Buy-in

## by Jake Miter

Guidance for I-O Psychologists on presenting data to influence organizational decision making […] A special thanks to Rob Stilson, Ph.D., for his guidance and advise in writing this white … Read more →

# Macroeconomics

## by Rob Hayward

These are our macroeconomic notes […] These are our lecture notes for the (Carlin and Soskice 2015) textbook. The notes are no substitute for the text which is available in the University of Brighton library. The notes summarise the chapters and add some exercises and links to activities that should assist your understanding of these key macroeconomic topics. There are three broad sections: The New Keynesian Model that brings together aggregate demand, supply and the central bank policy response. The financial system and the global financial crisis that discusses frictions and the … Read more →

# My Data Science Notes

## by Michael Foley

This is a compendium of notes from classes, tutorials, etc. that I reference from time to time. […] These notes are pulled from various classes, tutorials, books, etc. and are intended for my own consumption. If you are finding this on the internet, I hope it is useful to you, but you should know that I am just a student and there’s a good chance whatever you’re reading here is … Read more →

# Exercises for ‘Introduction to The New Statistics’

## by Peter Baumgartner

This website is a companion book for Introduction to the New Statistics (abbreviated itns). It offers interactive exercises developed mostly in H5P but also with learnr and shiny. It also contains an R tutorial for the end-of-chapter exercises of itns. […] This website is an (inoffical) companion book for Introduction to the New Statistics (abbreviated itns). It offers GitHub resources of this book can be found in two places: I have built the interactive exercises in this book with H5P.org. H5P stands for HTML5 Package, a free and open-source content collaboration framework based on … Read more →

# Modelación basada en Agentes

## by Alfonso Meléndez

Modelación basada en Agentes […] El científico no estudia la naturaleza porque le es útil; la estudia porque se deleita en ella y se deleita porque es hermosa. Si la naturaleza no fuera hermosa, no valdría la pena conocerla, y si la naturaleza no valiera la pena conocerla, no valdría la pena vivirla. Por supuesto, aquí no hablo de esa belleza que golpea los sentidos, la belleza de las cualidades y las apariencias; no es que yo subestime tal belleza, lejos de eso, pero no tiene nada que ver con la ciencia; Me refiero a esa belleza más profunda que proviene del orden armonioso de las partes, … Read more →

# BioNBB 2210 Summer 2020 Computer Labs

## by Dena J. Clink

This is the location for all of the tutorials for our Intro to Behavior Computer Labs. […] You have reached the location for all of the tutorials for the computer labs for Summer 2020. We will be completing all assignments using Rstudio Cloud (www.rstudio.cloud). Please see the link on Canvas for details on how to setup your RStudio Cloud account. Note: If you have never used R before I highly recommend that you check out the primers here: https://rstudio.cloud/learn/primers. You can navigate using the tabs at the left and/or the … Read more →

# Introducción a la Automatización Industrial

## by Alberto Brunete, Pablo San Segundo y Rebeca Herrero

Un libro de introducción a la automatización industrial para alumnos de ingeniería. […] ISBN: 978-84-09-22291-9 Introducción a la automatización industrial by Alberto Brunete, Pablo San Segundo, Rebeca Herrero is licensed under a Creative Commons Reconocimiento-CompartirIgual 4.0 Internacional … Read more →

# Causal Inference in Education

## by Anthony Schmidt

Causal Inference in Education […] It is an R-based book of data analysis exercises related to the following three causal inference … Read more →

# Talleres NetLogo Modelación basada en Agentes

## by Alfonso Meléndez

Talleres NetLogo Modelación basada en Agentes […] … Read more →

# Applet Codebook: HBN EMA for Mindlogger v0.32

## by Mike X.

This is a codebook that documents all of the items in the current version of the HBN EMA Applet for Mindlogger. […] This MindLogger applet collects daily information on your physical and mental health. You will be asked a set of questions multiple times a day. We will record the information and share it with you and our researchers so we can look for patterns in the data. Answer these questions to the best of your ability. It is okay if you don’t know the answers to some of them! Thank you for your participation! These questions were constructed as part of a collaboration between the … Read more →

# Should I Stay or Should I Go? Retaining A World-Class Workforce at Thrive Media

## by Jake Miter

Solutions and Return on Investment for Implementing Employee Retention Initiatives […] … Read more →

# GEU Constitution and Bylaws

## by Graduate Employees Union, AFT/AAUP LOCAL 6666

GEU Constitution and Bylaws […] Adopted February 23, 2018 Last amended May 2, … Read more →

# 資料科學與R語言

## by 曾意儒 Yi-Ju Tseng

介紹如何使用R語言完成資料讀取、處理、分析與呈現，以及大數據技術與R的整合 […] 本書介紹如何使用R語言完成資料讀取 (檔案、透過API擷取或爬蟲)、資料清洗與處理、探索式資料分析、資料視覺化、互動式資料呈現 (搭配Shiny) 與資料探勘等，並介紹R與Hadoop Ecosystems介接方法。 資料探勘章節尚未完成，epub版本格式微調中。 如要一次安裝所有本書會使用到的套件，可在R內執行以下程式碼： 本書為長庚大學資訊管理學系 大數據分析方法課程教學使用書籍，並可搭配YouTube平台上的教學影片參考使用，影片閱讀清單詳見本書最末章節Ch 13 教學影片資訊。 如果您想修改文字或範例，歡迎透過此連結或是透過GitHub issue提供建議與回饋。 … Read more →

# R for Data Science: Exercise Solutions

## by Jeffrey B. Arnold

Solutions to the exercises in “R for Data Science” by Garrett Grolemund and Hadley Wickham. […] If you find any typos, errors, or places where the text may be improved, please let me know. The best ways to provide feedback are by GitHub or hypothes.is annotations. Opening an issue or submitting a pull request on GitHub Adding an annotation using hypothes.is. To add an annotation, select some text and then click the on the pop-up menu. To see the annotations of others, click the in the upper right-hand corner of the page. This book contains the exercise solutions for the book R for Data … Read more →

# Experimental Design and Process Optimization with R

## by Gerhard Krennrich

Experimental Design and Process Optimization with R […] The present document is a short and elementary course on the Design of Experiments (DoE) and empirical process optimization with the open-source Software R. The course is self-contained and does not assume any preknowledge in statistics or mathematics beyond high school level. Statistical concepts will be introduced on an elementary level and made tangible with R-code and R-graphics based on simulated and real world data. So, then, what is DoE and why should the reader become familiar with the concepts of DoE? Very briefly, DoE is the … Read more →

# The 3-Season Run That Immortalized Russell Westbrook and the Title “Walking Triple-Double”

## by Quang Nguyen Data Science Capstone Spring 2020

The 3-Season Run That Immortalized Russell Westbrook and the Title “Walking Triple-Double” […] The purpose of this project was to look at Russell Westbrook’s infamous last 3 seasons with the Oklahoma City Thunder, where he averaged a triple-double in each of those years. We first looked at some notable triple-double box scores, before verifying the relationships between whether a triple-double is recorded and several categorical and quantitative variables. It turns out to be that game result, opponent’s conference, minutes played, and plus/minus are helpful predictors for triple-double, … Read more →

# Marrow’s Compendium of Dragonslaying

## by Marrow , Heartseeker-US

This is a Fury Warrior Guide for World of Warcraft Classic. […] This is a guide on how to play a Fury Warrior in World of Warcraft Classic. It is a work in progress and a living document. All of the information contained within reflects what is best understood as of today, and some of is subject to change as more about the game is discovered. More importantly, this is a guide for players who want to push the envelope of their class, and be the best they can be. That is not the playstyle of every player, nor am I advocating it should be. Ultimately, you should pick your race and spec so that … Read more →

# R Programming Tutorial

## by Thieu Nguyen

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] R is a programming language and software environment for statistical analysis, graphics representation and reporting. R was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and is currently developed by the R Development Core Team. R is freely available under the GNU General Public License, and pre-compiled binary versions are provided for various operating systems like Linux, Windows and Mac. This programming language … Read more →

# R for Surveys in Evaluation

## by Corey Pembleton

This is a minimal example of using R and limesurvey to develop surveys, and options for presenting survey results […] Survey research in program evaluation is an efficient way to collect data from a wide range of participants, and is a field which has been used extensively in evaluation for decades. Surveys, understood to be “fundamentally a matter of asking a sample of people from a population a set of questions and using the answers to describe that population” Fowler (2014), are fundamentally important to program evaluation. I hope that this book can act as something of a guide for … Read more →

# Herramientas de visualización interactivas para la toma de decisiones en una startup tecnológica.

## by Juan Ramos Hernández, Grado en Administración y dirección de Empresas

Herramientas de visualización interactivas para la toma de decisiones en una startup tecnológica. […] Durante mi etapa como estudiante de Administración y Dirección de Empresas en la Universitat Politècnica de València (UPV) he sentido particular interés por las asignaturas más analíticas y tecnológicas de la carrera. Más específicamente, he intentado aprovechar las oportunidades que nos ha otorgado la universidad de aprender a utilizar herramientas que extienden las capacidades del ser humano y que, una vez habiendo superado la curva inicial de aprendizaje, dotan al usuario de un abanico … Read more →

# Data Science for Public Health Economic Evaluation

## by Robert Smith

This is a teaching tool in progress […] This book brings together a number of courses created by researchers at the School of Health and Related Research at the University of Sheffield who work in the intersection of health, data science, decision science and economics. It was created with the aim of aiding collaboration, reproducability of research and promoting open science. The hope is that by working through this book and applying the methods in collaborative research endevours projects will be more efficient, research outputs will be more useful, and future collaboration easier. The … Read more →

# Characterizing Disease with the Retinal Code

## by Mishek Thapa

Abstract […] This project’s aim is to understand the extent to which signaling by retinal ganglion cells (RGCs) is affected by degeneration. Rod photoreceptor death is a form of retinal degeneration that alters the wiring of the retina and can eventually leads to blindness. As the retina loses the ability to transmit visual scenes to the brain, there are changes in the signaling across the light spectrum that the human eye detects. A potential measure for visual signaling is the information content that the RGCs sends through their action potentials and the precision with which they send … Read more →

# How to be civil about political loss – The importance of good loser messages

## by sveinungarnesen78

How to be civil about political loss – The importance of good loser messages […] This is the Supplementary Material for the manuscript entitled How to be civil about political loss – The importance of good loser messages. The study comprises three survey embedded experiments; one video vignette experiment in Norway, one text vignette experiment in Sweden, and one conjoint experiment in Norway. The experiment for Study I was fielded in Sweden in the fall of 2017 and spring of 2018 as an add-on to the fifth wave of the European Values Survey (EVS, PI Susanne Wallman Lundåsen). EVS is based on … Read more →

# STAT 7: Discussion Section Materials

## by Jizhou Kang

This book contains all materials for my TA STAT 7: Statistical Methods for the Biological,Environmental, and Health Sciences at UCSC, Winter 2020. […] Course Title: Statistical Methods for the Biological, Environmental, and Health Sciences Instructor: Dr. Rajarshi Guhaniyogi TA: Jizhou ‘Joe’ Kang Bio: I’m a first year Ph.D. student at our statsitics department. This is my second time serving as TA for STAT 7, and fourth time as TA. Contact Info: Email: jkang37@ucsc.edu; Office: E2 516 (by appointment only). Office Hour: Thursday 5:00 pm - 6:00 pm at BE 118 Discussion Section: Section A: … Read more →

# Webscraping med R

## by Solveig Bjørkholt

Webscraping med R […] Dette kurset gir en innføring i hva webscraping er, hvordan det fungerer, hva vi må tenke på når vi webscraper, og hvordan man kan hente ut informasjon fra nettsider gjennom R. Vi skal også ta en liten titt på hvordan man kan rydde i ustrukturert data ved å bruke R, siden data fra nettsider gjerne er ustrukturert eller semi-strukturert. Kurset har to deler, en praktisk og en teoretisk: Teoretisk del: Praktisk … Read more →

# 数据科学与 R 语言

## by 黄湘云

数据操作、数据分析、数据建模、动态报告和数据可视化 […] 这本书还处于一个很早期的阶段 GNU R 是发布在 GPL-2/3 下的开源自由软件，意味着只要你遵循该协议，就可以自由地获取、修改和发布R 源代码，R 本身的这种开源自由的属性，决定你可以免费地使用它。《The Art of R Programming》的作者 Norm Matloff 给出使用 R 语言的四个优势：它是统计学家开发的，也是为统计学家打造的；内建的矩阵类型和矩阵操作非常高效；不管是来自基础 R 还是 CRAN 上的绘图包，都提供强大的绘图功能；还有优秀的并行能力1，最近他更是在数据科学中全面比较了 R 与 Python2。关于 R 语言和 Python 语言的对比，网络上充斥着很多的文章，除了赞扬，还有表示反对的声音，如 R语言采用的对 GPL 协议3，甚至有人列举了逃离 R 语言阵营的10大上榜理由4，datacamp 提供了一份较为完整的对比图，仅供参考5。如果你是学统计的学生或者数据分析师，我都建议你先学习 … Read more →

# Data Science con R

## by Autor: Mg. Daniel Paredes Inilupu

Teoría y práctica para ingresar al mundo del análisis de datos y predicciones con R, por Daniel Paredes […] Este libro ha sido creado a partir de notas que me facilitaron el aprendizaje y van desde lo más básico hasta un nivel intermedio-avanzado. He dedicado más de 700 horas a crear este libro. Puedes reconocer este esfuerzo comprando la versión en pdf de este libro en leanpub. Con ello no solo accederás a todos las actualizaciones futuras, sino también accedes por 3 meses a preguntas directamente con el autor de temas del libro o de cómo aplicarlo al trabajo. La version en web en … Read more →

# Handbook for Building and Teaching Online Courses

## by Martin Schedlbauer Khoury College of Computer Sciences Northeastern University Boston (USA)

Notes and tutorials on building online courses. […] This handbook is still in draft form and many chapters are unfinished or in a “notes state”. Chapters, sections, and practices are filled in as need arises. This book summarizes my experiences building and teaching online courses at Northeastern University’s Khoury College of Computer Sciences. I wrote this handbook for faculty new to teaching online and new to building courses for online delivery. The writing of this handbook was accelerated when the COVID-19 pandemic forced all classes to go into an online or remote instruction mode. It … Read more →

# The Covid19R Project Documentation

## by Rami Krispin, Amanda Dobbyn, Jarrett Byrnes

The Covid19R Project Documentation […] The Covid19R Project is an attempt to provide a set of standards for creating tidy Covid-19 related data distribution packages as well as a centralized method for then redistributing the data sets themselves within R. We’re trying to build a community with interoperable data standards in order to allow anyone using R to derive novel insights about this. global pandemic. In the documentation for the Covid19R Project, we detail what the project is, how to be a part of it, and what minimal tidy standards we want data packages to conform to in order to … Read more →

# Móðir og Barn

## by Brynjólfur gauti Jónsson

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] Eftirfarandi breytulista sótti ég úr word-skjalinu Breytulisti Athugasemdir EL GG BT.docx. Það hefur hausinn: Næring ungbarna og heilsa barna 0-12 ára: vöxtur, sýkingar, astmi og ADHD Allavega, þá styð ég mig við það skjal þegar ég skoða hvort gögnin séu … Read more →

# Study design for spatial capture-recapture

## by Chris Sutherland

This book accompanies of the R package oSCR with a specific focus the design of spatial capture-recapture studies and details of the oSCR function scrdesignGA(). […] Why we did this The main function in oSCR does likelihood analysis of several classes of spatial capture-recapture (SCR) models. THere are also a suite of helper fnctions for formatting and processing data objects. Here are a few of the things that motivated our development of the package: So, using this book of course requires that the oSCR package is loaded: But you will also need a few others: If you have any issues or … Read more →

# Time Series Analysis

## by Rushad Faridi, PhD

Time Series Analysis … Read more →

# Quantitative Methoden für Wirtschaftswissenchaften

## by Prof. Dr. Ralf Kellner

Quantitative Methoden für Wirtschaftswissenchaften […] Die Mehrheit der Auswertungen des Kurses finden Sie in diesem digitalen Buch. Um die Codes nachvollziehen zu können, sollten Sie sich vorab mit R mit Hilfe des R-Kurses vertraut machen. Eine gute erste Übung ist es, die Codes Zeile für Zeile zu reproduieren und zu verstehen, was in welcher Zeile passiert. Weitere Informationen zum Umgang mit Markdown finden Sie in den … Read more →

# UI-UX

## by E.Major Taiwan

學習並瞭解網頁設計與網頁服務的UI-UX，最終結合社會科學與科技技能，運用所學發展跨領域的服務項目。 […] 每一章架構如下： 學習主題列點 各主題內容 課後練習 每章針對學習主題內容錄製20-30分鐘講解影片。（因為影片不長，每章內容要求精簡，但課後練習可以有兩題，一題簡單，一題難要進一步自學找答案。） 使用自己的電腦或系上多媒體室。 錄製技術採傳承製：前一章在錄時，下一章的人在旁協助或觀看。 上傳Vimeo 每週五只針對課後練習討論，成員（含USR人員）在上課前要自己看完影片及做好課後練習 練習結果請放在自己的Github練習repo裡（練習repo由https://github.com/tpemartin/uiux-inclass-practice fork回去） … Read more →

# Time Series for Beginners

## by Jake Esprabens, Ari Arango, Joshua Kim

This is a short guide to learning the basic concepts of time series while also implementing these procedures in R. […] This book is created with an objective to clearly explain the basics of time series analysis. The inspiration came from taking a time series course and constantly getting confused by the theory. Often, time series can be a tricky subject; therefore, this book will try to explain the essentials of time series using R. Time series is an immense subject with so much to it; therefore, we won’t be able to cover all of it in this book. We will solely focus on what we believe is … Read more →

# Catastro. Tratamiento de datos públicos con R

## by Sergio Berdiales Nortes

Catastro. Tratamiento de datos públicos con R […] El objetivo de este proyecto es describir los pasos necesarios para obtener y tratar información publicada por el … Read more →

# Ready for R: Notebook Reference

## by Aaron Coyner and Ted Laderas

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] This course introduces you R by working through common tasks in data science: importing, manipulating, and visualizing data. R is a statistical and programming computer language widely used for a variety of applications. Before proceeding with these training materials, please ensure you have an RStudio.cloud account and can see the workspace. This is a searchable website that serves as a reference for the Ready for R course. This gitbook is not meant to be a … Read more →

# R Training for SSDS

## by Amy L Johnson

R Training for SSDS […] This document provides an introduction to R. It was created by Amy L. Johnson for use by Stanford Library’s Social Science Data and Software (SSDS) group. Most of this introduction was pulled from the book R for Data Science: https://r4ds.had.co.nz/. Some material was also adapted from the Wellesley College Quantitative Analysis Institute edX R-training, available at https://www.wellesley.edu/qai/onlineresources#Online%20Modules. … Read more →

# EXMD 634: Introduction to Quantitative Methods in Experimental Medicine

## by Nandini Dendukuri, McGill University

EXMD 634: Introduction to Quantitative Methods in Experimental Medicine … Read more →

# LCC 2020 Book

## by Andres Suárez Mediavilla

Este es un book que contiene los ejercicios y apuntes realizados en el curso 19/20 en relacion a la asignatura Laboratorio de Computación Científica. […] Este book esta compuesto de ejercicios resueltos tanto en los laboratorios como en casa. Incluye tambien un resumen de los aspectos mas importantes de R, apuntes tomados en clase y funciones que serán de utilidad a lo largo del curso y que se irá actualizando conforme se vean nuevos … Read more →

# 滴滴实验白皮书

## by 统计科学部

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] 这是陈天威的一个test This is a sample book written in Markdown. You can use anything that Pandoc’s Markdown supports, e.g., a math equation (a^2 + b^2 = c^2). The bookdown package can be installed from CRAN or Github: Remember each Rmd file contains one and only one chapter, and a chapter is defined by the first-level heading #. To compile this example to PDF, you need XeLaTeX. You are recommended to install TinyTeX (which includes XeLaTeX): … Read more →

# Regression- und Datenanalyse

## by Prof. Dr. Ralf Kellner

Regression- und Datenanalyse […] Zunächst wollen wir ein paar allgemeine Aspekte der Wahrscheinlichkeitsrechung und der Schätzung betrachten. Fasst man Wahrscheinlichkeiten frequentistisch auf, ist dies wie sie als relative Häufigkeiten für ein Ereignis aufzufassen, wenn die Wiederholung von Zufallsvorgängen sehr (undendlich) groß ist. Stellen wir uns einen Münzwurf vor. (X_n) bezeichnet die Anzahl an Kopfwürfen bei (n) Münzwürfen. Nach jedem Münzwurf betrachten wir (\frac{x_n}{n}) und sehen, dass sich dieser Anteil mit steigender Anzahl an Münzwürfen der theoretischen … Read more →

# Laboratorio de Computación - Bookdown

## by Ignacio Pascual Gutiérrez

En este libro expondré todos los conocimientos aprendidos en la asignatura Laboratorio de Computación Científica. […] En este libro expondré todos los conocimientos aprendidos en la asignatura Lab de Computación Científica divididos en 2 bloques: El Lenguaje R y Anásis de datos. Además, dentro de estos bloques estarán todas las prácticas ordenadas (voluntarias y obligatorias), mis exámenes resueltos y los apuntes de las clases presenciales, con una interfaz estructurada y ordenada. Utilizamos el lenguaje R para los fragmentos de código y el formato RMarkDown para la mejor visualización de … Read more →

# HOW TO PROTEST FROM HOME

## by taleedsabawi

HOW TO PROTEST FROM HOME […] Looking for ways to push for reform of policing practices while still staying at home?? When local police departments were first created in the mid-1800s, the justification for keeping them under local control was that citizens could hold the police agency accountable. The theory was that citizens could have input on the operations of the police agency through their local officials. This guide is meant to help Americans of all ages understand how to pressure law enforcement officials to reform the ways in which they engage with Americans through the use of the … Read more →

