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.

# Úvod do analýzy údajov pomocou R

## by Tomáš Bacigál

Základný kurz analýzy štatistických údajov pomocou R […] 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 najväčšou silou je široká komunita vývojárov a používateľov. Oficiálne je R označované ako programovací jazyk a prostredie pre štatistické výpočty a vizualizáciu údajov (R Core Team 2020) vyvíjané pod slobodnou … Read more →

# Bijbelstudie

## by JHvdZ

Bijbelstudie door JHvdZ … 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 →

# 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 →

# Modelling correlation between access to green space and demographic and health variables in London.

## by Titilayo Ayeni, Shenzhangyin Yang, Niamh French, James Edwards

Modelling correlation between access to green space and demographic and health variables in London. […] Green space can defined as an open area of natural vegetation set apart for recreational or aesthetic purposes embedded within an urban environment (Taylor and Hochuli (2017)), which for this study is the Greater London Area. Green space is an important part of a city, and has been seen to add real value for a populations health (Hartig et al. (2014)), for example,through noted reductions in stress (Ulrich et al. (1991)) and greater feelings of satisfication (White et al. (2017)). … 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 →

# 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 →

# Applied Biostats

## by Yaniv Brandvain

Course notes for applied Biostats. […] 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 are sick and/or have had family members fall ill. Who knows if … 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 →

# DSCI 335: Inferential Reasoning in Data Analysis

## by Ben Prytherch

DSCI 335: Inferential Reasoning in Data Analysis […] This book is meant to accompany DSCI 335. It is not a complete textbook; you will need to take notes on what you hear in class and what you read throughout the semester. In it, you will find: I will be updating and expanding this book as the semester progresses. If we aren’t yet to a certain module, then that module’s content in this book is likely incomplete. “Inference” in data analysis refers to making claims using data, where the claims are applied beyond the scope of the data themselves.1 Inferential reasoning, then, refers to the … 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, 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 →

# 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. Jizhou Kang … 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. You’ll hopefully find them helpful. This is a topics course, so I have chosen a set of topics that I think reflect the current thinking, discussions, and controversies going on in asset management right now. But, first, let me tell you what we will not be discussing: firm valuation, stock selection, derivative pricing, portfolio mathematics, risk management, fixed income investing, trading, or … 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 →

# 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 for the course 2019/2020. The subject is part of the MSc in Statistics for Data Science from Carlos III University of Madrid. The course is designed to have, roughly, one lesson per each main topic in the syllabus. The schedule is tight due to time constraints, which will inevitably make the treatment of certain methods a little superficial compared with what it would be the optimal. Nevertheless, the course will hopefully give ... 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 →

# 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 →

# 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 →

# Responsible 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 →

# 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 →

# 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 →

# 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. […] Skrypt jest obecnie aktualizowany do celów trzeciego wydania, planowanego na luty 2021. Wersje PDF wydania pierwszego i drugiego można znaleźć pod adresem https://nowosad.github.io/publications/. Masz przed sobą skrypt zawierający materiały do ćwiczeń z geostatystyki. Składa się ona z kilkunastu rozdziałów pokazujących jak: wygląda … 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 →

# Introducción a R para el razonamiento cuantitativo de datos (Borrador)

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

Introducción a R para el razonamiento cuantitativo de datos (Borrador) […] Este texto es el apunte de R usado en el curso Razonamiento Cuantitativo de 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 … 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 →

# 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 →

# 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 →

# Applied Network Analysis for Learning

## 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 →

# 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 →

# 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 →

# Simulation and Modelling to Understand Change

## by Manuele Leonelli

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] 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 & Business Analytics. Knowledge of basic elements of R programming as well as probability and statistics is … 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 →

# Data Science for Psychologists

## by Hansjörg Neth

This book provides an introduction to data science that is tailored to the needs of psychologists, 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 and shaped to allow for statistical testing. By using various data types and working with many examples, we teach 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 →

# 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 →

# 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 adabted from existing courses in our department. Part I of the course is based on the old M2AA2 course (Andrew … 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 →

# 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 →

# 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 engaed 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 →

# 现代应用统计与 R 语言

## by 黄湘云

线性模型理论及其应用，特别是各个模型的适用范围、参数估计方法、模型检验和诊断，重视理论和算法实现的并重，同时附以真实的案例分析。恪守所有的模型都是线性模型的原则，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，我们还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 … 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 →