# The jamovi quickstart guide

## by Jonas Rafi

The jamovi quickstart guide features a collection of non-technical tutorials on how to conduct common operations in jamovi. This includes how to conduct independent samples t-test, paired samples t-test, one sample t-test, ANOVA, repeated measures ANOVA, factorial ANOVA, mixed ANOVA, linear regression, and logistic regression. Additionally, the tutorials cover the use of csv files, wide data format, and setting the data type in jamovi. Read more →

# Principles of Computational Information Science

## by Martin Schedlbauer / Northeastern University / Ars Doceo

Lectures notes for an introductory course on Computational Information Science. […] This is a set of lecture notes for Principles of Computational Information Science written in Markdown and intended for students in Northeastern University’s IS2000 course. m.schedlbauer@neu.edu↩ … Read more →

# Property Class Spring 2020

## by Dr. Taleed El-Sabawi

Property Class Spring 2020 […] [IMPORTANT: If you have any TECHNOLOGICAL issues with this website or the assignments, please contact YOUR PROFESSOR NOT Elon IT.] [Note: If a word appears blue on the website that means that you can click on it and it will take you to a website or it will allow you to download something.] VIEW: This welcome video. READ: Read the course syllabus. DO: Let’s play a game to see how closely you read the syllabus! Click here. Make sure to type your name so I know that you played it! You get credit just for trying. After you have completed the challenge above, give … Read more →

# Applied Causal Analysis (with R)

## by Paul C. Bauer

Script for the seminar Applied Causal Analysis at the University of Mannheim. […] The present document serves both as slides and script for the MA seminar Applied Causal Analysis. This seminar is currently taught by Paul C. Bauer at the University of Mannheim (Spring 2020). The material was/is being developed by Paul C. Bauer and Denis Cohen and will constitute the basis for a book entitled “Applied Causal Analysis with R” under contract with CRC Press/Chapman & Hall. There will both be a print version as well as an openly accessible web version. The material is licensed under a … Read more →

# Statistical Tools for Causal Inference

## by The SKY Community

This is an open source collaborative book. […] Tools of causal inference are the basic statistical building block behind most scientific results. It is thus extremely useful to have an open source collectively aggreed upon resource presenting and assessing them, as well as listing the current unresolved issues. The content of this book covers the basic theoretical knowledge and technical skills required for implementing staistical methods of causal inference. This means: This book is geared for teaching causal inference to graduate students that want to apply statistical tools of causal … Read more →

# Nighttime Lights and Malaria in the Peruvian Amazon

## by Gabriel Carrasco-Escobar

Code library of data exploration and analysis […] Nighttime Lights (NL) datasets were used into urban planning, econometric downscaling, disaster response, development, and socio-environmental studies since the very beginning of their public release (Pastor-Escuredo, Savy, & Luengo-Oroz, 2015). (Henderson, Storeygard, & Weil, 2012). (Otchia & Asongu, 2019) In the malaria literature, most of studies used data extracted from NL datasets as a covariate to understand malaria epidemiology patterns (Lechthaler et al., 2019), most commonly used as part of an urbanicity/landscape indexes (Keiser et … Read more →

# P2 - Simulering af Data

## by Gruppe B2-19, Ronni Carlsen, Mads Corfixen, Thomas Heede, Christian F. P. Nielsen, Magnus Olesen

P2 - Simulering af Data […] The aim of the project was to identify alternatives to classical inference methods if the assumptions of these were not met and evaluate their performance. To examine this question, a classical inference method, the t-test, and how it can be used for hypothesis testing, is described. Furthermore, it is shown how the programming language R can be utilized to perform these simulations quickly and simply. Then, by means of simulations, it is examined whether the results are credible if the samples are not normally distributed when working with an unpaired t-test. … Read more →

# The Art of Finance: Theory, Practice & Fiction

## by Arturo Chian

This book is under book development process…. […] Note: This book is under book development process. The current world and the financial world are very different from texbooks written in the last decades that are used by most of the undergraduate or postgrade programs in Economics and Finance. This book is written to reduce the gap between reality and fiction. ¡Aquí estoy yo! Certified Financial Risk Manager por Global Association of Risk Professional (GARP), economista por la Universidad Nacional Mayor de San Marcos. Él es autor de 3 publicaciones “Quantitative Easing and Financial … Read more →

# An Introduction to R, LaTeX, and Statistical Inference

## by Yuleng Zeng

An introduction to R for political scientists. […] This is an introduction to R and Latex. In compiling this documents, several sources have been consulted, including Tim Peterson’s website, Havard’s Math Prefresher, and the course offered by DataCamp. Make sure that you have a laptop throughout this introduction. Install the following applications, if you haven’t done so. Finally, this document is to be used in-class only. As I (will) mention several times, it borrows and merges a lot of resources online. Also, if you see any mistakes or have suggestions, please do shoot me an … Read more →

# Notes of English Writing for Academic Pursuit

## by Zhilin Su

This is Zhilin’s notes of English Writing for Academic Pursuit in … Read more →

# Stormwater Heatmap Technical Reference

## by Christian Nilsen, Geosyntec Consultants, Inc., Emily Howe, The Nature Conservancy, Jamie Robertson, The Nature Conservancy

Stormwater Heatmap Technical Reference […] The Stormwater Heatmap project springs forth from The Nature Conservancy’s (TNC) Cities program, which strives to bring TNC’s core mission − preserving and protecting the land and waters upon which all life depends − to urban areas. As the leading contributor of toxic pollutants to Puget Sound’s streams, rivers, and marine waters, urban stormwater runoff is a key ecological problem generated by Washington’s urban landscapes. Urban stormwater runoff has harmed virtually all urban and urbanizing streams and rivers, and delivered massive quantities of … Read more →

# Book of parkrun research

## by Robert Smith

This is a book of parkrun research used as an example to learn bookdown. […] This is a template book for parkrun research created in … Read more →

# MatrixOptim

## by Edward J. Xu

Data-Driven Decision Making under Uncertainty in Matrix. […] Mathematical programmes are among the most widely used models in operational research and management science. (Williams 2013) Williams, H Paul. 2013. Model Building in Mathematical Programming. John Wiley & … Read more →

# TidySimStat

## by Edward J. Xu

Stochastic Simulation and Statistics in Tidyverse. […] This is the website hosting all the theories and and practices regarding stochastic simulation and statistics. It has the following … Read more →

# Some Notes on Mathematics

## by Yifei Xiong

This is a note using the bookdown package to write a book. The output format for this is bookdown::gitbook. […] 本站的内容 本站会不定期更新一些笔记, 包括但不限于概率论与数理统计、随机过程、算法分析、代数基础、以及一些计算机相关的内容。如果时间充足，我会用Rmarkdown进行书写，写起来真的很工整。但是如果时间有限，笔记仅以goodnotes导出格式进行显示（这通常为图片或pdf文件） 现在已经更新的内容有： 第？学期：随机积分 第三学期：常微分方程笔记 第三学期：抽象代数笔记 第四学期：复变函数笔记 第四学期：概率论笔记 第四学期：数值分析笔记 第五学期：数理统计笔记 第五学期：实变函数笔记 第五学期：微分几何笔记 … Read more →

# Climate-related Risk to European Fish and Fisheries

## by Mark R. Payne, John Pinnegar, Manja Kudahl, Georg Engelhardt

This is a working draft of the CERES (https://ceresproject.eu/) vulnerability analysis (Task 5.3) looking the climate risk of fish and fisheries in Europe. […] This document is a working draft of the CERES (https://ceresproject.eu/) vulnerability analysis (Task 5.3) looking the climate-related risk to fish and fisheries in Europe. The source code for both this manuscript and the associated analysis are stored under version control on GitHub at https://github.com/markpayneatwork/CERES_vulnerability … Read more →

# 웹R을 이용한 통계분석

## by 문 건 웅

안녕하세요? 웹R(web-r.org)을 운영하는 문건웅입니다. “웹에서 하는 R통계”는 통계에는 관심이 있으나 R을 어려워하는 여러 연구자들을 위한 프로젝트입니다. R설치없이 클릭만으로 웹에 있는 서버를 이용하여 통계분석을 하고 보다 R을 쉽게 사용하기 위한 패키지 개발 및 Shiny app 공동개발을 목표로 하고 있습니다. “웹에서 하는 R 통계분석” 책은 2015년 한나래출판사에서 출간되어 2쇄까지 완판되었으나 R이 업데이트되고 웹에서 하는 R 통계분석 앱의 내용이 계속 업데이트되면서 그 내용이 현재 프로그램을 제대로 반영하고 있지 못해 개정판을 내달라는 요구가 많았으나 기존과 같이 출판사를 통해 출간하는 방식으로는 웹에서 하는 … Read more →

# BIS23B

## by Robert E. Furrow, Joel Rodriguez-Medina

Welcome to BIS23B UC Davis | Spring Quarter … Read more →

# Strengthening the Reporting of Observational Studies in Epidemiology STROBE (STROBE) Educational Expansion

## by Melissa K Sharp

This site is a public, open-source repository for epidemiological research methods and reporting skills for observational studies. We aim to be as inclusive as possible but this site is based on the Strengthening the Reporting of Observational studies in Epidemiology Statement. […] The purpose of this site is to create a public, open-source repository for epidemiological research methods and reporting skills for observational studies. Epidemiology, the study of diseases and population health, is a broad field with ever-changing methods and often heated debates about proper designs, … Read more →

# Notes for “Text Mining with R: A Tidy Approach”

## by Qiushi Yan

Notes for “Text Mining with R: A Tidy Approach” […] This is a notebook concerning Text Mining with R: A Tidy Approach(Silge and Robinson 2017). tidyverse and tidytext are automatically loaded before each chapter: I have defined a simiple function, facet_bar() to meet the frequent need in this book to make a facetted bar plot, with the y variable reordered by x in each facet by: As a quick demostration of this function, we can plot the top 10 common words in Jane Austen’s six books: … Read more →

# R for data science: tidyverse and beyond

## by Maxine

R for data science: tidyverse and beyond […] 关于 R for Data Science (Wickham and Grolemund 2016) 的个人笔记，随缘更新。任何建议：https://github.com/enixam/rfordatascience/issues 或 565702994@qq.com tidyverse … Read more →

# Shaper Hands Backend Manual

## by Sacramento Shapers

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] This document contains the latest instructions on how to run the backend of ShaperHands from the perspective of Sacramento Shapers. There are two primary tasks required from Shapers operating things behind the scenes: Current roles and … Read more →

# Chinese Chess in R

## by Hochia

A book about playing Chinese chess with orientchessr, an R package. […] 安裝本書使用的 R … Read more →

# All About Rachel

## by Jess L

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] This is the book delicated to Rachel Recently I have been learning coding stuff. Just happened to know this interesting way to publish on-line book or diary. I thought It would be fun to record all the stuff about you ! So, check it out. … Read more →

# Applet Codebook: NIMH KSADS v0.28

## by Mike X.

This is a codebook that documents all of the items in the current version of the NIMH KSADS applet for MindLogger. […] This applet was made based on the NIMH KSADS on Redcap. These sections are in currently in progress: The data dictionary used to generate this applet is here. These questions were constructed as part of a collaboration between the National Institute of Mental Health and the MATTER Lab of the Child Mind Institute (https://matter.childmind.org). … Read more →

# Đức Phật Trong Ba lô

## by Daisaku Ikeda

Daisaku Ikeda được coi là giáo chủ của một giáo phái thiên về Phật Giáo ở Nhật. Có rất nhiều người Nhật coi ông như là một người chuyên truyền bá những tư tưởng không chính thống, đi sai với Phật Giáo nguyên thủy. Nhưng cuốn sách Đức Phật trong Ba lô của ông có thể nói là khá dễ đọc và mang nhiều ý nghĩa tốt đẹp của Phật Giáo nguyên thủy. […] Mười chín tuổi, hết sức thất vọng vì nhận thấy mình không có khả năng chèo lái cuộc sống và hoang mang trước chiều hướng mà thế giới hiện đại dường như đang lao theo, tôi bắt đầu thực hành Đạo Phật. Đó dường như là triết lý duy nhất thừa nhận sự thần … Read more →

# Đạo Phật Qua Nhận Thức Mới

## by Thích Nhất Hạnh

Đạo Phật Qua Nhận Thức Mới […] … Read more →

# Exploratory Data Analysis with R

## by Roger D. Peng

This book covers the essential exploratory techniques for summarizing data with R. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data you have. We will cover in detail the plotting systems in R as well as some of the basic principles of constructing informative data graphics. We will also cover some of the common multivariate statistical techniques used to visualize high-dimensional data. Read more →

# 请 Inventor 用 FreeCAD

## by Brad Collette 著，曲政 译

有实操，有经验，有框架 […] 上世纪七十年代，那时我还是个小孩。我读过很多发明家的故事，有阿基米德、爱迪生、贝尔、特斯拉，还有，蝙蝠侠。我想当那样的英雄，特别想成为蝙蝠侠。我知道自己只差一样东西，差一样发明。那时我认为，要当发明家，不看他做出了什么东西，而看他本质上就是什么样的人，在他做出了成果之后这个特质才被注意到。这些成果当然不能平庸，肯定得是好东西，超赞的那种。 那时我就懂得了一个道理，被称为发明家，不是凭他的商务名片，不是凭他名下的专利，甚至不是他那些成功的发明。我们称他为发明家，是根据他头脑工作的方式，是根据他看待问题的视角，是根据他们探索新工具新技术的途径。那种好奇心很有感染力：他们总是能看出新的可能，带有启发性 … Read more →

# ICCU as Employers

## by Randy Tarnowski

ICCU as Employers […] This document comes from a request from Kristen around employment data: How can we find out who of our school’s are the top or of the top 3 private employer in their city? I want to provide this to Lande Ajose. After a review, it became clear that there was no comprehensive place to find city-level employment data rankings. As such, we’ll be unable to identify top private employers in each … Read more →

# Programación - Desarrollo de Aplicaciones Web

## by Sergio Berdiales

Programación - Desarrollo de Aplicaciones Web […] Este documento incluye mis notas personales y ejercicios prácticos de la asignatura “Programación” del primer curso del Módulo de FPII de Desarrollo de Aplicaciones Web. Este módulo lo estoy cursando en el Centro Integrado de Formación Profesional de la Universidad Laboral de Gijón (curso 2019-2010). Además de hacer los ejercicios en los lenguajes requeridos durante el curso procuraré replicarlos también en los lenguajes que habitualmente utilizo en mi actividad profesional, R y Python. Los contenidos originales sobre los que realizo mis … Read more →

# Praktikum Komputasi Statistika

## by gdito

Praktikum Komputasi Statistika … Read more →

# 『Rによる原因を推論する』

## by 北川 梨津，原 健人

久米ゼミのプレゼミのための教材です. […] 久米郁男ゼミにようこそ．これから皆さんは，因果推論の方法を2年間みっちり学びます．久米ゼミでは，因果推論のツールとして主に計量分析を利用します．計量分析のためには，数多くの統計解析を行ってくれる統計ソフトウェアを使いこなせることが不可欠です．本書は，『原因を推論する』で提示されるフレームワークに添いながら，Rというプログラミング言語による初歩的な計量分析を実践的に解説することを目的とします． 2年間，因果推論と計量分析をまじめに学べば，あなたの市場価値は飛躍的に高まるはずです．その第一歩を確実に踏み出しましょう．努力は実らないこともありますが，実るまで努 … Read more →

# Austrian Long Term Growth Report

## by Austrian Economic Committee

Austrian Long Term Growth Report […] This document was created by an expert Austrian Committee integrated by economists Jose Londono, Esteban Baquero and Juan Pablo Zapata. The goal of this text is to analyze and review the growth mechanisms that have led to Austria’s current economic situation and to fit Austria’s growth in the best possible theoretical framework. After taking a look at the nation’s growth process we will describe describes Russia’s general characteristics and suggests some proposals that may help this economy increase its growth in the future. Since we know that the … Read more →

# Engaging Multiple Personalities

## by David Yeung

Engaging Multiple Personalities. Volume 4: The Collected Blog Posts. […] Copyright © 2020 by David Yeung All rights reserved ISBN: 9798628359129 BISAC: Psychology / Psychopathology / Dissociative Identity … Read more →

# GSL salinity dashboard analyses

## by Jake Vander Laan (jvander@utah.gov), Utah Division of Water Quality

GSL salinity dashboard analyses […] This document includes a series of Great Salt Lake salinity and elevation analyses for discussion with the Great Salt Lake Salinity Advisory Committee. The figures generated in this document are intended for inclusion in a Great Salt Lake salinity dashboard. All data are drawn from USGS … Read more →

# Planeta Dagobah

## by Jordi Mas Elias

Bloc de coses. Dades i política. […] Sóc professor dels Estudis de Dret i Ciència Política de la Universitat Oberta de Catalunya. M’agraden les dades i la política. Aquí hi trobareu de tot una … Read more →

# Footy Fan

## by Quang Nguyen

Footy Fan […] Soccer, more commonly known as football or association football, is probably the sport that I love the most. I have been following “The King of Sports” for more than 15 years. During this period of time, I have witnessed some of the best matches in the history of the game and also have experienced plenty of emotions, from happiness and cheerfulness to anxiety, frustration and despondency. Soccer is the one sport that I enjoy watching more than playing (I’m not that athletic), so this “book” will primarily focus on my experience watching footy. I will talk about how I became … Read more →

# Quarantine Notebook

## by Jess Li

Delicated to R learning […] This is Jess’s FIRST book written in Markdown. The book is to record the contents of all R learning materials. This book is WORK IN PROGRESS. The materials are updated by weekly. Thanks Rstudio for providing this wonderful platform. Also, thanks Dr.Martin Morgan and Shawn Matott for the guidance during the R language learning … Read more →

# Growth in times of Coronavirus

## by Austria

Everything you need (and nothing more) to start a bookdown book. […] This document was created by an expert Austrian Committee integrated by economists Jose Londono, Esteban Baquero and Juan Pablo Zapata. The goal of this text is to analyze and review the growth mechanisms that have led Austria to it’s current situation and to fit it in the best possible theoretical framework. Afterwards, it describes Russia’s general characteristics and suggests some proposals that may help this nation increase its growth in the future, all of this while keeping up with the current COVID-19 … Read more →

# 일반화가법모형 소개

## by 문 건 웅

일반화가법모형 소개 […] 일반적인 선형회귀분석은 모형의 단순성으로 인해 해석과 추론이 쉽다는 장점이 있으나 예측력이라는 중요한 부분에서 한계를 가진다. 선형모형은 현실의 문제를 예측할 때 설명변수와 반응변수가 선형적 관계가 있다고 가정하는 것이고 이러한 가정이 맞는 경우도 있지만 어떤 경우는 터무니 없는 가정이 되기도 한다. 선형가정을 완화시키는 방법은 다항회귀, 회귀스플라인, 국소회귀, 평활 스플라인, 일반화가법모형 등 여러 가지가 있으나 이 중 일반화가법모형은 설명변수와 반응변수의 비선형관계를 추론할 수 있는 강력한 방법이다. 이 글에서 사용하는 패키지들은 다음과 같다. 이 글을 위해 저자가 새로 만든 … Read more →

# 밑바닥부터 시작하는 ROC 커브 분석

## by 문건웅

맨바닥에서 시작하는 ROC 커브 분석 […] 수신자조작특성(Receiver Operating Characteristics, ROC) 커브는 2차세계대전 중 레이더 신호의 분석에 처음 쓰였다. 1941년 진주만 공습 이후 미육군은 일본 항공기의 레이더신호를 정확하게 탐지하여 예측능력을 증가시키기 위해 연구를 시작하였는데 레이더 수신기가 적군비행기와 다른 물체를 구별하는 능력을 평가하기 위해 사용하여 ROC라고 불리게 되었다. 의학영역에서 ROC 커브분석은 진단적 검사의 평가를 비롯한 광범위한 영역에서 널리 사용되고 있다. R을 사용하여 ROC 커브를 그릴 수 있는 방법은 여러가지가 있으나 여기서는 패키지를 사용하지 않고 손으로 계산하여 ROC … Read more →

# PTE-3121 - Planejamento e Análise de Pesquisas Longitudinais

## by Professora Alinne Veiga

PTE-3121 - Planejamento e Análise de Pesquisas Longitudinais … Read more →

# COVID-19 Resources for Penn Cardiologists

## by Michael Levin, MD; Yoav Karpenshif, MD; Megan Burke, MD; and Frank E. Silvestry MD on behalf of the Penn Cardiology Fellowship program

A compliation of COVID-19 resources assembled by cardiology fellows at the Hospital of the University of Pennsylvania […] This resource is compiled/updated by cardiology fellows at the Hospital of the University of Pennsylvania, and is designed to provide information to physicians and medical providers within the Division of Cardiovascular Medicine and other interested parties. The information provided here is not intended to be medical … Read more →

# Corrupted Data and the Illicit Arms Trade

## by Rose Graves

This is the undergraduate thesis for Rose Graves in the Duke Statistical Science Department. […] With the ever-increasing advancements in weapons technology, the illicit arms trade has steadily become a greater threat to international security. The small arms trade, consisting of portable weapons and their parts, is not only a profitable good, but also a method of gaining power through violent and threatening means. Being able to identify when and what countries are engaging in illicit arms trade is essential in order to make informed policy decisions. The driving question behind this … Read more →

# A notebook Paper Causal Effect Inference with Deep Latent-Variable Models

## by Trong-Thang Pham

This is a notebook I write about CEVAE original paper. […] This is a notebook I write about CEVAE original paper (Louizos et al. 2017). Some grammar mistakes are going to be made. The authors’ source code: https://github.com/AMLab-Amsterdam/CEVAE Here is some background knowledge that will help you to understand the whole paper. cond() is a notation I made up to stand for “is conditioned on”. For example, y is conditioned on x, then I call it y cond(x). Actually using y|x is more elegant but if we talking normally without the y, using | or |x is too short, in my opinion. do() is represented … Read more →

# A notebook AICity Challenge

## by Trong-Thang Pham

This is a notebook of mine about AICity Challenge […] I will try to write down as many approaches and as little as engineer technique like how to install or implement somethings (it’s boring) and especially, no example from the data (there is Data License), if I have to show example, I have to find other data source. I only write when I have time to work on AICity challenge or free time for it. Warning ahead: There will be a lot of grammar … Read more →

# Методические указания по выполнению расчётно-графической работы в R

## by Михаил Лысенко

Методические указания по выполнению расчётно-графической работы в R […] Федеральной службой государственной статистики РФ ежеквартально проводятся бюджетные обследования домашних хозяйств по всем регионам России об условиях проживания и уровне благосостояния населения. Необходимо проанализировать данные обследования о расходах и доходах домохозяйств. В рамках работы данные обследований описываются следующими показателями: - код территории по ОКАТО (переменная ТЕРРИТОРИЯ) - тип населенного пункта (переменная ТИПНАС, 1 - город, 2 - село) - расходы на продукты питания (переменная ПРОДПИТ, … Read more →

# Financial Markets

## by All materials of this book are based on ECON 252: Financial Markets (2011) taught by Professor Robert Shiller, available on Open Yale Courses. For non-commercial research or study only.

An overview of the ideas, methods, and institutions that permit human society to manage risks and foster enterprise. Description of practices today and analysis of prospects for the future. Introduction to risk management and behavioral finance principles to understand the functioning of securities, insurance, and banking industries. Fabozzi, Frank J., Franco Modigliani, Frank J. Jones, and Michael G. Ferri. Foundations of Financial Markets and Institutions, 4th ed. Prentice Hall, 2010. Shiller, Robert J. Finance and the Good Society. Princeton University Press, 2012. Brandeis, Louis D. Other … Read more →

# Introduction to tidyvpc

## by James Craig

VPC Percentiles and Prediction Intervals […] Install devtools if not previously installed. If there are errors (converted from warning) during installation related to packages built under different version of R, they can be ignored by setting the environment variable R_REMOTES_NO_ERRORS_FROM_WARNINGS=“true” before calling … Read more →

# R, Not the Best Practices

## by Nikita Voevodin

R, Not the Best Practices by Nikita Voevodin is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. Welcome to R, Not the Best Practices. You, probably, selected this book for one of the following three reasons; one, you saw the title, the cover and thought well this might be interesting. Two, you know that books that are called something something, best practices are hard to follow, because they are written by someone who already forgot how it feels to not know shit. Third, someone referred you to this book, because they learned a lot from it … Read more →

# R Basics

## by Heejun Lee

R Basics […] Reference : R for Beginners. R has 6 data types. R will save data when you assign it to the variable. With n <- 15, n is set to numeric, We can use various operations(methods) with numeric type variables. For example, Note also that we can get access to stored data 15 by the variable name n. In addition, we can coerce the object n to be a integer type variable. By enclosing a string with double quotes, we create a character type object, To define a logical object, we type R can interpret 0 as FALSE, other numbers as TRUE Google NaN NULL NA in R or type ?NA ?NaN ?NULL. Unlike … Read more →

# Valuing the Deep: Marine Genetic Resources in Areas Beyond National Jurisdiction

## by Paul Oldham, Stephen Hall, Colin Barnes, Catherine Oldham, Mark Cutter, Natasha Burns, Leonie Kindness

A review of scientific research and patent activity involving marine genetic resources from the deep oceans in Areas Beyond National Jurisdiction (ABNJ) […] This is the electronic book version of Valuing the Deep. Valuing the Deep is a report commissioned by the UK Department for the Environment Food and Rural Affairs (DEFRA) in 2014 to inform preparations for what is now the new draft oceans treaty on marine biodiversity in areas beyond national jurisdiction (ABNJ or BBNJ), that is the world’s deep oceans. Valuing the Deep explores the landscape of scientific research and patent activity … Read more →

# Social Advocacy & Ethical Life

## by Yuleng Zeng

This is an introduction to Social Advocacy & Ethical Life (SAEL 200). It is a class I started teaching in Fall 2019, as a member of the Bridge Humanities Corps (BHC) at the University of South Carolina. In compiling this document, I consult a number of online resources. The intention is to record the process of my preparation for this class and help me improve over time. If you see errors, have suggestions, or do not wish your material to be cited here, please do shoot me an email. The syllabus of the class can be found here: … Read more →

# A Very Short Course on Time Series Analysis

## by Roger D. Peng

The book covers material taught in the Johns Hopkins Biostatistics Time Series Analysis course. […] This book will cover the use of time series methods in biomedical and public health applications. And maybe rockets? We will use the following … Read more →

# Let’s Explore Statistics

## by Colin Quirk

Let’s Explore Statistics […] Many researchers learn statistics as a series of flowcharts and heuristics without ever diving into the deep mathematical concepts that underlie the choices they have been taught to make. I think everyone wishes they understood statistics better but it is easy to become overwhelmed with equations and proofs. Most of my knowledge in both math and statistics is self-taught through experience and exploration. This book is an organized assortment of simulations and examples that have personally helped me think through these difficult topics. Inspiration for this … Read more →

# DEMOVATE Survey 2020

## by Daniel Instebø og Sveinung Arnesen

Dette er en digital bok som viser dokumentasjon og analyser av DEMOVATE Survey gjennomført Desember 2019 - Januar 2020. […] Dette er en digital dokumentasjonsrapport og analyser av DEMOVATE Survey gjennomført 16. Desember 2019 - 13. Januar 2020. Gjennomføringen av analysen er gjennomført av Respons Analyse på oppdrag fra NORCE. Undersøkelsen er gjennomført på telefon hvor det er gjennomført et representativt utvalg av innbyggere 18 år og eldre. Undersøkelsen omhandler lokaldemokrati i Bergen og inneholder 7 bakgrunnsspørsmål, 2 conjoint-eksperimenter og ulike holdningsspørsmål. Intervjuene … Read more →

# Authentic Data Science

## by Robert Barcik

This is a book that allows anyone to become a Embedded Data Scientist in an intuitive way. […] Data Science is undoubtedly one of the fastest growing areas within IT. This growth is not unjustified though. Majority of the firms did undergo a process of digitalization within the past 2-3 decades. Opportunities within digitalization, such as digital offering of products, digital channels for marketing, are reaching new maturity points. If we look around ourselves, majority of products which make sense to be digitalized, indeed are (if we disregard laggard governments). According to … Read more →

# Krisenmanagement Buch

## by multiple

Krisenmanagement Buch […] Das Management von Krisen hat in den letzten Jahren erheblich an Bedeutung gewonnen, insbesondere auch im Öffentlichen Gesundheitsdienst (ÖGD). Grundsätzlich liegt die Entscheidungshoheit im Rahmen des Krisenmanagements infektiologischer Gefahrenlagen bei den kommunalen Gesundheitsämtern. Aufgrund der aktuellen Lage (Stand 18. März 2020) in Zusammenhang mit der Verbreitung des neuen Coronavirus stellen wir hiermit in einer Vorabversion Auszüge unseres Lehrbuchs zur Verfügung. Instrumente des Krisenmanagements helfen Mitarbeiter/innen im ÖGD die Arbeitsfähigkeit der … Read more →

# Applet Codebook: NIMH EMA for Mindlogger v0.27

## by Mike X.

This is a codebook that documents all of the items in the current version of the NIMH EMA Applet for Mindlogger. […] This MindLogger applet collects daily information on your physical and mental health. You will be asked a set of questions multiple times a day. We will record the information and share it with you and our researchers so we can look for patterns in the data. Answer these questions to the best of your ability. It is okay if you don’t know the answers to some of them! Thank you for your participation! These questions were constructed as part of a collaboration between the … Read more →

# Sepages data pre-processing guide

## by M. Rolland

Sepages data pre-processing guide […] In this document we present the different steps used to pre-treat the biomarker data in Sepages. To date this process has been applied to pregnancy urinary levels of phenols and phthalates and cytokine data. This process includes mainly: We will use the example of the Sepages pregnancy phenols data. Here is an overview of the process and the different variables … Read more →

# Panduan Menyusun Database Menggunakan Microsoft Access

## by Technaut

Buku ini merupakan panduan yang digunakan oleh peserta kelas Data Science untuk Bisnis dalam menyusun database penjualan menggunakan Microsoft Access. […] Buku ini merupakan bacaan tambahan bagi peserta kelas Data Science untuk Bisnis. Pada buku ini diberikan penjelasan singkat terkait cara membangun database menggunakan aplikasi Microsoft Access. Adapun topik yang disajikan dalam buku ini antara … Read more →

# Estadística Aplicada con R

## by Oscar González Frutos

Estadística Aplicada con R […] Dirigirse a la página web http://cran.r-project.org/ donde encontrarán el programa de instalación en Linux, (Mac) OS X y Windows. Seleccionar la opción deseada y descargar el ejecutable correspondiente. RStudio se descarga gratuitamente de su página web: https://rstudio.com/products/rstudio/download/. Para un usuario, hay que elegir la versión Desktop. Se descargará un archivo ejecutable, aceptar las opciones que ofrece por defecto RStudio. Si ya hemos instalado R en nuestro equipo, RStudio lo detectará automáticamente y podremos utilizarlo desde este entorno. … Read more →

# dealing with gin

## by Julien Colomb and Keisuke Sehara

dealing with gin […] Introduction to how to deal with gin (web interface, command-line, and probably WinGIN GUI). This book covers multiple topics, see the table of content to navigate … Read more →

# Secchi Depth

## by Rosemary_Hartman

This report shows trends in water quality, plankton, and fish across multiple IEP surveys for March through May of 2018. […] This report shows trends in water quality, plankton, and fish across multiple IEP surveys for March through May of 2018. Disclaimer: While substantial efforts are made to ensure the accuracy of these data, complete accuracy of data sets cannot be guaranteed. This report was developed by the IEP Synthesis Team. For questions, comments, or corrections, contact Rosemary Hartman – Rosemary.Hartman@water.ca.gov … Read more →

# ¡Manos a la Data!

## by BEST: Behavioral Economics & Data Science Team

Open book que recolecta cada data del proyecto del mismo nombre […] Nota: El libro se encuentra en constante desarrollo. Se actualizará cada semana producto de resumir los análisis de las bases de datos semanales del proyecto manos a la data. Este libro ha sido elaborado por BEST. Hace unos años el término Data Science no era tan conocido ni utilizado por la comunidad internacional, y menos aún local (Perú). En realidad, era un término usado rara vez por los estadísticos y algunos miembros de la computación científica. Y es que nuestra sociedad ha evolucionado, y con ellos ciertas … Read more →

# PostgreSQL Explained for R-Users and R-Programmers

## by Ben Gonzalez

This is a book that explains PostgresSQL for R programmers and helps explain SQL syntax as well. […] For anyone interested in using this book you will need the following packages and tools to follow along. The RPostgreSQL and DBI package can be installed from CRAN or Github: Notes on using SQL syntax in RPostgreSQL To successfully query data in PostgreSQL the following caveats may be necessary. This is especially the case if someone has created column names that are unique and odd in some form or … Read more →

# A guide to the 2017 European Internet Panel Study

## by sveinungarnesen78

This is a guide to the 2017 European Internet Panel Study data set. […] The EIPS is a collaboration between six European probability-based online survey panels. This document gives an overview of the fourth survey, conducted in 2017 (N = 18249). The 2017 joint survey wave was fielded in France by the L’ ́etude longitudinale par internet pour les sciences social sat Sciences Po, in Germany by the German Internet Panel at the University of Mannheim, in Iceland by the Social Science Research Institute Panel (University of Reykjavik), in The Netherlands by the Longitudinal Internet Studies for … Read more →

# An Introduction to Machine Learning with R

## by Laurent Gatto

An hands-on introduction to machine learning with R. […] This course material is aimed at people who are already familiar with the R language and syntax, and who would like to get a hands-on introduction to machine learning. This material is currently under development and is likely to change in the future. A set of packages that are used, either directly or indirectly are provided in the first chapter. A complete session information with all packages used to compile this document is available at the end. The source code for this document is available on GitHub at https://github.com/lgatto/I … Read more →

# Using Spark from R for performance with arbitrary code

## by Jozef Hajnala

This bookdown publication attempts to provide practical insights into using the sparklyr interface to gain the benefits of Apache Spark while still retaining the ability to use R code organized in custom-built functions and packages. […] Apache Spark is a popular open-source analytics engine for big data processing and thanks to the sparklyr and SparkR packages, the power of Spark is also available to R users. This short publication attempts to provide practical insights into using the sparklyr interface to gain the benefits of Apache Spark while still retaining the ability to use R code … Read more →

# VDOT_GIS

## by Gabriel Carrasco

Code repository for VDOT Analysis […] Determine mobility patterns of VDOT … Read more →

# Прикладна аналітика для активістів природоохоронного руху

## by Василенко Євген

This is a practical example of using the R programming language to environmental protection activism. All examples based on practical cases of Public Association «Ecological Council of Kryvorizhzhya» (Ukraine) […] Ця книга є наочним посібником для активістів природоохоронного руху. Тут містяться складні, проте дуже важливі на сьгоднішній момент практичні поради: яким чином довести до основної маси населення проблеми надзвичайного забруднення українського довкілля. Як показати людям те, що нічого в природі не виникає «просто так». Як показати людям вплив десятків невидимих неозброєним оком … Read more →

# Alfredo’s Laboratory Notebook

## by Alfredo Enrique Gonzalez

This is the virtual laboratory notebook of Alfredo E. Gonzalez and his research and work in the Boutros Lab. […] This is the virtual laboratory notebook containing the work of Alfredo E. Gonzalez for the Boutros Lab. The first two chapters (Module 1 and Module 2) are dedicated to the two folders of the Boutros Lab introductory bioinformatics training in the R programming language. Within both of these chapters there are subsections for each question of the problem sets. As additional analysis are generated in real time, they will be appended to the subsequent chapters. Additional notes (# … Read more →

# Boutros Laboratory Notebook

## by By: Alfredo Enrique Gonzalez

This is the virtual laboratory notebook of Alfredo E. Gonzalez for his research and work in the Boutros Lab […] … Read more →

# Alfredo’s Laboratory Notebook

## by Alfredo E. Gonzalez

Alfredo’s Laboratory Notebook with answers to R training modules … Read more →

# EDP Sun Power prediction Challenge

## by Sergio Berdiales

EDP Sun Power prediction Challenge […] En este notebook estoy incluyendo el proceso de creación de los modelos con los que intentaré colarme en el ranking de participantes del Challenge de machine learning “Sun Power Prediction” que EDP tiene colgado en su web de open data y que incluyo a continuación (Fecha: 2019-11-14). “The objective of this competition is to build an algorithm that predicts the production of solar module B (with optimal orientation) for the first seven days of 2018. For this, you can rely on the weather station data for these days.” Hasta ahora sólo hay 7 participantes, … Read more →

# Matts Baking Cook Book

## by birderboone

Matts Baking Cook Book … Read more →

# 数理统计讲义

## by 何志坚

数理统计讲义 […] 本讲义为《数理统计》课程配套材料，大部分为课堂讲解内容。第1章介绍了数理统计基本概念。第2章介绍了点估计方法，包括矩法估计、极大似然估计，还介绍了区间估计方法。第3章介绍了假设检验基本概念以及似然比检验方法。第4章介绍了一元线性回归和多元线性回归模型，以及最小二乘估计，相应的区间估计和显著性检验。 献给我的妻子和儿子。 本讲义仅供选修《数理统计》课程的同学学习使用，如有其它用途请联系作者：hezhijian@scut.edu.cn … Read more →

# Project ideas for Applied Population and Statistical Ecology

## by Trevor Hefley

Project ideas for Applied Population and Statistical Ecology […] This website contains six sources of data that may be used for class projects. If you are interested in a project that uses data that is not presented here, please discuss this with Elsie, Katy or Trevor. It is likely that we can find a data set for your research … Read more →

# Hands-On Machine Learning with R

## by Bradley Boehmke & Brandon Greenwell

A Machine Learning Algorithmic Deep Dive Using R. […] This book is sold by Taylor & Francis Group, who owns the copyright. The physical copies are available at Taylor & Francis and Amazon. Welcome to Hands-On Machine Learning with R. This book provides hands-on modules for many of the most common machine learning methods to include: You will learn how to build and tune these various models with R packages that have been tested and approved due to their ability to scale well. However, our motivation in almost every case is to describe the techniques in a way that helps develop intuition for … Read more →

# The MumfordBrainStats Mixed Models Series: Companion for the YouTube series

## by Jeanette Mumford

The MumfordBrainStats Mixed Models Series: Companion for the YouTube series […] This is a collection of materials that accompanies a YouTube series on the MumfordBrainStats channel about mixed models. Although I normall focus on material related to neuroimaging, this is for a general audience. Each of these chapters should be understandable without watching the video, but one would probably gain the most by watching the videos as well. The chapter titles indicate which video in the series goes along with that chapter. Not all videos have chapter (yet), since I’m only including chapters with … Read more →

# Modelagem de coortes com dados administrativos

## by Felipe Ferré

Modelagem de coortes com dados administrativos […] A administração pública disponibiliza um volume crescente de dados abertos, cujo uso também aberto implica no fortalecimento da democracia. Boa parte do universo dos dados é operada pela Tecnologia da Informação em Saúde. O Ministério da Saúde disponibiliza mais de 10 bilhões de registros que podem ser usados em estudos ecológicos e mais de 250 milhões de registros de medicamentos individualizados, isto é, há identificador que possibilita juntar registros do mesmo indivíduo a partir de diferentes bases. Outros 3 bilhões de registros da … Read more →

# Doğrusal (Lineer) Regresyon

## by Uğur Dar

Doğrusal (Lineer) Regresyon […] Lineer (Doğrusal) regresyon istatistiksel veri analizinde sıkça kullanılan bir yöntemdir. Lineer regresyon, doğrusal ve sürekli değişkenler için kullanılan bir yöntemdir. Son yıllarda popüler olan makine öğrenmesi açısından ise birçok kaynakta giriş konusudur. Dolayısıyla bu konunun iyi kavranması makine öğrenmesi konusunda kendisini geliştirmek isteyenler için elzemdir. Bu dökümanda doğrusal regresyonun teorik kısımlarından çok, R ile uygulama kısımları yer alacaktır. Aşağıda doğrusal regresyon modelini iki örnek ile nerede ve nasıl kullanabileceğimizi … Read more →

# R Programlama - Başlangıç

## by Uğur Dar

R Programlama - Başlangıç […] R’da atama işlemi için “=” ve ya “<-” operatörleri kullanılır. Bir nesneye atama yapılırken sıkça kullanılan “<-” operatörüdür. Fonksiyonların içinde ise “=” operatörü kullanılır. Önceden oluşturulmuş bir nesnenin üzerine tekrar atama işlemi yapılır o nesne en son atanan değeri alır, önceki değer silinir. Nesneyi çağırdığımızda değerini görebiliriz Character ve string atamalarında " " kullanılır. Bir nesnenin class’ını görmek için class() fonksiyonundan yararlanılabilir. Sıkça kullanılan classlardan bir tanesi logical(mantıksal). “Global Environment”’dan silmek … Read more →

# Panduan Lengkap Analisis Statistika Menggunakan R Commander

## by Mohammad Rosidi

Buku yang memberikan tutorial statistika menggunakan R-Commander, sebuah general user interface (GUI) untuk melakukan analisis dan membuat model statistika. […] … Read more →

# Alfabetização em Dados para Inovação

## by Rodrigo Almeida dos Santos - rodrigo.almeida @ gmail.com

Alfabetização em Dados para Inovação […] Organizar em um material uma série de conteúdos relacionados a um tema tão vasto como a inovação é realmente desafiador. Entretanto, é necessário um ponto de partida: A inovação, para ser bem sucedida, precisa ser erguida em pilares bastante sólidos, sob pena de, como um castelo de cartas, não se sustentar e desabar antes de alcançar seu objetivo. Mas qual seria esse objetivo? Segue breve explicação realizada pelo professor Silvio Meira: Um dos pilares para a inovação é a boa informação. O que você sabe sobre o objeto de inovação que está … Read more →

# Quantitative Research Methods for Political Science, Public Policy and Public Administration for Undergraduates: 1st Edition With Applications in R

## by Wesley Wehde, Hank Jenkins-Smith, Joseph Ripberger, Gary Copeland, Matthew Nowlin, Tyler Hughes, Aaron Fister, and Josie Davis

Quantitative Research Methods for Political Science, Public Policy and Public Administration for Undergraduates: 1st Edition With Applications in R […] The idea for the graduate level version of this book grew over decades of teaching introductory and intermediate quantitative methods classes for graduate students in Political Science and Public Policy at the University of Oklahoma, Texas A&M, and the University of New Mexico. Despite adopting (and then discarding) a wide range of textbooks, we were frustrated with inconsistent terminology, misaligned emphases, mismatched examples and data, … Read more →

# 經濟數學程式設計專題

## by 國立臺北大學 林茂廷老師

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] 作業 70% 期末專題 30% 學習以下的能力及知識： 基礎Python語法 經濟模型/統計模型（含機器學習）所需面對的數學問題及其求解概念 電腦數值分析求解確定及不確定狀態下的極值問題 本課程雖無電腦程式基礎要求，但建議有基本概念（R或Python均可）。 基礎數學概念： 微分/積分/梯度等 確定狀態下的極值問題： 無限制絛件/有限制條件 基礎統計概念： 隨機變數/估計式/抽樣分配等 不確定狀態下的極值問題： 無限制條件/有限制條件 1. Install Python via Anaconda 連到https://www.anaconda.com/點Download，下載對應自己系統的版本。(請安裝Pyhton 3.X版，其中X為數字 … Read more →