# 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 →

# 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 →

# 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 →

# 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 →

# 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 →

# GESC-258 Schedule

## by Colin Robertson

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

# Scientific 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 course SCI110 Science Research Methods1 at the University of the Sunshine Coast (USC), 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 data. This name is … 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 →

# 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 →

# Museum of Spatial Transcriptomics

## by Lambda Moses, dlu2@caltech.edu, Lior Pachter, lpachter@caltech.edu

This book is the much more detailed supplement of the paper Museum of Spatial Transcriptomics and is related to our database of spatial transcriptomics literature akin to how a museum exhibition catalog relates to the exhibits. Code in this book can be run interactively on RStudio Cloud. This book presents analyses of metadata of the database, but more analyses can be found in the more_analyses directory of this repo and can be run on RStudio Cloud. As the field of spatial transcriptomics is rapidly evolving, this book will be continuously updated to reflect the current state of the field. As … Read more →

# Measuring what Matters: Introduction to Rasch Analysis in R

## by Anthony Clairmont, Daniel Katz, Mike Wilton

This book is meant to be used as a guide for getting started using the Rasch model […] This is meant to be a general introduction to using the Rasch model for constructing measures in R. The book is meant to get you started but is by no means where you should stop. Please see, Wilson (2005) and Bond and Fox (2015) for more. To get started, move to the next chapter. For an extremely brief overview, read below. 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 … 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 →

# 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 →

# 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 →

# 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 →

# 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 →

# 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 →

# Notas de Microeconometría Aplicada

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

Notas de Microeconometría Aplicada […] Las siguientes notas fueron desarrolladas por el profesor Arturo A. Aguilar Esteva como material didáctico de apoyo para los cursos de Microeconometría Aplicada que imparte a nivel licenciatura y maestría en el Instituto Tecnológico Autónomo de México. Las notas están actualmente en proceso de mejora y actualización. Todos los errores son responsabilidad del Prof. Aguilar Esteva. Cualquier comentario y observación con respecto a errores se agradecerá que lo dirijan al correo arturo.aguilar@itam.mx. … Read more →

# A Guide on Data Analysis

## by Mike Nguyen

This is a guide on how to conduct a data analysis routine […] 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 as a statistician/ data analyst/ econometrician (or any fancy name we have now), 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, … 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 →

# 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 →

# 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 →

# 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 →

# 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 →

# 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 →

# 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 →

# 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 … 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 →

# 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 the course Introduction to R which accompanies the Medical Biometry lecture as part of Molecular Medicine Master program. 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 the code: We strongly … 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 →

# 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 →

# 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 summer of 2012, I did my internship at AT&T Labs Research,1 where I attended a talk given by Carlos Scheidegger (https://cscheid.net), and Carlos said … 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 →

# Malaria inequality

## by Gabriel Carrasco-Escobar

Code for malaria inequality analysis … 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 →

# 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 →

# 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 →

# 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. […] This is a … 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。 […] 本书初稿写作于我处于学生与独立科研人员或转行的过渡期，也就是博士后阶段。在这一阶段身处海外的我意识到了现代科研的一些趋势与这个年龄段科研人员的种种迷茫，为了铭记，也为了启迪，我将这一阶段对于现代科研的一些思考整合为一本在线电子书。这本书是开源的，在初稿完成后开放协作，我也鼓励科研人员能记录自己的成长经历，如果实在不知从哪下手，可以参考这本书来整理。是否认可本书观点并不重要，但没有自己的科研思考过程对于科研人员是一种悲哀。 本书的出发点是 Jeef Leek 《How to be a modern … 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 →

# Chapter 4 Applications | Calculus and Analysis

## by Jeremy Levesley

Chapter 4 Applications | Calculus and Analysis. […] Some significant applications are demonstrated in this … 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 →

# 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 →

# 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 →

# 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 course 2020/2021. The subject is part of the MSc in Big Data Analytics from Carlos III University of Madrid. The course is designed to have, roughly, one lesson per each main topic in the syllabus. The schedule is tight due to time constraints, which will inevitably make the treatment of certain methods a little superficial. Nevertheless, the course will hopefully give you a respectable panoramic view of different available statistical ... 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 →