# Comparative Methods

## by Brian O’Meara

How to do comparative methods for evolution and ecology […] This book was created as part of my PhyloMeth class, which focuses on sensibly using and developing comparative methods. It will be actively developed over the course of Spring 2017, so if you don’t like this version (see date above), check back soon! The book is available here but you can fork it, add issues, and look at raw source code at https://github.com/bomeara/ComparativeMethodsInR. [Note I’ll be changing the name of the repo eventually; the course is largely in R (not entirely) but of course many key methods appear in other … Read more →

# High School Math Competition

## by Math Down

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] A circle (O) has radius 10, AB and CD are two chords of the circle. (AB \parallel BC), (AB = 12), (CD=16), what’s the distance between AB and CD? Triangle (ABC), (AB=AC), (\angle ABC = 30^o). (BD) is a diameter of (\triangle ABC)’s circumsribe circle, (CD=\frac{4\sqrt 3}{3}), AD=? (AB) is a chord of circle (O). (E) is the midpoint of (AB). (EC\perp OA), BD is a tangent line of Circle (O). (AB=12), (BD=5). What is the radius … Read more →

# Sabeis - Sala Aberta de Inteligência em Saúde

## by Felipe Ferré

Wiki do SABEIS - PCDT. […] Bem vindo ao tutorial do SABEIS - PCDT. Utilize o menu ao lado para … Read more →

# ExamPA.net Overview

## by exampatutor

ExamPA.net Overview […] The video solution to the June 2019 Exam PA. Here you can see the project statement for a practice exam which is in the format of a real exam. Cheat Sheet Sample Sign up Sam Castillo is a predictive modeler at Milliman in Chicago, maintains a blog about the future of risk, and won the 2019 SOA Predictive Analytics and Fururism’s Jupyter contest. Contact: … Read more →

# jamoviguiden

## by Jonas Rafi

Lär dig göra independent samples t-test, paired samples t-test, one sample t-test, ANOVA, repeated measures ANOVA, factorial ANOVA, mixed ANOVA, linear regression, och logistic regression i jamovi. jamoviguiden innehåller även avsnitt om csv-filer och skalnivåer. […] Syftet med jamoviguiden är att tillhandahålla snabbstartsguider över vanliga procedurer i jamovi. För dig som söker en grundläggade introduktion till både statistik och jamovi rekommenderar jag gratisboken Learning statistics with jamovi av Danielle J. Navarro och David R. Foxcroft. jonas.rafi psychology.su.se. Detta verk … Read more →

# Writing Frictionless R Package Wrappers

## by Bob Rudis

Extending the functionality of R via R’s foreign language interfaces. … Read more →

# Manipulación de datos e investigación reproducible en R

## by Derek Corcoran

Este libro es una compañia al curso, análisis y manipulación de datos en R […] Para comenzar el trabajo se necesita la última versión de R y RStudio (R Core Team 2019).También se requiere de los paquetes pacman, rmarkdown, tidyverse y tinytex. Si no se ha usado R o RStudio anteriormente, el siguiente video muestra cómo instalar ambos programas y los paquetes necesarios para este curso en el siguiente link. El código para la instalación de esos paquetes es el siguiente: En caso de necesitar ayuda para la instalación, contactarse con el instructor del curso. Si nunca se ha trabajado con R … Read more →

# «Shri Jobim»

## by Dmitry Gorodnichy

Antonio Carlos Jobim songs re-interpreted by Dmitry Gorodnichy […] This album contains my interpretations of my favourite Jobim’s bosa-nova songs in Russian and Ukrainian. These songs have been dear to my heart for many years. - They were much loved by my parents, who could also play some of them on piano. Following the passing of my parents (in 2003 and then in 2016), I started feeling them on a new, deeper, level. The result is this album. The songs are divided in two groups: those about Love (“Grand amor”) and those about the meaning and beauty of Life (“Ocean”). The album also contains … Read more →

# Lecture Notes for Project Management

## by B. Depaire

These are the lecture notes for the course Project Management […] This document contains the lecture notes for the course Project Management (3897) taught at Hasselt University. Each chapter of this document serves to support the lecture presentations and contains a summary in bullet-point style. We advise students to go throught these lecture notes immediately after the lecture and to add your own notes to this … Read more →

# EESA01 Laboratory Manual Introduction to Environmental Science

## by Andrew Apostoli

A lab manual for students of Environmental Science […] This book is an open source document. The book is built using the bookdown package (Xie 2019) in R, and pandoc. We invite your contributions to this book by submitting an email to andrew.apostoli@mail.utoronto.ca. Please note that any contributions must be licensed under the Creative Commons Attribution-ShareAlike 4.0 International License. For more information, see “License” below. This project is coordinated by Andrew Apostoli, and Adam Martin. The original lab manual of which this book is based off of was created by Carl Mitchell and … Read more →

# 經濟資料視覺化處理

## by 林茂廷, 國立臺北大學經濟學系

經濟資料視覺化 […] This course is designed to develop the skill of efficient graphic language, where efficiency is defined as the data information delivery that is self-contained, concise, and non-distorting. The programming language is mainly based on R, with a little bit of Javascript toward the end. Though there is no computer programming knowledge required, basic R knowledge will help (the ebook, R for Data Science, would be a good start). By the end of the course, students who learn well should be able to design professional … Read more →

# Population Health Data Science with R

## by Tomás J. Aragón

Population health data science (PHDS). […] We are writing this book to introduce R—a programming language and environment for statistical computing and graphics—to public health epidemiologists, health care data analysts, data scientists, statisticans, and others conducting population health analyses. Recent graduates come prepared with a solid foundation in epidemiological and statistical concepts and skills. However, what is sometimes lacking is the ability to implement new methods and approaches they did not learn in school. This is more apparent today with the emergence of data science … Read more →

# Metode Numerik Menggunakan R Untuk Teknik Lingkungan

## by Mohammad Rosidi

Komputasi metode numerik menggunakan R dengan contoh kasus di bidang teknik lingkungan. Buku ini dapat menjadi rujukan bagi mahasiswa yang ingin mendalami proses komputasi metode numerik menggunakan R. Buku ini disusun sedemikian rupa dengan bahasa yang sederhana agar mudah dipahami oleh mahasiswa. […] Metone Numerik Menggunakan R Untuk Teknik Lingkungan merupakan buku yang penulis tulis dengan harapan dapat menjadi salah satu rujukan mahasiswa khusunya Teknik Lingkungan yang tertarik untuk belajar R. Selain itu, buku ini merupakan salah satu cara pengabdian penulis guna menyediakan sumber … Read more →

# Recoding Introduction to Mediation, Moderation, and Conditional Process Analysis

## by A Solomon Kurz

This project is an effort to connect his Hayes’s conditional process analysis work with the Bayesian paradigm. Herein I refit his models with my favorite R package for Bayesian regression, Bürkner’s brms, and use the tidyverse for data manipulation and plotting. […] Andrew Hayes’s Introduction to Mediation, Moderation, and Conditional Process Analysis text, the second edition of which just came out, has become a staple in social science graduate education. Both editions of his text have been from a frequentist OLS perspective. This project is an effort to connect his work with the Bayesian … Read more →

# Interactive web-based data visualization with R, plotly, and shiny

## by Carson Sievert

A useR guide to creating highly interactive graphics for exploratory and expository visualization. […] This is the website for “Interactive web-based data visualization with R, plotly, and shiny”. In this book, you’ll gain insight and practical skills for creating interactive and dynamic web graphics for data analysis from R. It makes heavy use of plotly for rendering graphics, but you’ll also learn about other R packages that augment a data science workflow, such as the tidyverse and shiny. Along the way, you’ll gain insight into best practices for visualization of high-dimensional data, … Read more →

# Multivariate Statistical Analysis using R

## by Theodore Wiebold

One, two, and multiple-table analyses. […] Advice: Use the simplest method that provides the clearest … Read more →

# The Open Quant Live Book

## by OpenQuants.com

The Open Quant Live Book […] The book aims to be an Open Source introductory reference of the most important aspects of financial data analysis, algo trading, portfolio selection, econophysics and machine learning in finance with an emphasis in reproducibility and openness not to be found in most other typical Wall Street-like references. The Book is Open and we welcome co-authors. Feel free to reach out or simply create a pull request with your contribution! See project structure, guidelines and how to contribute here. First published at: openquants.com. Licensed under Attribution-NonCommer … Read more →

# Course Handouts for Bayesian Data Analysis Class

## by Mark Lai

This is a collection of my course handouts for PSYC 621 class in the 2019 Spring semester. Please contact me [mailto:hokchiol@usc.edu] for any errors (as I’m sure there are plenty of them). […] This is a collection of my course handouts for PSYC 621 class. The materials are based on the book by McElreath (2016), the brms package (Bürkner 2017), and the STAN language. Please contact me for any errors (as I’m sure there are plenty of them). Bürkner, Paul-Christian. 2017. “brms: An R Package for Bayesian Multilevel Models Using Stan.” Journal of Statistical Software 80 (1): 1–28. … Read more →

# On the Fruit of the Holy Spirit

## by Kevin Morales

This paper examines the role of the Holy Spirit in fructifying. […] This paper examines the role of Galatians chapter five, verses twenty-two through twenty-six in the life of a Christian. The first two verses in consideration speak of the fruit of the Spirit, and further exphasize that, when walking in the Spirit, a Christian is not under the law; the next two verses harmonize the role of Christ’s work on the cross, and the role of the Holy Spirit in leading a Christians. The last verse in consideration is an exortation to act according to the flesh. No serious study of the Bible is … Read more →

# Supplement to Longitudinal analysis of early childhood stunting in low-resource settings

## by Jade Benjamin-Chung et al.

This is supplementary information to Longitudinal analysis of early childhood stunting in low-resource settings […] Recommended citation: Benjamin-Chung J, et al. 2020. Longitudinal analyses of early childhood stunting in low-resource settings. Journal Name. doi. This site contains supplementary information to the Longitudinal analyses of early childhood stunting in low-resource … Read more →

# Grand Slam Heroes

## by Ganesh Viswanathan and Roma Dutta

Grand Slam Heroes […] “The Open Era is the current era of professional tennis. It began in 1968 when the Grand Slam tournaments allowed professional players to compete with amateurs, ending the division that had persisted since the dawn of the sport in the 19th century.” - Wikipedia Github Link: https://github.com/ganesh2512/finalProject Rstudio Cloud Link: https://rstudio.cloud/project/704614 Bookdown Link: https://bookdown.org/rdutta4/bookdown-grandslam/ ShinyAppsIOLink: https://ganesh-viswanathan.shinyapps.io/finalProjectShiny/ Data source Link: https://github.com/rfordatascience/tidytues … Read more →

# Data Visualization Design Project

## by Joshua Ganz, Julian Mucha & Eric Rwabuhihi

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] Millions of people around the world like to watch football, commonly known as soccer in the United States. It is the most watched sport in Europe, Asia, and Africa. Most recently, the United States has attracted many fans, due in part to the US women’s soccer team, which has won the FIFA Women’s World Cup on four occasions since its inauguration in 1991. The goal of this project is to analyze how teams performed in the world cup in the last 28 years: country … Read more →

# Teaching and Learning with Jupyter

## by Lorena A. Barba, Lecia J. Barker, Douglas S. Blank, Jed Brown, Allen B. Downey, Timothy George, Lindsey J. Heagy, Kyle T. Mandli, Jason K. Moore, David Lippert, Kyle E. Niemeyer, Ryan R. Watkins, Richard H. West, Elizabeth Wickes, Carol Willing, and Michael Zingale

A handbook on teaching and learning with Jupyter notebooks. […] Lorena A. Barba, Lecia J. Barker, Douglas S. Blank, Jed Brown, Allen B. Downey, Timothy George, Lindsey J. Heagy, Kyle T. Mandli, Jason K. Moore, David Lippert, Kyle E. Niemeyer, Ryan R. Watkins, Richard H. West, Elizabeth Wickes, Carol Willing, and Michael Zingale This handbook is for any educator teaching a topic that includes data analysis or computation in order to support learning. It is not just for educators teaching courses in engineering or science, but also data journalism, business and quantitative … Read more →

# Knowing the KPI Trend Without Seeing the Chart

## by Ace Mark Acebedo

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] The skill of charting and consequently reading the KPI trend is one of the most basic things that I had to learn on the job as a Telco Engineer. I am using the skill to evaluate cell performance over a definite observation period (i.e. days, weeks, months, years etc.). Since it is a most basic skill, creating a guideline to do it nowadays is never a matter of serious consideration if not a downright laughable joke. But, just like me, if you’ve become … Read more →

# Data Analysis for Psychology in R (dapR1) - Labs

## by Department of Psychology, University of Edinburgh

This is the page that contains the course labs materials […] Data Analysis for Psychology in R 1 (dapR1) is your first step on the road to being a data, programming and applied statistics guru! This course provides a introduction to data, R and statistics. It is designed to work slowly through conceptual content that form the basis of understanding and working with data to perform statistical testing. At the same time, we will be introducing you to basic programming in R, covering the fundamentals of working with data, visualization and simple statistical tests. The overall aim of the … Read more →

# Readings in applied data science

## by Qiushi Yan

Readings in applied data science […] This project is highly motivated and inspired by stats337 at Stanford University offered by Hadley Wickham, and Data Science with R: A Resource Compendium by Martin Monkman. They both provided great reading materials in data analysis with R, or applied data science in general. Here I attempt to finish one or two papers per week, draw a brief summary, and document my personal … Read more →

# 資料科學程式設計–進階

## by 國立臺北大學 林茂廷老師

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] 本課程為自主學習，電子書的每個章節會說明要讀那些參考資料，接著會有練習題組來測驗同學的理解狀況。 … Read more →

# Summary of Presentation at the International Justice Forum in Nur-Sultan 2019

## by Jesper Wittrup

My presentation in Nur-Sultan. […] Accurate measurement of court workload is an essential component of modern judicial management. Many tasks – including performance measurement, budgeting, allocation of judges and other staff, and assessments of judicial maps - crucially depend upon a proper measurement of judicial workload. Unfortunately, court workload is in many countries still primarily assessed by the total number of cases, not taking into account distinctions between routine cases and very complex and time-consuming cases. This article demonstrates – by reference to a concrete … Read more →

# Accessible Web Development

## by Kevin Morales

This book introduces a completely blind person to web development using HTML, CSS, and JavaScript. […] Welcome to Accessible Web Development! Up to today, any type of graphics programming, or any kind of software development that is visual in nature is inaccessible to people with complete vision loss, for ovbious and nonovbious reasons. To complicate matters further, text editors are mostly written with sighted programmers in mind. Furthermore, it is estimated that seventy percent of the legally blind population is unemployed. Developers of software libraries write their documentation and … Read more →

# Uber Movement dataset : playing with spatial data

## by Clement Lefevre

Using the Uber Movement dataset, we combine it with the OpenStreetMap data for Berlin. […] Uber released for some cities the datasets of their drivers movement. Those include the OSM way identifier, the mean and standard speed deviation. In order to anonymize them, the data have been aggregated per hour. Let’s have a look at the Berlin data for the month of June 2019, and how they are distributed in space and time. For this, we will combine those data with the OpenStreetMap shapefile for Berlin. Through this book, we will use some concepts of data analysis … Read more →

# Untitled

## by Slezák Martin

Untitled […] Ezzel az R kóddal lehet kirenderelni a könyvet RStudióból bookdown::publish_book(render = … Read more →

# Introducción a R y SIG

## by Paúl Bravo L. & Francisco Salgado C.

Introducción a R y SIG […] En esta guía tutorial, presentamos los conceptos y herramientas clave de R y su relación con los Sistemas de Información Geográfica. Articulo “Teach yourself programming in ten years” (Peter Norvig): http://norvig.com/21-days.html A Sufficient Introduction to R: https://dereksonderegger.github.io/570L/A_Sufficient_Introduction_to_R.pdf Introducción a R basada en las lecciones del paquete Swirl. Sean Kross, Nick Carchedi, Bill Bauer, Gina Grdina, Filip Schouwenaars, Wush Wu. R para principiantes: https://cran.r-project.org/doc/contrib/rdebuts_es.pdf RPubs (Daniela … Read more →

# Introduction to R Markdown

## by Michael Clark

This document will introduce participants to the basics of R Markdown. After an introduction to concepts related to reproducible programming and research, demonstrations of standard markdown, as well as overviews of different formats, will be provided, including exercises. […] … Read more →

# Notes on Modern Statistics for the Social and Behavioral Sciences (MSSBS)

## by Peter Baumgartner

This book accompanies “Rand, W. (2017). Modern Statistics for the Social and Behavioral Sciences: A Practical Introduction, Second Edition (New edition). Boca Raton, FL: Taylor & Francis Inc.”. I intend to learn and explore the concepts and procedures taught in this introductory book. Please keep in mind that this book is just a kind of training exercise for me. There will be no new insights presented, and as I am still learning the basics of R and statistics, you may find misunderstandings and errors in my writings. For authoritative reference, you have the consult the original book. Read more →

# Great Salt Lake Nutrient Analyses - figures only

## by Jake Vander Laan, Utah Division of Water Quality

Great Salt Lake Nutrient Analyses - figures only […] This is a figures only version of a set of GSL water quality and nutrient analyses. All data are drawn from USGS NWIS or EPA WQP. For details and code see: bookdown.org/jakevl/gsl-nutrients This project remains in active development and does not represent any official agency position. The first section, ‘Basic analyses & figures’, provides a set of contextual figures meant to characterize spatial and temporal variability of important water quality, lake elevation, and tributary discharge parameters. The second section, ‘Nutrient pools & … Read more →

# Make money with machine learning

## by Siraj Raval, revisited by Kim NOËL

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] This book is the personnal transcription of the course provided by Siraj Raval. A drama related to content copyright stained for Raval during this course, and many students including me were disturbed. This event swelled a lot and the motivation to progress in this course was affected. So I decided to propose a version with more explanations and details. I will provide a list of tutorials to follow in order to complete this course. This is a book written in … Read more →

# Bayesian Hierarchical Models in Ecology

## by Steve Midway

This is a book that is build on lectures from a course of the same name. […] Welcome to Bayesian Hierarchical Models in Ecology. This is an ebook that is also serving as the course materials for a graduate class of the same name. There will be numerous and on-going changes to this book, so please check back. And don’t hesistate to email me if you have questions, comments, or for anything else. To start, let’s calrify the title of this text—it should be Hierarchical Models in Ecology Using Bayesian Inference. A Bayesian Hierarchical Model is more a term of convenience than accuracy, as … Read more →

# ECON 41 Labs

## by Gabriel Butler UCLA Global Classroom

ECON 41 Labs […] This book is an R-based statistical programming companion for ECON 41 - Statistics For Economists, an undergraduate course for Economics majors offered at the University of California, Los Angeles. More specifically, it has been created to augment the version of this course that is offered at Jinling High School in Nanjing, Jiangsu, China as part of the Global Classroom program that is part of the UCLA International Institute. More basic information about our program and about me is available at the links below. Go Bruins! 金陵中学中美班，加油！ https://www.international.ucla … Read more →

# Field Guide to the R Ecosystem

## by Mark Sellors

This guide aims to introduce the reader to the main elements of the R ecosystem. […] This work is licensed under a Creative Commons Attribution 4.0 International … Read more →

# MANUAL PARA LA APLICACIÓN DE INDICADORES DE PRODUCCIÓN CIENTÍFICA EN EL ECUADOR ASOCIADO A SCOPUS

## by Aplicación por: Jeysson Chuquin, Wagner Salazar

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] El objetivo de este manual es conocer los índices de producción científica en el Ecuador asociado a Scopus, siendo la Producción Científica en Ecuador una de las actividades más representativas en el criterio de la evaluación institucional con un 9% de peso. La producción Científica es un factor importante para determinar la calidad de una IES (Institución de Educación Superior) y para determinar el crecimiento de un país. El presente manual presenta como es … Read more →

# Visualisation with Python

## by Jumping Rivers

Blah […] Jumping Rivers is an analytics company whose passion is data and machine learning. We help our clients move from data storage to data insights. Jumping Rivers has delivered quality data insights from day 1. Based in Newcastle and founded in 2016, the company is bringing a fresh approach to the world of data analytics. Jumping Rivers offer a number of training options in R and Python ranging from introductory programming to applied machine learning, automated reporting and app development. We also offer the facility to create bespoke training programs for our clients to make sure … Read more →

# 課程介紹

## by tpemartin

經濟資料視覺化 […] This course is designed to develop the skill of efficient graphic language, where efficiency is defined as the data information delivery that is self-contained, concise, and non-distorting. The programming language is mainly based on R, with a little bit of Javascript toward the end. Though there is no computer programming knowledge required, basic R knowledge will help (the ebook, R for Data Science, would be a good start). By the end of the course, students who learn well should be able to design professional … Read more →

# Regression Analysis using R and SAS

## by Sungchan Kang

This place is for writing regression book. […] Before we talk about regression theory, we need to review some basic statistical inference methods and matrix algebra. This book referred from many books including rowlings’ “Applied Regression Analysis: A research Tool”. (\beta=(\mathbf{X’X})^{-1}\mathbf{X’y}). A matrix is a square shape array of numbers (sometimes can be string). In this book, boldface letters mean matrices. For example, [ \mathbf{A}= \begin{pmatrix} 65 & 154 \ 73 & 182 \ 68 &167 \end{pmatrix}. ] This is a sample book written in Markdown. You can use anything that … Read more →

# Mál- og tegurfræði

## by Brynjólfur Gauti Jónsson

Glósur mínar úr áfanganum kenndum í Háskóla Íslands […] Vika 1: Mengjafræði, aukna rauntalnalínan, raðir. Vika 2: Jordan-mælanleg mengi, tröppuföll, Riemann-heildi. Vika 3: Legesbue: Utanmálið, mælanleg mengi og málið. Vika 4: Málrúm Vika 5: Vika 6: Vika 7: Heildanleg föll Vika 8: Vika … Read more →

# R Cookbook, 2nd Edition

## by James (JD) Long, Paul Teetor

Second edition of R Cookbook […] R is a powerful tool for statistics, graphics, and statistical programming. It is used by tens of thousands of people daily to perform serious statistical analyses. It is a free, open source system whose implementation is the collective accomplishment of many intelligent, hard-working people. There are more than 10,000 available add-on packages, and R is a serious rival to all commercial statistical packages. But R can be frustrating. It’s not obvious how to accomplish many tasks, even simple ones. The simple tasks are easy once you know how, yet figuring … Read more →

# R for Statistics in EPH

## by Daniel J Carter

R for Statistics in EPH […] Welcome to R for STEPH. This ‘book’ offers the chance to supplement your learning in Stata by conducting the computer practical sessions in R. By the end of this book, you will have enough proficiency in R to carry out a number of basic analyses and understand principles that will allow you to program more complex analyses. Any questions about the content in this book can be directed to Daniel Carter via email or via Twitter if you’re into that sort of thing. There is also the invaluable resource that is Stack Exchange. Chances are high that if you’re running … Read more →

# R for MSc DH/RSHR/Epi

## by Daniel J Carter

R for MSc DH/RSHR/Epi […] Welcome to the two day Introduction to R for MSc Epi and MSc RSHR. Before you attend the course, you will need to ensure you have your own R setup on your computer. The getting started page will instruct you how to do that. Please do this as early as possible before the course to ensure that you can get help if you encounter any issues. How to interact with this course: Course materials come in three flavours. First, there is the Bookdown file you are reading right now in your web browser - this contains all the code, output, exercise solutions (after the course is … Read more →

# Political Compass in the Random World

## by Tejendra Pratap Singh

On the robustness of the Political Compass […] This is to test how the Political Compass Test performs if it is supplied with randomly selected choices. Theoretically, it should gives us zero on the coordinate axis. I will insert the image of the result from the above values inserted in the Political Compass Test. Let’s see what happens. Results can be found at https://www.politicalcompass.org/yourpoliticalcompass?ec=-1.63&soc=-0.87. Although the resulting coordinates are very close to the origin, it looks like the test is made to elicit responses in the third quadrant. I also attach the … Read more →

# Rad: R for academics

## by Marius Mather

An accessible introduction to R that doesn’t assume programming experience […] This is an experiment in running some short, informal training sessions to get people started with a programming approach to data management and analysis. We’ll be using R, but a lot of the concepts in R will transfer to other software. There may also be some room to include some info about basic web design or other related topics - some of this can be done through R, and more info can be provided if needed. Training will be pitched at the beginner level - you don’t need to know the difference between a CSS and a … Read more →

# Métodos Cuantitativos

## by Aleksander Dietrichson, PhD

Material de Cátedra para el curso «Metodologías cuantitativas». […] Este texto ha sido editado en respuesta a la aparente falta de un libro de texto introductorio al análisis cuantitativo y estadísticas acesible y moderno en castellano. Si bien fue concebido como material de cátedra para Metodologías cuantitativas materia que dicta el autor en la Escuela de Humanidades de la Universidad Nacional San Martín, se adaptará fácilmente a cursos introductorios de estadísticas en … Read more →

# Lab Guide to Quantitative Research Methods in Political Science, Public Policy & Public Administration

## by Joseph Ripberger, Cody Adams, Alex Davis, and Josie Davis

A lab guide to quantitative research methods in R. … Read more →

# Open Forensic Science in R

## by Editor: Sam Tyner, Ph.D.

This book is for anyone looking to do forensic science analysis in a data-driven and open way. Whether you are a student, teacher, or scientist, this book is for you. We take the latest research, primarily from the Center for Statistics and Applications in Forensic Evidence (CSAFE) and the National Institute of Standards and Technology (NIST) and show you how to solve forensic science problems in R. The book makes some assumptions about you: This book free and is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 United States License. R Core Team. 2019. R: A Language … Read more →

# Introduction to R

## by Filip Wästberg

This book contains workshop material for 4 workshop held at tele2 during the autumn of 2019 […] During the workshops you will use R on both a cloud platform and on your own computer. If you have a previous R version installed on your computer we recommend that you update both R and RStudio. This book is written in R with the package bookdown built by Yihui Xie. You can find out more about bookdown … Read more →

# Men’s U-Sports Basketball Analysis

## by Michael Armanious

Sports Analytics […] Statistics in sports is a growing field in research that provides specialized methodology for collecting and analyzing sports data in order to make decisions for successful planning and implementation of new strategies [1]. Sports, particularly, have countless and ever-expanding data sources that can be used by analysts in order to extract objective information for use in aspects such as making predictions throughout seasons and enhancements in team and player performance. Broadly, Sports Analysis is described as the process of data management, predictive model … Read more →

# tmdlTools Guide

## by Elise Hinman

A step by step guide to using the R package, tmdlTools […] This guide walks watershed coordinators through installing R and its associated packages on their computer. If you still have questions about running R or the tmdlTools app, Elise Hinman is available and happy to assist you. … Read more →

# Applications of Machine Learning in Imputation

## by Vinayak Anand-Kumar

This document presents the findings from the 2018/19 project into the use of machine learning in imputation. […] I would like to acknowledge the following people in helping produce this report: Emily Tew and Gareth Clews for their guidance and support, in getting XGBoost up and running. Fern Leather, for getting CANCEIS to work. Really grateful for taking the time to run through the specification files with me. Luke Lorenzi and Vahe Nafilyan, for helping me put the pieces together, and helping me figure out how we can progress this work in the context of survey data. Editing and … Read more →

# Technical Foundations of Informatics

## by Michael Freeman and Joel Ross

The course reader for INFO 201: Technical Foundations of Informatics. […] Announcement: Starting in 2019, readings for the INFO 201 course will come from the textbook Programming Skills for Data Science, which is available to UW students for free via SafariBooksOnline or in print. Unless specifically directed to a section of this online text, you should refer to the Programming Skills for Data Science textbook. This book covers the foundation skills necessary to start writing computer programs to work with data using modern and reproducible techniques. It requires no technical background. … Read more →

# Data Analytics

## by Hans van der Zwan

Course notes Data Analytics course at The Hague University of Applied Sciences; lecturer J.H. van der Zwan […] Ismay C. & Kim A. Y. (2019). ModernDive. Statistical Inference for Data Science. https://moderndive.com. Rumsey D. J. (2010). Statistical Essentials for Dummies. Hoboken: Wiley … Read more →

# MSU I-O Student Mentorship Program User Manual

## by Eagle I-O

This is a Users Manual for the Montclair State University I-O Psychology student mentorship program. The intended users are: 1) mentors, 2) protege’s, 3) Eagle I-O consultants, and 4) MSU I-O program faculty members. […] This manual was written in Bookdown using the GitBook … Read more →

# Estadística Básica Edulcorada

## by Alejandro Quintela del Rio

Estadística y probabilidad básica, con aplicaciones y elementos históricos. […] Advertencia: Libro en fase de elaboración. No se recomienda copiar trozos, puesto que después podría haber lloros si hay acusaciones de plagio. La estadística para gente inteligente. Este libro está bajo licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Los paquetes o librerías que se utilizan en este libro son las que siguen. Para ejecutar trozos de código particulares no habría que instalar todas, pero, si en algún momento la ejecución de algún ejemplo da error, podría … Read more →

# Exploratory Analysis Project

## by Matheus Amaral Mões, Marcelo Semerene Farah, Luísa Belus Henriques and Daniela de Góes N. Georg

This project is part of a lesson from FGV’s MBA on Business Analytics and Big … Read more →

# 国内任天堂 Switch 使用情况与玩家需求调查报告

## by OldNin

国内任天堂 Switch 玩家的小调查。 […] Nintendo Switch™1是日本任天堂公司出品的电子游戏机，于2017年3月3日发售。2019年4月26日，腾讯宣布将与任天堂合作，在中国代理发售任天堂 Switch 主机。28月2日，腾讯携手任天堂的 Nintendo Switch 首度亮相第十七届中国国际数码互动娱乐展览会（ChinaJoy 2019），并于上午在上海浦东香格里拉大酒店举办了主题为“奇乐同享，‘任’式好游戏”的媒体见面会。3 2019年8月12日，我通过个人微博、百度贴吧（NS吧和Switch吧，帖子不幸被隐藏）、QQ群、微信群、抽屉新热榜（帖子有幸被小编推上热榜）和IT之家（获得几个用户回复）这几个平台发放了问卷填写链接。8月13日，问卷填写链接被知任CHS、NS新闻速报和黑桐谷歌等媒体和大博主转发后，问卷回 … Read more →

# Polar-ICE Sci-I Project Development & Implementation Guide

## by Kristin Hunter-Thomson and Jacoby Baker

Lessons learned from running the Polar-ICE Sci-I Project for others to take and run with in their locations! […] Welcome to our Science Investigations (Sci-I) Project Development & Implementation Guide. This document provides an overview of how we developed and implemented the Sci-I Project from 2015-18 through the Polar-ICE grant funded by the National Science Foundation Polar Division (Grant #PLR-1525635). Because our funding source was related to the polar regions, we had a polar emphasis of content throughout our implementation of the project. However, the Sci-I Project can be run with … Read more →

# R for Geospatial Processing

## by Nicolas Roelandt

This is the training materials for the R for Geospatial Processing workshop at FOSS4G 2019, Bucarest (Romania). […] This workshop is designed for the attendance of FOSS4G 2019. So basics knowledge in GIS is expected (simple features, projections and CRS, geometrical operations, etc.). No knowledge of R is required. A minimal knowledge of (R)mardown will be a plus to take notes. Please install R on your system and the following libraries. Please follow installation instructions from the CRAN projet. The {sf} library needs several geospatial core libraries (GDAL, GEOS, PROJ) so please follow … Read more →

# Quantitative Research Methods for Political Science, Public Policy and Public Administration: 4th Edition With Applications in R

## by Hank Jenkins-Smith, Joseph Ripberger, Gary Copeland, Matthew Nowlin, Tyler Hughes, Aaron Fister, Wesley Wehde, and Josie Davis

Quantitative Research Methods for Political Science, Public Policy and Public Administration: 4th Edition With Applications in R […] The idea for this book grew over decades of teaching introductory and intermediate quantitative methods classes for graduate students in Political Science and Public Policy at the University of Oklahoma, Texas A&M, and the University of New Mexico. Despite adopting (and then discarding) a wide range of textbooks, we were frustrated with inconsistent terminology, misaligned emphases, mismatched examples and data, and (especially) poor connections between the … Read more →

# Introduction to Time Series Analysis and Forecasting in R

## by Tejendra Pratap Singh

Scripts from the online course on Time Series and Forecasting in R. […] Selecting the model. Due to seasonality involved, simple models will not be able to capture it. We therefore use the seasonal ARIMA and exponential smoothing models. Exponential smoothing models have seasonality built in it by construction. Complex models like mixed models and neural nets will be an overkill. … Read more →

# Descenso Internacional del Sella

## by Sergio Berdiales

En este libro voy publicando mis notas sobre el Descenso Internacional del Sella. De momento solo he explorado los tiempos de los ganadores absolutos de la prueba, es decir, del K2 … Read more →

# How to Build a Shiny Application from Scratch

## by Hadrien@rstudio.com

How to Build a Shiny Application from Scratch […] Shiny is a powerful R package which allows you to create interactive web applications using the R programming language. It is particularly useful for creating applications that run on data and include some sort of data analysis or visualization. In addition to leveraging the power of R and its thousands of packages, one of the big benefits of shiny is the ease of developing applications using R only. Although it is possible to incorporate more traditional web design languages such as custom CSS or Javascript into your shiny application, it … Read more →

# A Guide to Reproducible Research

## by Callum Arnold

This is a book that provides the foundations for good project structure and organisation. It guides you in what reproducible research is, and how we can implement it. If you would like to contribute to, and expand upon, sections, please submit a pull request on the GitHub Repo. Equally, please submit pull requests if you spot a typo or a mistake! […] This book’s focus is on how to produce reproducible research, and should serve as an introduction to data management and project organisation. Through the course of this document, we explain techniques that can be employed easily to help add … Read more →

# AWS Tutorial

## by Bingwei Liu

# R for Graduate Students

## by Y. Wendy Huynh

This is a beginner’s guide to coding in R. […] Meet the Author Hello! My name is Wendy Huynh and I am a current PhD student working in the behavioral neurosciences. I began my R journey at the end of my first year of graduate school, slowly and painfully piecing together code. Although programming was never really part of my program, I now see it as an integral part of my work. Many fellow graduate students expressed interest in learning R, but didn’t know where to begin. Programming with R is still relatively niche among my cohort and there are very few formal classes teaching this … Read more →

# R Installation Guide

## by Integrated Report Team

A step by step guide to installing R and the necessary R packages needed to perform secondary reviews. […] This guide walks secondary reviewers through installing R and its associated packages on their computer. A snapshot of the commands required to run the R packages is available on the “Install or Access R Tools” card on the Current Report Development Trello Board. Please refer to the FAQs section for answers to common questions, but note that this section will grow as we move through the process as group. If you still have questions about running R or the secondary review apps, the … Read more →

# Dokumentasjon av utdanningsfaglig kompetanse

## by Tormod Bøe Førsteamanuensis

Dokumentasjon av utdanningsfaglig kompetanse […] I kapitlene indikerer at teksten er hentet fra “Dokumentasjonskrav fra UiO”. https://www.uio.no/om/organisasjon/utvalg/utdanningskomiteen/moter/2018/mote-nr-10/rapport-fra-arbeidsgruppen-for-merittering-med-vedlegg.pdf https://www.uhr.no/temasider/karrierepolitikk/opprykksordninger/ https://www.uhr.no/_f/p1/i667c848f-8845-47e9-b8b6-fddfbde6782d/nasjonale_retningslinjer_vurdering_opprykk_professor_psykologi_npp_juni_2015.pdf https://lovdata.no/dokument/SF/forskrift/2018-09-12-1322 … Read more →

# Eagle I.O Consultant Guidelines

## by Eagle I.O

This is the student guideline manual that describes expectations and responsibilities of Eagle I.O consultants. […] This manual was written in Bookdown using the GitBook … Read more →

# OcFund QGG海内外基金调研

## by 施旸 Yvette

2019 Intern Report Collection […] 你好，世界。 … Read more →

# Introductory Resources: Statistics and R

## by Statistics Team, PPLS

This is the main page of the course and contains the materials to help you going with R […] This course is designed for those who will be joining a third year Research Methods and Statistics (RMS) course and covers a number of introductions to topics which are core to statistical analysis in psychology and beyond. You will find here an introduction to R as a tool to analyse data, visualize it and to use it for a very very basic analysis of the relationships in your data. It will further revise some of the most commonly used statistical tests and provide you with a guidance how to set up and … Read more →

# An R Exercise in Data Collection, Cleaning, and Merging U.S. Census Data

## by Sean Conner

An R Exercise in Data Collection, Cleaning, and Merging U.S. Census Data […] This document is intended as a follow-along tutorial for learning how to perform data collection and cleaning with R. To the best of my ability, I have tried to make this illustrative of real data and real tasks that anyone from a social science student to a county government official might actually encounter. To that end, I am building upon actual projects that I have worked on as a graduate research assistant to convey this information. For context, previously, I conducted a Mississippi case study of how indoor … Read more →

# Learn RDataTable

## by Vikram Singh Rawat

This book is a guide to rich world of RDataTable […] R is Already a Slow Language please don’t defame it by using even slower packages. … Read more →

# DJing to Dolphins

## by Ian K Salter

The 2017 tales of a voyage sailing away from Brexit Britain. […] The tales of a 2017 voyage sailing away from Brexit Britain reflecting on fake news with the help of the philosophies of science and mathematics. To Natalie - for once upon a time, on the banks of the Thames, encouraging me to keep writing. Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. © Ian K Salter 2017, 2018, … Read more →

# Agile Machine Learning with R

## by Edwin Thoen

A workflow for doing machine learning in the R language, using Agile principles. […] Not even too long ago, when I was starting my career as a data scientist, I did not really have a workflow. Freshly graduated from an applied statistics master I entered the arena of Dutch business, employed by a small consulting firm. Neither the company I was with, nor the clients I was working for, nor myself had an understanding of what it meant to implement a statistical model or a machine learning method in the real world. Everybody was of course interested in this “Big Data” thing, so it did not take … Read more →

# Introduction to Data Exploration and Analysis with R

## by Michael Mahoney

A detailed introduction to coding in R and the process of data analytics. Version 1.0.0 […] Welcome to Introduction to Data Exploration and Analysis in R (IDEAr)! This book is designed as a crash course in coding with R and data analysis, built for people trying to teach themselves the skills needed for most analyst jobs today. You won’t need any past experience with R or data analytics - the aim of the book is to work as a primer for people of all backgrounds. This book is currently being continuously deployed to bookdown.org and GitHub while editing continues. This is so that I can get … Read more →

# Data Analysis and Processing with R based on IBIS data

## by Kevin Donovan

Data Analysis and Processing with R based on IBIS data […] Over the course of my time working with the Carolina Insitute for Developmental Disabilities (CIDD) and the Infant Brain Imaging Study (IBIS) network, I have seen a great interest in learning how to do basic statistical analyses and data processing among the trainees. Specially, there is an interest in learning how to use R, due to its popularity across the sciences and its zero financial cost. As a statistican in training, I feel it is a great benefit for scientists to learn R. It is vital for scientists to understand the … Read more →

# jamoviで学ぶ心理統計

## by Danielle J Navarro & Dvid R Foxcroft（著） 芝田征司（訳）

『jamoviで学ぶ心理統計』は心理学専攻の統計法入門クラス向けのテキストです。本書では，jamoviの使い方やデータ操作の方法についても扱います。統計の部分では，記述統計とグラフの作成について扱った後，確率理論，標本と推定，帰無仮説検定について説明します。理論についての説明の後は，分割表の分析，相関，t検定，回帰，分散分析について説明します。本書の最後では，ベイズ統計についても取りあげます。This book is a Japanese translation of learning statistics with jamovi. […] 本書はDavid Foxcroft氏が作成した『Learning … Read more →

# Common statistical tests are linear models: a work through

## by Steve Doogue

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] This is a reworking of the book Common statistical tests are linear models (or: how to teach stats), written by Jonas Lindeløv. The book beautifully demonstrates how many common statistical tests (such as the t-test, ANOVA and chi-squared) are special cases of the linear model. The book also demonstrates that many non-parametric tests, which are needed when certain test assumptions do not hold, can be approximated by linear models using the rank of values. … Read more →

# Decision-Driven Data Analytics for Well Placement Optimization in Field Development Scenario - Powered by Machine Learning

## by Peyman Kor

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] Submitted in accordance with the requirements for the degree of Master of Science (M.Sc)in Petroleum EngineeringUniversity of Stavanger, Energy Resources Department The data, source code and algorithem of this thesis can be found in the author’s Github. Your feedback and comments will be appreciated and the author could be reached out via Linkedin, twitter. This thesis is licensed under Attribution-NonCommercial-ShareAlike 4.0 … Read more →

# RStudio para Estadística Descriptiva en Ciencias Sociales

## by Giorgio Boccardo Bosoni y Felipe Ruiz Bruzzone

RStudio para Estadística Descriptiva en Ciencias Sociales […] En su segunda edición este libro fue editado en RStudio mediante RMarkdown y compilado usando el paquete Bookdown. Su ejecución se efectuó en una distribución del sistema operativo Linux de tipo Mint, específicamente en su actualización 19.1 “Tessa” y variante Cinnamon Edition. Para evitar algunos problemas derivados de la actualización del kernel de Linux se utilizó el software R en su versión 3.4.4, aunque a la fecha de su publicación, R ya había lanzado a su versión 3.6. Para evitar incongruencias entre algunas dependencias de … Read more →

# Fatal Force Study Group - Shiny App

## by marwaelatrache

Fatal Force Study Group - Shiny App […] The Fatal Force Study Group (FFSG) was founded at the University of Washington (UW) by professor Martina Morris. Morris has a strong background in Sociology and Statistics and after joining an activism group called Not This Time she decided to start investigating fatal encounters with police, along with a group of UW undergraduate students. Since then the group has been joined by Professor Ben Marwick, an UW archaeology professor with a strong interest in statistics and R, as well as several more undergraduate students from both UW and neighboring … Read more →

# Time Series Midterm Review

## by David Josephs

A hopefully helpful guide … Read more →

# PPLS PhD Training Workshop: Statistics and R

## by Anastasia Ushakova and Emma Waterston

This is the main page of the course and contains a course overview, schedule and learning outcomes. […] During this intensive workshop we will cover a number of introductions to topics which are core to statistical analysis in applied research. This will include introduction to R as a tool to analyse data, visualize it and to use it for a very very basic analysis of the relationships in your data. We will further revise some of the most commonly used statistical tests and provide you with a guidance how to set up and interpret them in R. We will introduce you to simple linear model and … Read more →

# 課程大綱

## by tpemartin

經濟資料視覺化處理 […] This course is designed to develop the skill of efficient graphic language, where efficiency is defined as the data information delivery that is self-contained, concise, and non-distorting. The programming language is mainly based on R, with a little bit of Javascript toward the end. Though there is no computer programming knowledge required, basic R knowledge will help (the ebook, R for Data Science, would be a good start). By the end of the course, students who learn well should be able to … Read more →

# Feature Engineering and Selection: A Practical Approach for Predictive Models

## by Max Kuhn and Kjell Johnson

A primary goal of predictive modeling is to find a reliable and effective predic- tive relationship between an available set of features and an outcome. This book provides an extensive set of techniques for uncovering effective representations of the features for modeling the outcome and for finding an optimal subset of features to improve a model’s predictive performance. […] A note about this on-line text: This book is sold by Taylor & Francis Group, who owns the copyright. We will be updating this version as we find errors or typos (see the Errata). The physical copies are sold by Amazon … Read more →