# Behavior Analysis with Machine Learning and R

## by Enrique Garcia Ceja

Behavior Analysis with Machine Learning and 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 →

# 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 →

# 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 →

# Mobile Network Operator Data for Spatial Statistics - Eurostat Coding Labs 2020

## by Giulia Regazzoni, Marco Ramljak, Stefania Scrofani, Tony Hung

A showcase of our remote collaborative efforts from working on the MNO project […] Joining far and wide in the heart of Europe, four master’s students Skyped through the Eurostat Summer Coding Labs of the year 2020. Representing three universities from the Netherlands (UU), Italy (UniBg), and the Czech Republic (VŠE), while working collaboratively and have only seen each other through their laptop screens. The authors would like to present to you our book, a detailed collection of our work from the coding lab. This book could be used in several ways. For a detailed overview of our project, … 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 →

# 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 →

# 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 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 →

# 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 →

# rOpenSci Statistical Software Peer Review

## by Mark Padgham and Noam Ross

rOpenSci Statistical Software Peer Review […] Welcome to rOpenSci’s project developing software peer review system for statistical software in R packages and beyond. We invite you to join us in developing standards for processes of assessment and peer review of statistical software. rOpenSci currently runs software peer review for R packages focused on data life cycle management. To apply these processes to software implementing statistical methods and algorithms, we need new ways of evaluating and testing software, and managing the review process. This book serves as a home for collecting … 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 →

# 现代统计图形

## by 谢益辉, 黄湘云, 赵鹏

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 4.0.3 (2020-10-10)，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 →

# Meta-analysis of Ecological Data in R

## by Rob Crystal-Ornelas, PhD

This is 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 … Read more →

# Pengantar Pemrograman R dan RStudio

## by Aep Hidayatuloh

Buku pengenalan pemrograman R versi Bahasa Indonesia. 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. Di dalam buku ini akan dibahas dasar-dasar R sebagai tools untuk analisis data. Buku ini juga akan membahas cara berinteraksi dengan R melalui RStudio mulai dari download dan install R & RStudio hingga eksplorasi data. 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 →

# 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 →

# 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 Modeling and Poststratification (MRP) and some of its extensions, 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. The last chapter develops a new approach … 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 →

# 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 →

# 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 →

# 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 →

# 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 →

# 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 →

# 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 →

# 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 | MedicalStatisNotes.utf8

## 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 →

# Crime by the Numbers

## 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 →

# 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 →

# 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 →

# Scientific Research Methods: 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 to support the course SCI110 Science Research Methods1 at the University of the Sunshine Coast (USC), and the textbook Scientific Research Method specifically. 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, however, is on the … 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 →

# Stat 202 Notes: Fall 2020

## 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 →

# 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. They are based on a series of short articles (called The data files) published in the Australian Mathematics Education … 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 →

# 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. […] .dt-crosstalk-fade { opacity: 0.2; } html body div.DTS div.dataTables_scrollBody { background: none; } table.dataTable { display: table; } table.dataTable{width:100%;margin:0 auto;clear:both;border-collapse:separate;border-spacing:0}table.dataTable thead th,table.dataTable tfoot th{font-weight:bold}table.dataTable thead th,table.dataTable thead td{padding:10px 18px;border-bottom:1px solid #111}table.dataTable thead th:active,table.dataTable … Read more →

# Fantastic Genes and Where to Find Them

## by Maria Gallegos

Fantastic Genes and Where to Find Them […] First, I want to acknowledge the Genome Education Partnership (GEP) for inspiration. They created a resource for learning about Eukaryotic gene structure using the UCSC Genome Browser. Their focus is on the Drosophila genome. My focus is on the human genome. My hope is that the skills learned within these pages and the saved sessions I have created (and will continue to curate) can be used as a springboard for continued exploration of the human genome. © 2019, Maria Gallegos. All rights reserved. Throughout the semester, you will use a web-based … 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 →

# 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 →

# LBIRA2110 Modelisation et exploration des donnees multivariees | LBIRA2110 Modelisation et exploration des donnees multivariees

## by evraloui

LBIRA2110 Modelisation et exploration des donnees multivariees | LBIRA2110 Modelisation et exploration des donnees multivariees […] Durant votre cursus du cours LBIRA2110, nous vous offrons la chance de vous former au logiciel et langage de programmation R. R c’est la référence dans le domaine des analyses statistiques. 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 … 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 →