# Hackathon Talento - Reto 2 - Wind Farm

## by Sergio Berdiales, Javier Campos y Manuel Antonio García

Hackathon Talento - Reto 2 - Wind Farm […] Este notebook nace de nuestra participación el 4 de junio de 2019 como equipo en el Hackathon de Machine Learning organizado por Talento Corporativo y patrocinado por EDP, El Comercio, Clustertic y BigML. La competición consistió en el planteamiento de un par de retos de Machine Learning basados en datos de EDP y en los que había que utilizar la herramienta BIGml para ejecutar los modelos. El contenido de este notebook corresponde a la realización del segundo reto, cuyo planteamiento se describe en el apartado uno. Durante la competición la mayor … Read more →

# Hackathon Talento - Reto 1 - SUNLAB

## by Sergio Berdiales, Javier Campos y Manuel Antonio García

Hackathon Talento - Reto 1 - SUNLAB […] Este notebook nace de nuestra participación el 4 de junio de 2019 como equipo en el Hackathon de Machine Learning organizado por Talento Corporativo y patrocinado por EDP, El Comercio, Clustertic y BigML. La competición consistió en el planteamiento de un par de retos de Machine Learning basados en datos de EDP y en los que había que utilizar la herramienta BIGml para ejecutar los modelos. El contenido de este notebook corresponde a la realización del primer reto, cuyo planteamiento se describe en el apartado uno. Durante la competición la mayor parte … Read more →

# 數量方法（一）

## by 林茂廷老師

數量方法（一）電子書 […] 授課老師： 林茂廷 辦公室：社科大樓3F01 諮詢時間：TBA 電話：02﹣86741111轉67170 Email：mtlin@gm.ntpu.edu.tw … Read more →

# 空间广义线性混合效应模型及其应用

## by 黄湘云

Spatial generalized linear mixed models, Stationary Spatial Gaussian Process, Stan platform, Markov chain Monte Carlo. […] 空间统计的内容非常丰富，主要分为地质统计 （geostatistics）、 离散空间变差 （discrete spatial variation） 和空间点过程 （spatial point processes） 三大块 (Cressie 1993)。 地质统计这个术语最初来自南非的采矿业 (Krige 1951)， 并由 Georges Matheron 及其同事继承和发展，用以预测黄金的矿藏含量和质量。空间广义线性混合效应模型 （Spatial Generalized Linear Mixed Model，简称 SGLMM） 在空间统计中有着广泛的应用，如评估岩心样本石油含量，分析核污染物浓度的空间分布 (Diggle, Tawn, and … Read more →

# University of Calgary ARC Manual

## by Naomi J. Goodrich-Hunsaker, Ph.D.

University of Calgary ARC Manual […] This manual contains all of the code developed to run neuroimaging programs on the University of Calgary Arc high performance computing systems. If you need more general information or further clarification, visit my website at http://biabl.com or email me at naomi.hunsaker@utah.edu. … Read more →

# Proyecto Final: Suicidios en México y EU

## by Chávez Mañón Tania Nayeli, Mendoza Suárez Brenda Grisel, Vargas Mendoza Ana Luisa

Proyecto Final: Suicidios en México y EU […] La motivación de este proyecto es conocer cuáles podrían ser los factores más significativos que llevan a una persona al suicidio para poder prevenirlo. Country: País. Categorías: Mexico, United States Year: Año. Categorías: 1985:2015 Sex: Género. Categorías: female, male Age: Edad. Categoriías: 5-14 years, 15-24 years, 25-34 years, 35-54 years, 55-74 years, 75+ years Suicides: Número de suicidios. Population: Población. HDI: Human development index (Índice de Desarrollo Humano) GDP_PP: Gross domestic product per Capita (Producto Interno Bruto) … Read more →

# Lecture Notes voor Beleidsinformatica

## by B. Depaire

Dit zijn de lecture notes van het opleidingsonderdeel Beleidsinformatica […] Dit document bevatten de lecture notes voor het opleidingsonderdeel Beleidsinformatica (3512), gedoceerd aan de Universiteit Hasselt. Ieder hoofdstuk dient ter ondersteuning van een van de hoorcolleges en bevat zowel een samenvatting in “bullet-point” stijl alsook een verzameling bronnen op basis waarvan het hoorcollege is opgebouwd. We raden aan om deze lecture notes steeds kort na het hoorcollege door te nemen en aan te vullen met je eigen notities uit het college. Ook raden we aan de bronnen te raadplegen voor … Read more →

# Preguntas entrevistas Data Science

## by Sergio Berdiales

Preguntas entrevistas Data Science […] En estas notas trato de responder a diferentes preguntas que un candidato para una posición de Data Scientist se puede encontrar en una entrevista. Muchas de las preguntas vienen directamente de artículos sobre este tema específico (enlaces en la sección ‘02-Referencias’), otras de mi experiencia personal y otras de aportaciones de otras personas. Aquí enlazo una Google sheet con las preguntas que voy recopilando. Si tienes alguna pregunta interesante y quieres añadirla al listado, adelante. Este es el repositorio en github: https://github.com/sergiober … Read more →

# Utah DWQ’s irTools R package: An automated approach to state-wide water quality assessment

## by Jake Vander Laan (jvander@utah.gov), Elise Hinman, & Emilie Flemer, Utah Division of Water Quality

Utah DWQ’s irTools R package: An automated approach to state-wide water quality assessment […] This document provides a background and demonstration of the Utah DWQ IR Team’s re-development and automation of water quality assessment tools. This document consists of three components: 1. A background section describing the objectives, tools, and approach to developing new water quality assessment tools. 2. A full-scale demonstration of the current state of this new toolset via the application of these tools to a subset of water quality parameters from the 2016 IR period of record dataset … Read more →

# Juego de Tronos - Explorando sus datos

## by Sergio Berdiales

Juego de Tronos - Explorando sus datos […] El objetivo de este libro de bookdown es simplemente jugar un poco con los datos de la serie de televisión Juego de Tronos (HBO). Todo el código y los datos empleados se encuentran en este repositorio de Github https://github.com/sergioberdiales/game_of_thrones. Cualquier consulta, queja o sugerencia me la puedes enviar vía twitter twitter.com/SergioBerdiales … Read more →

# From Madrid to Santiago de Compostela, 2019

## by Robin and Katy

Photobook of our trip from Madrid to Santiago via Salamanca, Ourense and the Camino de Compostela. […] Welcome to our photobook of our travels through Spain in May … Read more →

# R 数据分析指南与速查手册

## by 郭晓

这是郭晓的R数据分析笔记本。 […] 郭晓，北京大学电子学2018届硕士。数据分析从业者，R语言、机器学习持续精进学习中。爱好知识的整理、挖掘与应用。 联系方式：xiaoguodata@126.com … Read more →

# Seeing through the developping lens:

## by Paul Langard

Seeing through the developping lens: […] Through this project, we aim to decipher post-transcriptional regulation network in the developping lens. In the past decades, post-transcriptional gene regulation (PTGR) was shown to be of particular importance in the developping lens. Indeed, the alteration of PTGR network can result in abnormal development of the lens, of the eye. For example, mutations in RNA binding proteins such as Celf1, Stau2, Tdrd7 has been associated to eye’s defects in animal models. mutation in RNA binding protein Tdrd7 was associated with juvenile cataract in human and … Read more →

# Overview of suicide in the world

## by Axel-Cleris Gailloty

Overview of suicide in the world […] According to the WHO Suicides organization, 800.000 committed suicide in 2018. This means every 40 seconds a person dies by suicide. This number is fortunately dropping. In this kernel I want to explore the evolution of suicide rate using the dataset provided here on Kaggle. I’ll be using the powerful R language to do this analysis, my main focus is to understand what affects the suicide rate to decrease. Let’s start by loading the packages we’ll be using throughout this study. Before we go further in this analysis, it is important to know what each … Read more →

# Calidad del aire en Gijón

## by Sergio Berdiales

Calidad del aire en Gijón […] Los objetivos principales de este proyecto son realizar análisis y visualizaciones de los datos de la estaciones oficiales de monitorización de la calidad del aire de la ciudad de Gijón. Este proyecto es hermano de este otro https://bookdown.org/sergioberdiales/tfm-kschool_gijon_air_pollution/, que fue mi trabajo final del Máster de Data Science en Kschool (por eso hay algunas partes del código comentadas en inglés). En él, además de tratar los datos y realizar distintos ejercicios de visualización de los mismos (ver visualizaciones en Tableau Public), realicé … Read more →

# Основы обучаемых алгоритмов интеллектуальных систем

## by Митрохин Максим Александрович

Учебно-методическое пособие включает набор лабораторных работ по созданию алгоритмов машинного обучения для решения практических задач. В издании содержится необходимый набор теоретических сведений по методологии анализа данных и используемых алгоритмах. Выполнение работ предполагает использование языка программирования Python 3.5. Лабораторный практикум подготовлен на кафедре «Вычислительная техника» и предназначен для обучающихся по направлениям подготовки 09.03.01, 09.04.01, изучающих дисциплины «Основы интеллектуальных систем», «Интеллектуальные … Read more →

# Lab Guide to Quantitative Research Methods in Political Science, Public Policy & Public Administration.

## by josiesmith

Lab Guide to Quantitative Research Methods in Political Science, Public Policy & Public Administration. […] This book is a companion to Quantitative Research Methods for Political Science, Public Policy and Public Administration (With Applications in R): 4th Edition, an open-source text book that is available here. It grew from our experiences teaching introductory and intermediate quantitative methods classes for graduate students in Political Science and Public Policy at the University of Oklahoma. We teach these courses using a format that pairs seminars on theory and statistics with … Read more →

# DSBA-5122 Final Project

## by Nicholas Occhipinti, Karyn Cook, Ziyin Liu

The final report for DSBA-5122 Final Project […] For our project we explored data related to opioids, in an effort to better understand and obtain insight into the opioid epidemic. Our domain problem is one for a researcher wanting to explore the connection between prescriber rates of opioid prescriptions and opioid-related deaths both in the country as a whole and drilling down to the state level. The first part of the data we examined was prescriber data. This data would allow the researcher to see the distribution of opioid prescriptions across the US and also find the most commonly … Read more →

# Statistical Rethinking with brms, ggplot2, and the tidyverse

## by A Solomon Kurz

This project is an attempt to re-express the code in McElreath’s textbook. His models are re-fit in brms, plots are redone with ggplot2, and the general data wrangling code predominantly follows the tidyverse style. […] I love McElreath’s Statistical Rethinking text. It’s the entry-level textbook for applied researchers I spent years looking for. McElreath’s freely-available lectures on the book are really great, too. However, I prefer using Bürkner’s brms package when doing Bayeian regression in R. It’s just spectacular. I also prefer plotting with Wickham’s ggplot2, and coding with … Read more →

# DWQ’s irTools package: An automated approach to water quality assessment

## by Jake Vander Laan, Elise Hinman, & Emilie Flemer, Utah Division of Water Quality

DWQ’s irTools package: An automated approach to water quality assessment […] This book provides a background and demonstration of the Utah DWQ IR Team’s re-development and automation of water quality assessment tools. This book consists of two components: 1. A background section describing the objectives, tools, and approach to developing new water quality assessment tools, and 2. A full-scale demonstration of the current state of this new toolset via the application of these tools to the 2016 IR period of record dataset (2008-2014). The source code for this book is available via GitHub … Read more →

# Tank Guide

## by Marina Wiebe

This is a book regarding how to take care of my tank […] So, you’ve been tasked with taking care of your girlfriend’s hobby tank. It’s a pretty thing and it looks easy enough, but what’s all involved? This book will give you an idea of the tank buddies, tools, and … Read more →

# Building Web Applications with Shiny and SQL Server

## by Matthew Sharkey

A guide to building scalable Shiny Datbase applications […] This book supplements my presentation at the Omaha R User Group on Thursday, April 4, … Read more →

# Dissertating with RMarkdown and Bookdown

## by thea_knowles

A preliminary tutorial led by Thea Knowles for the R-Ladies #LdnOnt workshop series Last updated: … Read more →

# Techincal Analysis with R

## by Ko Chiu Yu

This is an introductory textbook that focuses on how to use R to do technical analysis. […] R is widely used in statistical computation. It is well-suited to do computationally heavy financial analysis. In particular, evaluating performance of trading rule based on technical indicators. Moreover, R can be one-stop solution to the whole procedure of data analysis. A standard procedure of financial data analysis is: You can do all of them inside R without using other software. This short book is a short introduction on how to use R and RStudio to do financial data analysis from the beginning. … Read more →

# MODELING MELODIC DICTATION

## by David John Baker

This dissertation models both individual and musical features that contribute to processes involved in melodic dictation. […] All students pursuing a Bachelor’s degree in Music from universities accredited by the National Association of Schools of Music must learn to take melodic dictation (NASM 2019, sec. VIII.6.B.2.A). Melodic dictation is a cognitively demanding process that requires students to hear a melody, then without any access to an external reference, transcribe the melody within a limited time frame. As of 2019, there are 643 Schools of Music belonging to National Association of … Read more →

# The twinetverse

## by John Coene

A guide to visualise networks of Twitter interactions in R using the twinetverse. […] The goal of the twinetverse is to provide everything one might need to analyset and visualise Twitter interactions, from data collection to visualisation. The following pages will walk you trough the packages contained within the twinetverse, from collecting twitter data to building various types of networks to visualising them. The ’verse focuses on ease of use and interactivity. The source code for this book can be found on Github. You can suggest edits to this book by highlighting a section of text and … Read more →

# 一个简单的PTE教程

## by 邱睿

一个简单的PTE教程 […] … Read more →

# BIOL3360 - Analysis and Communication of Biological Data:

## by janengelstaedter

This online textbook contains learning material for the UQ (The University of Queensland) course BIOL3360: Analysis and Communication of Biological Data. This book is organised with each chapter corresponding to lectures from the Mathematical Modelling component of the course. This book contains many code chunks that can be copied and pasted into an R console to create Shiny apps of the models being discussed. Content and figures were created by Jan Engelstädter. Online version including Shiny apps were created by Nicole Fortuna. Read more →

# Bookdown

## by Arredondo Sánchez Andrea Elizabeth, Vargas Mendoza Ana Luisa

Yihui Xie es ingeniero de software de RStudio, autor de distintos paquetes como knitr, blogdown, xaringan, tinytex y bookdown. Además, ha colaborado en importantes paquetes como Shiny y RMarkdown. Ha publicado libros como “bookdown: Authoring Books and Technical Documents with R Markdown” del cual nos basaremos para hablar de Bookdown. Bookdown es un paquete de R que nos ayuda a integrar multiples documentos de R Markdown en un solo archivo con formato HTML, PDF,… . Este archivo puede ser un manual de usuario, nuestras notas de estudio e incluso nuestro diario. En él podemos agregar y editar … Read more →

# Data Visualization in R

## by Brooke Anderson

Online booklet for conference workshop on data visualization with R, geared to those who have never used R. […] I have based this workshop on examples for you to try yourself, because you won’t be able to learn how to program unless you try it out. I’ve picked example data that I hope will be interesting to Navy and Marine Corp public health researchers and practitioners. You can download the slides from the workshop by clicking here. To try out these examples, you need some set-up: This section will walk you through each step. R is free and open-source software. You can download a copy for … Read more →

# Machine Learning

## by Michael Clark

This document provides an introduction to machine learning for applied researchers. While conceptual in nature, demonstrations are provided for several common machine learning approaches of a supervised nature. In addition, all the R examples, which utilize the caret package, are also provided in Python via scikit-learn. […] … Read more →

# Data Science avec R

## by Fousseynou Bah

Data Science avec R […] En décidant d’écrire un livre sur la data science, j’ai longuement débattu dans ma propre tête, je me suis posé plusieurs questions dont une qui revenait constamment: “a-t-on vraiment besoin d’un autre livre sur la data science?” “N’en-t-on pas assez?” Avec le succès dont jouit la discipline, ce n’est certainement pas les ressources qui manquent, aussi bien en ligne que dans les librairies. Et surtout, je me demandais bien “qu’avais-je à dire qui n’avait pas été dit”? Et pourtant, quelques raisons m’ont poussé à reconsidérer ma position. La première est assez égoïte. … Read more →

# Predictive Soil Mapping with R

## by Tomislav Hengl and Robert A. MacMillan

Predictive Soil Mapping aims to produce the most accurate, most objective, and most usable maps of soil variables by using state-of-the-art Statistical and Machine Learning methods. This books explains how to implement common soil mapping procedures within the R programming language. […] This is the online version of the Open Access book: Predictive Soil Mapping with R. Pull requests and general comments are welcome. These materials are based on technical tutorials initially developed by the ISRIC’s Global Soil Information Facilities (GSIF) development team over the period 2014–2017. This … Read more →

# Predictive Soil Mapping with R

## by Tomislav Hengl and Robert A. MacMillan

Predictive Soil Mapping aims to produce the most accurate, most objective, and most usable maps of soil variables by using state-of-the-art Statistical and Machine Learning methods. This books explains how to implement common soil mapping procedures within the R programming language. […] This is the online version of the Open Access book: Predictive Soil Mapping with R. Pull requests and general comments are welcome. These materials are based on technical tutorials initially developed by the ISRIC’s Global Soil Information Facilities (GSIF) development team over the period 2014–2017. This … Read more →

# PhD Training Workshop: Statistics in R

## by Anastasia Ushakova and Milan Valasek

This is the main page of the course and contains a course overview, schedule and learning outcomes. […] During this intensive workshop we will cover a number of introductions to topics which are core to statistical analysis in applied research. This will include introduction to R as a tool to analyse data, visualize it and to use it for a very very basic analysis of the relationships in your data. We will further revise some of the most commonly used statistical tests and provide you with a guidance how to set up and interpret them in R. Lastly, we will introduce you to simple linear model … Read more →

# Utah TDS wqTools vignette

## by Jake Vander Laan, Utah Division of Water Quality

Utah TDS wqTools vignette […] This vignette shows an example of using wqTools functions to extract and analyze statewide patterns of one water quality parameter, total dissolved … Read more →

# Minimal-Git-demo

## by PoMingChen

This is a minimal example of Git service through GitHub and the GitHub Desktop. […] 小瑜是一位社會人文科學相關主修的學生，學習上常常會需要寫報告，動則數千字到上萬字，以下是他管理檔案的方式，他承認有時候快被自己氣死…..會不會有時自己也這樣XD 截圖 後來，因緣際會地留意到Git這個東西，一套能夠讓開發者得以進行版本控制的程式。 往後用了Git之後，從此事半功倍好棒棒，檔案內容追蹤管理都方便許多，一起來瞧瞧Git到底是哪裡這麼厲害！ 與其他教材稍有不同的是，這本書規劃先從輕鬆的GitHub平台環境介紹開始，版本控制的學習則用圖形化介面（GUI）的GitHub Desktop實作來建立觀念，同時說明上嘗試以情境實作的方式來想像Git能 … Read more →

# Generalized Additive Models

## by Michael Clark

An introduction to generalized additive models (GAMs) is provided, with an emphasis on generalization from familiar linear models. It makes extensive use of the mgcv package in R. Discussion includes common approaches, standard extensions, and relations to other techniques. More technical modeling details are described and demonstrated as well. […] … Read more →

# An Incomplete Solutions Guide to the NIST/SEMATECH e-Handbook of Statistical Methods

## by Ray Hoobler

Analysis of case studies and exercies with a focus on using the tidyverse and ggplot2. This handbook was created using the bookdown package in RStudio. The output format for this example is bookdown::gitbook. […] Exploratory Data Analysis (EDA) is a philosophy on how to work with data, and for many applications, the workflow is better suited for scientist and engineers. As a scientist, we are trained to formulate a hypothesis and design a series of experiments that allow us to test the hypothesis effectively. Most data, however, doesn’t come from carefully controlled trials, but from … Read more →

# The Status Quo Bias in Referendums

## by Sveinung Arnesen, Troy S. Broderstad, Mikael P. Johannesson, Jonas Linde

This is an analysis report of a comparative conjoint study on the legitimacy of EU referendums. […] This is the analysis report for the conjoint experiment of the Wiggle room study by Sveinung Arnesen, Troy S. Broderstad, Mikael P. Johannesson, and Jonas Linde. The experiment was fielded in France, Germany, Iceland, Norway, Sweden, and the Netherlands as part of the 2017 European Internet Panel Study (EIPS); a collaboration between six European probability-based online survey panels. The 2017 joint survey wave was fielded in France by the L’ ́etude longitudinale par internet pour les … Read more →

# Practical R Package Development (Japanese)

## by Hiroaki Yutani

Practical R Package Development […] Rのパッケージ開発については「R Packages」（Hadley Wickham、2015）に詳しいが、Rのパッケージ開発にはここ数年で様々な変化があった。 幸い、同書は第2版に向けて大幅に書き直される予定1なので、賢明なRパッケージ開発者はそれを待つのがいいだろう。本書は、あくまでもそれまでのつなぎのような存在として、むしろ筆者のメモ代わりとして、衝動的に書き殴られたものだ。Rパッケージ開発の基礎はすっとばし、新たなトピックを中心に取り扱う。信用がおける知識についてはあくまでも「R Packages」を参照されたい。 本書は、「R Packages」に載っていないことを中心に書く、という性質上、あまり初心者向けではないかもしれない … Read more →

# «Волопас и Северная Корона»

## by Dmitry Gorodnichy

Tales and Songs of Dmitry Gorodnichy […] Давным давно, когда ни тебя, ни меня, ни даже моих пра-пра бабушек, пра-пра дедушек ещё не было, да и вообще людей ещё не было, а было только Небо и были Звёзды, жил был принц, которого звали Волопас, и принцесса, которую звали Северная Корона. Они не знали друг друга, жили в разных странах, разговаривали на разных языках. Но одно у них было общее - они одинаково любили красоту и музыку, как часть этой красоты. – А почему их так необычно звали? И что дальше было? – О, Это очень длинная и очень красивая история, а точнее много разных историй. Но … Read more →

# Entre le terre et le ciel

## by ΔΓ

by Dmitry Gorodnichy […] Песни сегодняшнего и завтрашнего дня (Песни с земли и с неба) На украинском, русском, французском и английском. Зимний блюз Сверху … Read more →

# «Детский альбом»

## by Дмитрий Городничий

«Детский альбом» […] Музыка и слова: Дмитрий Городничий, кроме 6 (слова и музыка: Роксана Городничая), 16-17 (слова: Афанасьева), 21 (музыка: Гедике), 22 (музыка: Глинка) Версия для печати: PDF, EPUB. Online: https://bookdown.org/gorodnichy/amour (рабочая версия: http://IVIM.ca/dg/amour). Слушать на Soundcloud: https://soundcloud.com/dmitry-gorodnichy/sets/amour. Книга издана с использованием bookdown. Источник на github. Dmitry Gorodnichy, IVIM Inc. © 1992-2012. All Rights Reserved. The use of copyrighted material for non-commercial purposes is allowed. The reference to the source is … Read more →

# «Le long de la voie lactée» (Love songs

## by Дмитрий Городничий

«Le long de la voie lactée» (Love songs […] Песни неразделённой любви. На украинском, русском, французском и английском языках. Музыка и слова: Дмитрий Городничий. В записи альбома также участвуют: Андрей Городничий, Екатерина Лаврентьева, Людмила Городничая. Версия для печати: PDF, EPUB. Online: https://bookdown.org/gorodnichy/amour (рабочая версия: http://IVIM.ca/dg/amour). Слушать на Soundcloud: https://soundcloud.com/dmitry-gorodnichy/sets/amour. Книга издана с использованием bookdown. Источник на github. Dmitry Gorodnichy, IVIM Inc. © 1992-2012. All Rights Reserved. The use of … Read more →

# «По ту сторону горизонта»

## by Дмитрий Городничий

Farewell songs (by Dmitry Gorodnichy) […] В этот альбом вошли песни, рождённые чувствами расставания - расставания с домом, с юностью, любимым человеком, с эпохой. Они охватывают несколько эпох - от самых ранних моих песен, когда я расставался с институтом, где учился, и своими первыми студенческими друзьями, до песен, посвященных моему отъезду из дома в далёкую Канаду, и наконец последних, выплеснувшихся под болью утраты близких и родных. Несколько редких семейных видео вошли сюда, также как и несколько выступлений в русских школах и на фестивалях авторской песни. Музыка и слова: Дмитрий … Read more →

# What does the plant do?

## by Otho Mantegazza

A Planter’s Punch that quickly got out of hand […] I wrote this booklet a couple of years ago, while I was working at CEPLAS. – Plants collect energy from sunlight and use it to produce fruits that we eat, fibers that we wear and much, much more; in a process called photosynthesis. This process is fundamental for our life on Earth, and it has been intensively studied for centuries by scientists. Scientists like me, like us. Here I’ll give you a glimpse of our scientific research. After a very short introduction to photosynthesis, I’ll explain to you one of its details and one of the methods … Read more →

# Data Science con R: Fundamentos y Aplicaciones

## by BEST: Behavioral Economics & Data Science Team

El mejor libro en espanol de ciencia de datos, libre y abierto. […] Nota: El libro se encuentra en etapa de desarrollo. Este libro ha sido elaborado por BEST. Hace unos años el término Data Science no era tan conocido ni utilizado por la comunidad internacional, y menos aún local (Perú). En realidad, era un término usado rara vez por los estadísticos y algunos miembros de la computación científica. Y es que nuestra sociedad ha evolucionado, y con ellos ciertas necesidades. La Ciencia de Datos ha venido para quedarse, y en cualquier profesión (economistas, psicólogos, biólogos, … Read more →

# APS 135: Introduction to Exploratory Data Analysis with R

## by Dylan Z. Childs

Course book for Introduction to Exploratory Data Analysis with R (APS 135) in the Department of Animal and Plant Sciences, University of Sheffield. […] This is the online course book for the Introduction to Exploratory Data Analysis with R component of APS 135, a module taught by the Department and Animal and Plant Sciences at the University of Sheffield. You can view this book in any modern desktop browser, as well as on your phone or tablet device. Dylan Childs is running the course this year. Please email him if you spot any problems with the course book. You will be introduced to the R … Read more →

# Machine Learning with Rust

## by Tae Geun Kim

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] 최근들어 기계학습(Machine Learning)은 점차 중요해지고 있습니다. 학습된 기계들은 바둑이나 게임에서부터 프로들을 가뿐히 눌렀고, 연구나 업무를 훨씬 효율적으로 해결합니다. 그러나 단순히 모두가 한다고 해서 섣부르게 시작하다가는 결과가 나와도 해석하지 못하거나 혹은 애초에 잘못된 결과가 나올 수도 있습니다. 따라서 이 책에서는 단순히 Machine Learning Framework를 사용하는 것이 아닌, 밑바닥부터 차근차근 이론을 적용하여 Machine Learning을 학습하고자 합니다. 그러기 위해서 우리는 Rust라는 프로그래밍 언어와 매우 유명한 Bishop의 … Read more →

# Bilingual Christmas songs

## by gorodnichy

A compilation of Christmas song favourites for multi-lingual families, with chords […] … Read more →

# UPR-PRISE Data Science Workshop 01/26/2019

## by Felix E. Rivera-Mariani, PhD

This manual is part of data science workshop titled GPS of Data Analytics: Making the Witness (the Data) Confess. The output format for was elaborated with bookdown::gitbook. […] Welcome to the data science workshop titled The GPS of Data Analytics: Making the Witness (the Data) Confess. In this workshop, sponsored by the University of Puerto Rico Ponce Research Initiative for Scientific Enhancement, students will learn and implement different aspects of data science, from establishing a set of tools necessary to carry out data science to deploying statistical models through coding, … Read more →

# CFPS 之R语言学习笔记

## by 王敏杰

一个简单的中文书示例。 […] 你好，我的初衷是想记录学习北京大学开放数据平台中的中国家庭追踪调查CFPS1数据集的过程，也帮助同学们用R语言快速的重复相关研究。 这本书是这样的， 第 1 章介绍CFPS的情况， 第 2 章介绍农村土地流转研究， 第 3 章介绍劳动力流动、家庭收入与农村人力资本投资， 第 4 章介绍社会资本与精准扶贫，然后是啥啥…… 每个章节研究的内容都是彼此独立的，大家可以单独阅读和运行代码。 我用了两个 R 包编译这本书，分别是 knitr (Xie 2015) 和 bookdown (Xie 2018)。以下是我的 R 进程信息： 非常感谢谁谁以及谁谁对我的帮助。艾玛，要不是他们神一样的队友，我两年前就写完这本书了。 Xie, Yihui. 2015. Dynamic Documents with R and Knitr. 2nd ed. Boca Raton, Florida: Chapman; Hall/CRC. … Read more →

# Gijón Air Pollution - An exercise of visualization and forecasting

## by Sergio Berdiales

Gijón Air Pollution - An exercise of visualization and forecasting […] My name is Sergio Berdiales and I am a Data Analyst with more than ten years experience in Customer Experience and Quality areas. If you want to know more about me or contact me you can visit my Linkedin profile or my Twitter account. This is my final project for the Kschool Master on Data Science (8th edition). The main objective of this project is to show I can apply the acquired knowledge during the master’s course in a practical way . The Master on Data Science of Kschool is a 230-hour course which includes Python … Read more →

# Supplement to Shiny in Production

## by kellobri.github.io

This document is full of supplemental resources and content from the Shiny in Production Workshop delievered at rstudio::conf 2019. … Read more →

# Ian and Molly’s Odyssey

## by Ian K Salter

The story of a small journey in Autumn 2016. […] This very short book documents a voyage through France taken in the autumn of 2016. Its two participants head south in their car Dot. The purpose of their journey is … Read more →

# Learning statistics with R: A tutorial for psychology students and other beginners. (Version 0.6.1)

## by DJ Navarro

Learning Statistics with R covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software. The book discusses how to get started in R as well as giving an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing ﬁrst, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, … Read more →

# Visualization

## by Stanford Data Lab

This is a book on data visualization using ggplot2 created for the Stanford Data Challenge Lab. […] This is a … Read more →

# Statistical Rethinking

## by Brynjólfur Gauti Jónsson

These are solutions from the book by Richard McElreath. … Read more →

# Economía Conductual: Fundamentos y Aplicaciones

## by BEST: Behavioral Economics & Data Science Team

El mejor libro en español de economía conductual, libre y abierto. […] Entender el comportamiento de las personas o de la sociedad, es un tema fascinante. Hace algunos siglos atrás, el profeta Isaías escribió: La economía conductual toca este tema, desde una perspectiva cientìfica, apoyado de la psicología y economía. El libro se compone de 4 partes. Parte I cubre la parte introductoria. El capítulo I Adam Smith, Padre de la Economía Conductual, se enfoca en los orígenes de la economía y de la economía conductual, ambos teniendo a Adam Smith como padre de ambos campos de estudio. El … Read more →

# Tidyverse Cookbook

## by Malte Grosser

Simple cookbook for functions and idioms within the scope of the tidyverse. […] The basic idea of this book is to provide a documentation of the tidyverse written in a solution driven cookbook style. As an extra I would like to provide similar solutions based on base R functionality. Some reasons to write this book: One strength of the tidyverse is that it hides a lot of quirks that base R provides and inherits to many packages that rely on it. This allows to stick to a specific workflow from the point you enter the tidyverse until you leave it. This is why I highly recommend to head your … Read more →

# Base de datos corporativa de personas

## by Fernando Izco

Documentación de la prueba de concepto de la base de datos corporativa de personas […] Este documento describe principalmente la prueba de concepto ejecutada como parte del estudio de viabilidad 22173 EV - Base de datos corporativa de personas Este primer capítulo es un resumen ejecutivo. En caso de querer profundizar más sin perderse en detalles técnicos, consultar también el capítulo 2, ‘Concepto de Solución’. Los demás capítulos describen la prueba de concepto, con el detalle técnico de la implementación. Atariak eta Ezagutza Kudeatzeko Atala / Sección de Portalización y Gestión del … Read more →

# POSEIDON tutorial

## by Ernesto Carrella

This is a basic tutorial on how to use POSEIDON and set it up to explore basic fishery problems. I try to cover everything that does not require changing any of the Java code […] This is a simple tutorial on using POSEIDON, a fishery agent-based model. You can read more about this project by reading its main paper or looking at the code repository. This guide will not explain or require any analysis of the java code. I try here to simply show what can be done by just using the graphical user interface and basic text … Read more →

# Writing papers with R and friends

## by Tormod Bøe

This is a guide on how to write scientific papers from R. Mostly written for myself by myself […] A scientific paper consists of many pieces, traditionally, at least in psychology, some regular components … Read more →

# Arboles de decision y Random Forest

## by Johanna Orellana Alvear - johanna.orellana@ucuenca.edu.ec

Arboles_de_decision_y_Random_Forest […] “The key to artificial intelligence has always been the representation.” —Jeff Hawkins Aquí los detalles del curso . Aquí los datos que usaremos durante el curso. Breve recapitulación de R (Capítulo 2) Entorno de RStudio y ayuda (0.2 h) Directorios, scripts y librerías (0.3 h) Tipos de datos básicos y compuestos (0.5 h) Lectura y escritura de archivos (0.5 h) Indexación (1 h) Subconjuntos (1 h) Funciones (0.5 h) Arboles de Decisión - parte I Arboles de Decisión - parte II Random Forest - parte I Random Forest - parte … Read more →

# Notes for ST463/ST683 Linear Models 1

## by Katarina Domijan, Catherine Hurley

These are the notes for ST463/ST683 Linear Models 1 course offered by the Mathematics and Statistics Department at Maynooth University. This module is offered at as a part of of MSc in Data Science and Data Analytics. It is an introductory course for students who have basic background in Statistics, Data analysis, R Programming and linear algebra (matrices). […] There are many good resources, e.g. Weisberg (2005), Fox (2005), Fox (2016), Ramsey and Schafer (2002), Draper and Smith (1966). We will use Minitab and R (R Core Team 2017). To create this document, I am using the bookdown package … Read more →

# Escritura de libros con bookdown

## by Fernández-Casal, R. y Cotos-Yáñez, T.R.

Este libro es una introducción al paquete bookdown para la escritura de libros (en castellano, galego, …). […] Este libro es una pequeña guía sobre como emplear el paquete bookdown de R para la escritura de libros, incluyendo algunos detalles de configuración para la escritura en otros idiomas distintos del inglés (castellano, galego,…). Este mismo libro ha sido escrito en R-Markdown empleando el paquete bookdown y está disponible en el repositorio Github: rubenfcasal/bookdown_intro. Para generar el libro (compilar) puede ser recomendable instalar la última versión de RStudio y la versión … Read more →

# Computational Communication Science mit R

## by André Calero Valdez

Dieses Buch befindet sich zur Zeit in Arbeit. […] Dieses Buch soll einen Überblick über Computer-basierte Methoden der Kommunikationswissenschaft verschaffen und in Form eine Lehrbuchs die wichtigsten Inhalte zusammenfassen. Zu allen Themen, die in diesem Buch bearbeitet werden, gibt es bereits besser geeignete Bücher, die die entsprechenden Theorien, Methoden und Techniken detailliert und ausführlich betrachten. An geeigneter Stelle wird auf diese Quellen verwiesen. Die zentrale Idee hinter diesem Buch ist die Vereinheitlichung des Forschungsprozesses und die digitale Unterstützung durch … Read more →

# Tidy Portfoliomanagement in R

## by Sebastian Stöckl

First try on a book on tidy Portfolio Managment in R. […] This book should accompany my lectures “Research Methods”, “Quantitative Analysis”, “Portoliomanagement and Financial Analysis” and (to a smaller degree) “Empirical Methods in Finance”. In the past years I have been a heavy promoter of the Rmetrics tools for my lectures and research. However, in the last year the development of the project has stagnated due to the tragic death of its founder Prof. Dr. Diethelm Würtz. It therefore happened several times that code from past semesters and lectures has stopped working and no more support … Read more →

# Lösningar i R till vissa uppgifter från övningskompendierna

## by Erik Stenberg

Lösningar för vissa uppgifter i kursen Statstik A4/A8 […] Detta dokument är till för dig som läser kursen Statistik A4/A8 och är nyfiken på R. Innehållet är tänkt att förena lite nytta (lösa uppgifter) med nöje (lära dig lite R). Det är inte meningen att detta dokument skall fungera som en heltäckande introduktion till programmeringsspråket R. Det finns mängder av väldigt välskrivna guider online som fokuserar mycket mer på hur språket är uppbygt. Lyckligtvis är R väldigt enkelt att komma igång med, och det krävs inte mycket förståelse för själva språket för att göra enkla beräkningar, … Read more →

# 文科生数据科学上手指南

## by 王树义

你大概经常听别人提起，技术的门槛在降低。 数据科学、机器学习、自然语言处理、神经网络、人工智能……一系列的名词让你眼花缭乱，让你对这个时代充满兴奋的感觉。你跃跃欲试，希望自己动手，也能用新技术做出卓有成效的工作。 但是，如果你不是IT专业的学生，特别糟糕的是，你还是一名文科生，那你可能会逐渐发现，技术的世界似乎不那么友好。 你只想对文本提取主题，人家给你写了这么长的公式： 你想做个时间序列的预测，结果人家告诉你，一个处理单元，就有这样的结构： 除了迅速“从入门到放弃”，你还能怎么办？ 别急，这不是真相。 真相是，只要你知道如何找到正确的工具包，就可以用短短几行代码，完成从前需要手工干几天的活儿。不信？可以看看我这篇 … Read more →

# Clustered Data

## by Michael Clark m-clark.github.io

This document provides a brief comparison of various approaches to dealing with clustered data situations. […] … Read more →

# Graphical & Latent Variable Modeling

## by Michael Clark m-clark.github.io

This document focuses on structural equation modeling. It is conceptually based, and tries to generalize beyond the standard SEM treatment. It includes special emphasis on the lavaan package. Topics include: graphical models, including path analysis, bayesian networks, and network analysis, mediation, moderation, latent variable models, including principal components analysis and ‘factor analysis’, measurement models, structural equation models, mixture models, growth curves, item response theory, Bayesian nonparametric techniques, latent dirichlet allocation, and more. Read more →

# R 语言入门，给一心只有学习的你

## by Chris Qi from Data Maniac

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] 想直接上手的同学，可以跳过这一部分，从安装软件开始。如果软件已经安装了，可以跳到第二章。对于喜欢把书从头读到未的同学，欢迎从这里开始。 看到这个题目，你以为我会跟你絮絮叨叨讲一个软件的发展史？这种东西听一耳朵就可以了，写出来都浪费纸墨，噢，这是电子书，不用纸也不用墨，但是打字也费劲儿呀。所以在这里，我就做个大概介绍吧： R是一门用于统计计算和作图的语言，由S语言发展而来，以统计分析功能见长。 R 是新西兰的罗斯.伊哈卡 (Ross Ihaka)和罗伯特.金特尔曼（Robert … Read more →

# An Introduction to Text Processing and Analysis with R

## by Michael Clark m-clark.github.io

This document covers a wide range of topics, including how to process text generally, and demonstrations of sentiment analysis, parts-of-speech tagging, word embeddings, and topic modeling. Exercises are provided for some topics. […] … Read more →

# Cod Prediction

## by Liam

关于货到付款支付方式的客户的拒收预测 […] 货到付款是一种是一种非常受用户青睐的支付方式，对于客户而言，货到付款更加安全，特别是对于一些电商不发达的的确，货到付款能够有效的打消用户对于网购的不信任。 对于商家而言，货到付款这种支付方式不利于现金的流动，并且，有一部分人会在货到了之后不付款，也就是拒收。拒收的原因很多，很简单的就是不想要了。 一般而言，货到付款的拒收率可以高达20%，这将造成很大的运营成本。因此，本文利用机器学习的方法，对用户是否回拒收进行预测。 … Read more →

# An Introduction to R and LaTeX

## by Yuleng Zeng

An introduction to R for political scientists. […] This is an introduction to R and Latex. In compiling this documents, several sources have been consulted, including Tim Peterson’s website, Havard’s Math Prefresher, and the course offered by DataCamp. Make sure that you have a laptop throughout this introduction. Install the following applications, if you haven’t done so. Finally, this document is to be used in-class only. As I (will) mention several times, it borrows and merges a lot of resources online. Also, if you see any mistakes or have suggestions, please do shoot me an … Read more →

# R para principiantes

## by Juan Bosco Mendoza Vega

Un libro introductorio a R, dirigido a personas sin experiencia previa con lenguajes de programación. […] Propósito del libro R para principiantes pretende ser un materal introductorio al lenguaje de programación R, dirigído a personas que nunca han usado R o ningún otro lenguaje de programación, ni tiene conocimiento previo de probabilidad y estadística. Este libro tiene como propósito que adquieras los fundamentos del uso de R como un lenguaje de programación, desde sus conceptos más elementales, hasta la definición de funciones y generación de gráficos. No son objetivos de este libro que … Read more →

# TensorFlow 学习笔记

## by Leo Van | 范叶亮

TensorFlow 学习笔记 […] 本作品是针对 Tensorflow 深度学习框架的学习笔记，参考的相关资料包括： 本作品使用 R 语言的 Bookdown 扩展包构建，在线版本托管在 https://bookdown.org/leovan/TensorFlow-Learning-Notes ，离线版本请访问托管网站下载。 本作品中使用的部分图标来自 Papirus 图标集。 本作品编译的 PDF 采用 Chapman & Hall 出版社提供的 LaTeX 模板 krantz.cls，英文衬线字体采用 Alegreya，英文无衬线字体采用 Helvetica，中文衬线字体采用 Source Han Serif SC，中文无衬线字体采用 Source Han Sans SC，中文斜体字体采用 Kaiti SC，中英文等宽字体采用 Sarasa Mono SC，数学公式字体采用 Latin Modern Math。 本作品采用 … Read more →

# Introducción a estadística con R

## by Matias Andina

Este libro introduce conceptos de estadística utilizando R. Está principalmente orientado a estudiantes que deseen aplicar e incrementar sus conocimientos estadísticos usando un lenguaje de programación. Sin embargo, aquellos usuarios que tengan algo de experiencia con R y quieran aventurarse a aumentar sus conocimientos estadísticos pueden encontrar utilidad en los capítulos más avanzados. […] R es quizás el lenguaje más desarrollado para realizar análisis exploratorios de datos y estadística. Debido a que posee una naturaleza dinámica, gratuita, open-source, y una comunidad que trabaja … Read more →

# R语言忍者秘笈

## by 谢益辉, 肖楠, 坑主三, 坑主四

本书要写什么其实我也不太清楚。迷迷瞪瞪中，感觉写一些奇门遁甲之术会比较有趣吧，算是程序猿/媛的自娱自乐了，如果在自娱自乐之外，读者能学到一些有用的技能，那就更好了。 […] R语言 (R Core Team 2018) 是由统计学家发明的一门程序语言，这个特殊的背景让这门语言在计算机专业人士眼中看起来也许很奇怪：语法松散、数据结构不严谨、充斥着黑魔法，等等。如果能结合数据分析的背景去看待它，就会发现它还是有很多精妙之处的。 学一门语言不可能通过两天时间把语法看完了事就行，必须得实战练习：一来巩固语法，二来增加经验值。本书根据统计之都论坛（http://cos.name/cn/）六年中近六千帖子和三万回帖整理并加入作者的个人经验而写成。我们找的有这样几种帖子： … Read more →

# Bayesian Basics

## by Michael Clark

This document provides an introduction to Bayesian data analysis. It is conceptual in nature, but uses the probabilistic programming language Stan for demonstration (and its implementation in R via rstan). From elementary examples, guidance is provided for data preparation, efficient modeling, diagnostics, and more. […] … Read more →