# 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 →

# 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 →

# 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 →

# 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 →

# 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 (2020b) 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, 2020a), which makes it easy to fit Bayesian regression models in R (R … 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 →

# Stat 344 Notes: Fall 2020

## by Laurie Tupper

Lecture and reading notes for Stat 344 […] 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 →

# 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 | VisaoGeral.utf8

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 →

# 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 →

# 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. This book will not get you started with {shiny}, nor talk how to work with {shiny} once it is sent to production. What we will be discussing in this book is the process of building an application that … Read more →

# Chapter 3 Create and load data sets | Introduction to R

## by Daniel Becker

Tes […] In practice R is used to analyse data. There exist two type of data. In the one hand, we have “real” data where “real” means that the data was observed. On the other hand, we have data is is created by the user. We need such data for example to analyse the small sample behavior of estimators. We start by considering data that is created by the user. We can create data sets by using functions like rnorm(), rexp or runif. After the data is created we can work with it as shown in the following: Functions as the three stated exist for a lot of distribution in R. You can find the needed … 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 →

# 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 →

# Physical Processes in Ecosystems | 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 →

# Chapter 2 Data Visualization | Data Visualization, Exploration and Regression Analysis

## by Kamarul Imran, Wan Nor Arifin

Chapter 2 Data Visualization | Data Visualization, Exploration and Regression Analysis […] Data visualization is viewed by many disciplines as a modern equivalent of visual communication. It involves the creation and study of the visual representation of data. Data visualization requires “information that has been abstracted in some schematic form, including attributes or variables for the units of information.” You can read more about data visualization here https://en.m.wikipedia.org/wiki/Data_visualization and here https://en.m.wikipedia.org/wiki/Michael_Friendly In his 1983 book which … Read more →

# HUDK4050: Core Methods in Educational Data Mining

## by This document constitutes both the syllabus and LMS for HUDK4050

Description […] Instructor: Charles Lang (charles.lang@tc.columbia.edu)Course Assistants: Hsiao Yang (hty2104@tc.columbia.edu) Zhongyuan Zhang (zz2641@tc.columbia.edu) Office Hours:Please sign up for office hours here. Updates Updates are communicated via TC email address and WeChat group Credits: 3 Prerequisites: None Time/Dates: Synchronous session times will be determined based on enrolled student timezones, for exact times/dates please subscribe to the HUDK4050 Google Calendar (You will need to be logged in to your TC Google account). There are some issues when accessing this link, if … 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 →

# 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 →

# 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 →

# 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 →

# 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 →

# 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 →

# 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 →

# 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 →

# Data Science In RStudio

## 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 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 syntax highlighted properly? Maybe here Make a logo Get Camera to take nice pictures Create … 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 →

# 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 →

# 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 →

# 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 →

# 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 →

# 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 →

# 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” | index.split

## 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 →

# 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 →

# Text Mining with R

## by Julia Silge and David Robinson

A guide to text analysis within the tidy data framework, using the tidytext package and other tidy tools […] 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 →

# 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 →

# Lean Seis Sigma

## by A.M.Mayoral

Ejemplos prácticos para la asignatura Mejora de Procesos (1479) del Grado en Estadística Empresarial de la Universidad Miguel Hernández […] Esta web contiene ejemplos y ejercicios 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, España-Spain (UMH). La recopilación y creación de contenidos y actividades han sido desarrolladas por los profesores matemáticos-estadísticos del Depto. Estadística, Matemáticas e … 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 →

# Capítulo 2 Estimación | Fundamentos de Investigación II

## by Luis Eudave

Apuntes de la asignatura de Fundamentos de Investigación II […] Al comienzo del capítulo inicial, vimos la distinción que existe entre la estadística descriptiva y la estadística inferencial. El papel de la estadística descriptiva es resumir de manera concisa lo que ya sabemos. Por otro lado, el propósito de la estadística inferencial es “aprender lo que no sabemos a partir de lo que hacemos”. Ahora que tenemos cierto conocimiento sobre la teoría de la probabilidad, podemos pensar en el problema de la inferencia estadística. ¿Qué tipo de información nos gustaría conocer o aprender? ¿Y cómo … 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 →