# Field Epidemiology with R

## by Tomás J. Aragón

A book example for a Chapman & Hall book. […] The document format “R Markdown” was first introduced in the knitr package (Xie, 2015, 2018) in early 2012. The idea was to embed code chunks (of R or other languages) in Markdown documents. In fact, knitr supported several authoring languages from the beginning in addition to Markdown, including LaTeX, HTML, AsciiDoc, reStructuredText, and Textile. Looking back over the five years, it seems to be fair to say that Markdown has become the most popular document format, which is what we expected. The simplicity of Markdown clearly stands out among … Read more →

# A short course on Survival Analysis applied to the Financial Industry

## by Marta Sestelo

This is a short course on survival analysis applied to the financial field. […] This book is designed to provide a guide for a short course on survival analysis. It is mainly focussed on applying the stastical tecnquines developed in the survival field to the financial industry. The emphasis is placed in understanding the methods, building intuition about when aplying each of them and showing their application through the use of statistical … Read more →

# Understanding Work With Data in Summer STEM Programs Through An Experience Sampling Method Approach

## by Joshua M. Rosenberg

This is Joshua Rosenberg’s dissertation […] Data-rich activities provide an opportunity to develop core competencies in both science and mathematics identified in curricular standards. Perhaps even more importantly work with data puts learners in the position to use data to ask and answer questions, a potentially empowering capability. Research on work with data has focused on cognitive outcomes and the development of specific practices at the student and classroom levels, and yet, little research has considered learners’ engagement. The present study explores learners engagement in work … Read more →

# Introducción a la Computación con GPUs usando R

## by Ronald Gualán Saavedra

Revisión de conceptos clave sobre la computación GPGPU, y algunos ejemplos simples de uso de librerías aceleradas por GPU […] Las GPU (Graphics Processing Units; Unidades de Procesamiento de Gráficos) son unidades de procesamiento diseñadas originalmente para procesar gráficos en una computadora rápidamente. Esto se hace teniendo una gran cantidad de unidades de procesamiento simples para cálculos masivamente paralelos. La idea de la computación de propósito general en GPU (GPGPU: general purpose GPU computing) es explotar esta capacidad para el cálculo general. En este tutorial se revisará … Read more →

# HPC con R para Investigadores

## by Johanna Orellana Alvear - johanna.orellana@ucuenca.edu.ec

HPC con R para Investigadores […] “Programmers waste enormous amounts of time thinking about, or worrying about, the speed of noncritical parts of their programs, and these attempts at efficiency actually have a strong negative impact when debugging and maintenance are considered.” — Donald Knuth. Optimizar código para hacerlo más rápido es un proceso … Read more →

# Macroeconomics

## by Mau-Ting Lin

This is a collection of the discussion lists from Macroeconomics. […] The theory contents will follow 1 closely. Item 2 is for data visualization. And item 3 is for general discussion regarding world news. https://goo.gl/kbQwP5 Class participation and quizzes: 10% Midterm Exam: 30% Final Exam: 30% Others Rhttp://www.r-project.org/ RStudiohttp://rstudio.org/ Github desktophttps://desktop.github.com/ … Read more →

# Data Visualization Project

## by Chiayi Yen

Data Visualization Project […] This study aims at investigating how the change of information dissemination process would affect the window-dressing behaviors of mutual fund managers. By convention, window-dressing is defined as the portfolio manipulations right before the quarter-end date, when all the fund managers are required to disclosure their holding firms of that date. Over the past decades, technological progresses largely change the way how information disseminates, and these further influence the information flow of capital markets. For example, the implementation of “Electronic … Read more →

# «Two Lives» by Concordia Antarova

## by gorodnichy

«Two Lives» by Concordia Antarova: text translation and analysis […] This work presents the working draft of the English translation of the “The Lives” book by Concordia Antarova. Widely known in Russian speaking spheres, and translated into French, this book remains to be largely unknown to English speaking population, despite its significant spiritual importance, comparable to that of “Book of Joy”. While the efforts on translating this book into English continue, here the draft of it is used for Artificial Intelligence (AI) projects, aiming at building the systems for automated analysis … Read more →

# «Кубатура Шара»

## by Андрей Городничий

Poetry of Andrey Gorodnichy […] Версия для печати: PDF, EPUB. Online: https://bookdown.org/gorodnichy/andre. … Read more →

# Foundations of Statistics with R

## by Darrin Speegle

This book is written for the purposes of teaching STAT 3850 at Saint Louis University. […] This is a book on probability and statistics suitable for the sophomore or junior level at university. We assume knowledge of calculus at the level of Calculus II. We do not assume prior experience with statistics or programming, though students who have no experience with either statistics or programming before starting this class should expect to have to work hard. We will be using R as an integral part of the exposition — you should not read this book without first getting R Studio installed. We … Read more →

# Thucydides the Neorealist?

## by J.W.Biggs

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] Thucydides has long been viewed as an early exemplar of realist thinking in International Relations Theory. More recently, neorealist authors have claimed that Thucydides’ History offers insights into the importance of the anarchy in shaping interstate relations, and should be recognised as a neorealist. This neorealist appropriation has met substantial criticism and many revisionist scholars have urged a re-examining of Thucydides. This dissertation serves … Read more →

# 圖書推薦系統

## by 林凱浩

碩士論文 […] 電子書網址： Github repo:https://github.com/tpemartin/thesis-book-recommendation bookdown使用者說明 LyX 註冊RSconnect bookdown::publish_book()或bookdown::publish_book(account=“帳戶名”) … Read more →

# 通識課程推薦系統

## by 蔡國梁

碩士論文 […] 電子書網址： Github repo:https://github.com/tpemartin/thesis-GE-recommendation bookdown使用者說明 LyX 註冊RSconnect bookdown::publish_book()或bookdown::publish_book(account=“帳戶名”) … Read more →

# 網頁外掛功能：GA,Share,Comments

## by 國立臺北大學經濟學系-經濟時事與多媒體出版

迷你課程 […] 電子書網址：https://bookdown.org/tpemartin/minicourse-webplugins/ 首先你必需： 在Atom: 點privacypolicy.html 將以下兩個訊息換成你的訊息 https://your_website_url your_email … Read more →

# Hello Py: Python 程式設計

## by Pyradise

Pyradise 是專注於 Python 教學的團隊，致力於分享學習經驗，推廣資料科學，人工智慧，讓更多人能參與到這波資訊與人工智慧的學習浪潮。 專注於技術，熱衷於教學的開發者，希望透過教學，傳遞出更多想法的帽子哥。 資料科學與推廣教育的愛好者，閒暇時喜歡長跑與乒乓球；是 2017 iT邦幫忙鐵人賽 Big Data 組冠軍。 前端工程師與設計師。 … Read more →

# Introduction to Digital Currency

## by J.W.Biggs

A summary of research conducted hitherto. […] This is research I have conducted for personal use. Using the bookdown package has enabled me to piece together my research in a quick and neat manner. I have tried to convey complex terms as simply as possible utilizing visual examples where I can. Constructive criticism is welcomed - I will regularly be updating this … Read more →

# 認識 R 的美好

## by 郭耀仁

是郭耀仁，資料科學與推廣教育的愛好者，喜歡使用 R 語言與 Python 做資料科學應用，在台大資工系統訓練班開設多門 R 語言與 Python 的相關課程，亦與企業合作提供客製化的內訓課程；同時也是一個超棒的中文資料科學專欄 DataInPoint 的主編；這個專欄與波士頓的資料科學教學團隊 DataCamp 有行銷合作（Affiliate Marketing）。 如果您有 R 語言、Python、資料科學、教學、專案或顧問的需求，可以 email 與我聯絡：tonykuoyj@gmail.com R 語言是一個高階的統計程式語言，她在 2017 IEEE 調查中排名位於第 6 名，1是以資料分析為主要目的程式語言中的最高位。其他熟為人知的像是 Matlab 排名在第 15 名、SQL 排名在第 23 名、 Julia … Read more →

# Meu log de leitura de R for Data Science

## by Marcos V. C. Vital - LEQ-UFAL

Meu log de leitura de R for Data Science […] Se tem alguma pessoa que pode ser considerada um “pop star” do R, seria o Hadley Wickham: o cara é responsável pelo ggplot2 e pelo dplyr, que são alguns dos pacotes mais populares do R! Mas são justamente pacotes que eu quase não uso… :( Deixe eu explicar melhor. Eu sou usuário do R há muitos anos (fiz as contas de cabeça enquanto eu escrevo, e se não me enganei, agora em 2018 seriam uns 13 ou 14 anos!), então já tem um bocado de tempo que aprendi a como resolver (e ensinar) algumas coisas. Até aí tudo bem. Acontece que o Hadley trouxe uma … Read more →

# Lecture Notes voor Business Process Management (3637)

## by B. Depaire

Dit zijn de lecture notes van het opleidingsonderdeel Business Process Management […] Dit document bevatten de lecture notes voor het opleidingsonderdeel Business Process Management (3637), gedoceerd aan de Universiteit Hasselt. Deze lecture notes dienen ter ondersteuning van de colleges en bevatten zowel een “bullet-point” samenvatting van de voornaamste topics alsook een verzameling van bronnen voor verdere verdieping in de … Read more →

# ggplot2 介紹

## by 林茂廷老師

ggplot2 介紹 […] hypothes.is: https://hypothes.is/groups/eBBqEGde/minicourse-ggplot2 要在hypothes.is貼上程式碼時，請依下例張貼： ggplot2 cheatsheet Computing for the Social Sciences, U.Chicago. ggplot2part of the … Read more →

# Lösningar i R till vissa uppgifter från övningskompendierna (samt lite annat kul)

## by Erik Stenberg

Lösningar för vissa uppgifter i kursen Statstik A4/A8 […] Detta dokument är till för dig som läser kursen Statistik A4/A8 och är nyfiken på R. Innehållet är tänkt att förena lite nytta (lösa uppgifter) med nöje (lära dig lite R). Det är inte meningen att detta dokument skall fungera som en heltäckande introduktion till programmeringsspråket R. Det finns mängder av väldigt välskrivna guider online som fokuserar mycket mer på hur språket är uppbygt. Lyckligtvis är R väldigt enkelt att komma igång med, och det krävs inte mycket förståelse för själva språket för att göra enkla beräkningar, … Read more →

# Lecture Notes voor Exploratieve en Descriptieve Data Analyse

## by B. Depaire

Dit zijn de lecture notes van het opleidingsonderdeel Exploratieve en Descriptieve Data Analyse […] Dit boek bevat de lecture notes voor de cursus “Exploratieve en Descriptieve Data Analyse” (1ste Ba Handelsingenieur/Handelsingenieur in de Beleidsinformatica) aan de Universiteit Hasselt. Het idee van dit document is een begeleidende tekst aan te reiken ter ondersteuning van de slide-decks die gebruikt worden tijdens de hoorcolleges. Deze tekst is “bullet-point” gewijs opgebouwd en helpt het verhaal dat tijdens het hoorcollege wordt verteld terug op te roepen. Daarnaast zal er per hoofdstuk … Read more →

# 统计学习方法 – 基于R的算法实现

## by lcrfromfzu@qq.com

This is a minimal book created by using the bookdown package. The output format for this little book is bookdown::gitbook. […] 本文档的发布依赖于bookdown包, 对作者表示感谢! 文档所写R代码的依据算法来源于统计学习方法(李航著), 对作者表示感谢! 文档章节内容具体包括: … Read more →

# 網頁入門

## by 林茂廷老師

網頁入門 […] 語法查詢： … Read more →

# useR! Machine Learning Tutorial

## by Erin LeDell

useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive. […] useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive This tutorial contains training modules for six popular supervised machine learning methods: Here are some practical, related topics we will cover for each algorithm: Instructions for how to install the necessary software for this tutorial is available here. Data for the tutorial can be downloaded… Certain algorithms don’t scale well when there are millions of features. For example, decision trees require computing some sort of metric (to determine the splits) on all … Read more →

# Noções de Inferência no R

## by Thalita do Bem Mattos

Esta apostila é uma ferramenta de apoio às aulas teóricas de ME319-Noções de Inferência. […] O objetivo desta apostila é apresentar os conceitos de inferência ministrados em sala de aula na disciplina ME319 - Noções de Inferência de uma forma prática e intuitiva utilizando recursos computacionais como o software R. ME319 - Noções de Inferência - IMECC/UNICAMP Após fazer a instalação do R vamos instalar o RStudio. O RStudio é uma nova interface para o R com diversas propriedade que facilita o uso do … Read more →

# An R Platform for Social Scientists

## by Burak AYDIN, James ALGINA, Walter LEITE, Hakan ATILGAN

R book for social scientists […] The online version of this platform is licensed under the CC0 by Burak AYDIN. We aim to create a platform for the applied social scientists in which we can demonstrate basic statistical procedures using R (R Core Team 2016b) and real data. We prefer to name this material as a platform given that (a) it is open for contribution, (b) it will have dynamic content and (c) it can serve as a mainboard for Plug-ins and Add-ons . This R material is created with Bookdown (Xie 2016), an advanced system constructed on R Markdown (Allaire et al. 2016) and the R … Read more →

# Sosyal Bilimler R Platformu

## by Burak AYDIN, James ALGINA, Walter LEITE, Hakan ATILGAN

Sosyal Bilimler R Platformu […] Bu platformun hakları korunmuştur CC0 by Burak AYDIN. Bu materyal İngilizce olarak hazırlanıp Türkçeye çevirilmiştir. Bu platform sosyal bilimler alanında çalışan ve nicel veri analizlerinin teoriden ziyade uygulama aşamasına ilgi gösteren araştırmacılar için oluşturulmuştur. Bütün istatistiksel prosedürler R (R Core Team 2016b) ile yürütülmüş, gerçek veri kullanımına özen gösterilmiştir. Bu materyale platform denilmesinin üç sebebi vardır, (a) katkıya açıktır,(b) dinamik bir içeriğe sahiptir, (c) bilgisayar anakartı gibi kullanılabilir, R ile oluşturulmuş … Read more →

# Numerical Analysis: Notes

## by Brynjólfur Gauti Jónsson

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] This is a collection of my notes and algorithms from a course on Numerical Analysis at the University of Iceland. The book used in the course was Numerical Analysis by Timothy … Read more →

# The Final War

## by Beckett Stephens

My book about adventures in a video game named Minecraft. […] This book is about my adventures in a video game named … Read more →

# YaRrr! The Pirate’s Guide to R

## by Nathaniel D. Phillips

An introductory book to R written by, and for, R pirates […] The purpose of this book is to help you learn R from the … Read more →

# 高中生的未來事件簿

## by tpemartin

高中生的未來事件簿 […] 大學是介於出社會以及在課堂學習的重要期間，有很多最悸動人心故事發生在這時候，奔逸而鮮豔，比起高中多了些許成熟，比起大人又看似稚嫩。雖每個人進到大學的目的不同，但總歸在追求真理的路上。未來個性將奔放如驕陽抑或凝靜如冷池；思考將高瞻遠矚抑或目光如寸；信念將真摯誠實抑或厚顏無恥，先是家庭給你的教育再來是你在大學對自己的訓練。 我們帶你從各個觀點切入核心“將自己成為比昨天更好的人”希望對你有些許的幫助，我們只是野路上的螢火，無法指引更遠的道路，但你求知求真求善的心，才是皎潔的月光，照射整片原野，螢火起能與日月爭輝？ 歡迎你來到這個網站，誠摯邀請你閱讀我們的作品。 … Read more →

# Financial Engineering Analytics: A Practice Manual Using R

## by William G. Foote

This book explores the fundamentals of financial analytics using R and various topics from finance. […] Science alone of all the subjects contains within itself the lesson of the danger of belief in the infallibility of the greatest teachers of the preceding generation. - Richard Feynman This book is designed to provide students, analysts, and practitioners (the collective “we” and “us”) with approaches to analyze various types of financial data sets, and to make meaningful decisions based on statistics obtained from the data. The book covers various areas in the financial industry, from … Read more →

# R och Demoskop

## by Filip Wastberg

Det här är ett dokument för att komma igång med R på Demoskop […] Det här är ett dokument om R på Demoskop. R är ett programmeringsspråk för statistisk analys. På Demoskop används R i huvudsak som ett komplement till den programmering som vi gör SAS och SPSS. Det här dokumentet är anpassat efter våra arbetssätt på Demoskop. Några generella förkunskaper behövs inte. Däremot så rekommenderar vi att du efter att du gjort installationen gör den här kursen på datacamp.com. Det är enkel introduktion till R och några paket som underlättar arbetsflödet. Datacamp är en bra hemsida för att lära sig … Read more →

# Github 介紹

## by 林茂廷老師

Github 介紹 […] 這裡我們用非程式設計者懂的說法來解釋，故不符合它們原始的完整定義。 Github.com: 一個【雲端空間】讓你儲存備份用 Github Desktop: 安裝在你電腦上的【備份小精靈】，透過他，你可以選擇將某個資料匣裡的東西備份在自己電腦，或進一步備份在Github.com雲端空間。 我們先假設你已經在Github.com（以下簡稱.com）註冊了一個帳號，也在你電腦安裝了Github Desktop（以下簡稱Desktop），並把Desktop設定好可以和你的.com帳號連結。 … Read more →

# Functional programming and unit testing for data munging with R

## by Bruno Rodrigues

This book is an introduction to functional programming and unit testing with the R programming language, for the purpose of data muning […] This book is still being written, some chapters are not finished yet, and there might be (there are) some typos. Don’t hesitate to write to me if you notice something weird. You can purchase a digital copy of this book at leanpub. The version on Leanpub will not always be up-to-date, I only update it when I made very big changes (new chapters, etc). But once this book will be finished, both version are going to be the same. This book serves to show how … Read more →

# R Markdown 介紹

## by 林茂廷老師

dplyr 介紹 […] 一個標準化的純文字語法（syntax），用來表達豐富的排版意境。 Wiki範例 本身不會產生word, html或pdf檔，而是透過其他應用程式，如pandoc，來進一步生成相關文件格式。 … Read more →

# IRT (GMMSGE01): Parametric IRT (dichotomous data)

## by Jorge N. Tendeiro

IRT (GMMSGE01): Parametric IRT (dichotomous data) […] Parametric item response theory (IRT) provides a theoretical framework that allows modeling the relationship [\text{item} \longleftrightarrow \text{person}] by means of a mathematical function: [P(X_i = c|\theta_n) = f(\theta_n)] (X_i) is the random variable denoting the answer to item (i), with discrete response categories; (\theta_n=) (n^\text{th}) person’s trait parameter. This is the item response function (IRF). The IRF is therefore a function relating the latent trait to the probability of answering the item correctly. … Read more →

# Economic Forum

## by Mau-Ting Lin

# Shiny (I)

## by 林茂廷老師

Shiny (I) … Read more →

# Simulation And The James-Stein Estimator In R

## by Alex Hallam

Simple Simulation and the James-Stein Estimator […] This is the website for “Simulation And The James-Stein Estimator In R”. This technical document is short, covering some common ways to generate data and exploring the James-Stein Estimator. This will teach you how to do run simulations to observe the properties of the James-Stein Estimator in R — specifically using the tidyverse: You’ll learn how to generate data to prove theoretical results. In the computer age of statistics the data scientist has the power of machines to run simulations for testing a methods before putting a method into … Read more →

# Data visualization

## by Mau-Ting Lin

This is a collection of data visualization handouts from Macroeconomics. … Read more →

# Selected Solutions to R4DS Exercises

## by Chunji Wang

This book provides selected solutions to the exercises in the wonderful book R for Data Science by Wickham Hadley. […] This is the website for “Selected Solutions to R4DS Exercises”. This is a joint advanture between Chunji Wang, Ron, Luna, Zhiyin, Chengcheng…. We started the “R4DS Study Club” on Sep 22nd, 2017; If you want to join us, please contact us! The chapter labels in this book is the same as the original R4DS book; go to the corresponding chapter for solutions. You might need to read the beginning of the chapter to load some packages or create some variables that are … Read more →

# R bookdownplus Textbook

## by Peng Zhao

A tutorial to R bookdownplus, an extension of R bookdown package. This books shows helps you write academic journal articles, guitar books, chemical equations, mails, calendars, and diaries, on the basis of R bookdown. […] A book titled R bookdownplus Textbook is surely talking about ‘bookdownplus’ (Zhao 2017b), but let’s start with ‘bookdown’ (Xie 2016). ‘bookdown’ is a software package for writing books or documents based on R language (R Core Team 2016) and Markdown syntax. It is something like Microsoft Word, but more elegant, more powerful, and … Read more →

# Guide til klinikophold

## by Søren O’Neill

Denne side tjener som vejledning og inspiration til supervisorer og studerende på den præ-graduate, kliniske uddannelse på klinisk biomekanik. […] På disse sider finder du vejledning til de præ-graduate kliniskeophold for kiropraktor-studerende (stud. kand.manu) De præ-graduate klinikophold er opdelt som illustreret herover; med et præ-klinisk kursus på SDU efterfulgt af en ‘clinic-entrance’ eksamen, et længere ophold på rygcenter og 2 mindre ophold i andre regi. Teksten er opdelt i to hovedsektioner – én som primært er skrevet med supervisorerne for øje og én for studerende. Begge … Read more →

# ABJ Syllabus

## by Associação Brasileira de Jurimetria

A track of papers we read and papers we collect to read in future. […] Para que o seu bookdown funcione tanto na web quanto no pdf, você deve evitar usar marcadores que dependem do contexto. Para fazer citações você deve usar (Weinstein 1997) ou Weinstein (1997). Isso também funciona pra pacotes (R Core Team 2017) ou R Core Team (2017). Para criar uma figura, é preferível que você use o print padrão do knitr. A label do gráfico será fig:label-do-chunk. Você pode citar fazendo 1.1. Se você precisar importar uma imagem de fora do R, é melhor que você faça , a despeito do que diz o Yihui. … Read more →