# 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 →

# 6 Base R Practice Problems | R @ Ewha 2020

## by Sunbok Lee

This is lecture notes for the R course at Ewha Womans University in 2020 […] These 10 problems are just practice problems to enhance your understanding on Base R. You don’t need to submit anything on these 10 problems. Just understand and run codes by … 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 →

# Taller de Análisis de la Estructura Social en la Argentina Contemporánea

## by Nicolás Sacco, José Rodríguez de la Fuente, Sofia Jaime

Material del curso ‘Taller de Análisis de la Estructura Social en la Argentina Contemporánea’ […] Esta orientación está diseñada para presentar los materiales y procedimientos del curso. Les preparará para tener éxito durante las próximas semanas. Podrá leer el programa de estudios, el calendario y algunos otros elementos, fundamentales para la cursada. El Programa de estudio y el Calendario son las dos guías más importantes que utilizará a lo largo del curso. El Programa de estudio describe las expectativas y políticas, y el calendario enumera clases/unidades, tareas y fechas de entrega. … Read more →

# Homework 1

## by Hayun Bae

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 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 →

# 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 →

# 10 Apex Fusion | Silbiger Lab Mesocosm User Manual

## by Dr. Nyssa Silbiger and Danielle Barnas

This is a guide for understanding the design, purpose, and use of the experimental tank system, conceptualized and funded by the Silbiger Lab and located in the Loading Bay of Citrus Hall at California State University, Northridge. […] To access the Silbiger Lab Fusion account, go to ApexFusion.com, click “Get Control” and enter the login information: [Please request Login Information upon use of the Silbiger Lab Mesocosm System] Contents Dashboard Display Module Setup Outlet Setup Downloading Data Logs Update System For some quick tutorials on advanced programming in Fusion, … 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 →

# Data Integration, Manipulation and Visualization of Phylogenetic Trees

## by Guangchuang Yu, PhD

Data Integration, Manipulation and Visualization of Phylogenetic Trees […] You can’t even begin to understand biology, you can’t understand life, unless you understand what it’s all there for, how it arose - and that means evolution. — Richard Dawkins The book is meant as a guide for data integration, manipulation and visualization of phylogenetic trees using a suite of R packages, tidytree, treeio and ggtree. Hence, if you are starting to read this book, we assume you have a working knowledge of how to use R and ggplot2. If you use the software suite in published research, please cite the … 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 →

# Chapter 4 Arbirtrage Free Derivative Pricing | Mathematics of Financial Derivatives

## by Simon Hubbert

Chapter 4 Arbirtrage Free Derivative Pricing | Mathematics of Financial Derivatives. […] Let us recall the model that we have proposed for the evolution of our asset. We wrote that over a time interval ([t,t+\delta t]) the asset price moves according to: or, equivalently, we have The numerator of the right hand side is just the corresponding change in the asset price over the time interval (\delta t,) we can denote this as (\delta S) and write We note that our incremental model (4.1) explicitly features an increment of Brownian motion and we write it as In the differential limit as … 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 →

# Paper_Analytics(1)

## by 김광태

이 contents는 bookdown 기반으로 작성되었습니다. […] 해당 컨텐츠는 본인의 석사 논문 신입사원의 조직 동일시, 직무소명의식, 직무만족, 직무성과의 구조적 관계 의 가설검정을 R을 활용하여 재현하는데 목적이 있습니다. AMOS와 SPSS를 통해 분석했던 내용을 R을 통해 분석했으며, 양적연구방법론 연습을 위해 진행한 것으로 부족한 부분이 있을 수 있습니다. 매개효과 분석 시 활용하는 방법에는 여러가지가 있지만, 저는 아래 세 가지 방법으로 통계적 가설검증을 진행하고자 합니다. 석사 논문에서 제시한 연구모형은 아래 그림과 … 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 →

# index.split

## 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 →

# 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 →

# Chapter 4 Applications | 교육용 프로그램의 이해(1) : HW1

## by 202AIE15 설시내

R progamming: hw1 […] Some significant applications are demonstrated in this … 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 →

# 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 […] I spent the last year or so working 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 … Read more →

# R @ Ewha 2020

## by Sunbok Lee

This is lecture notes for the R course at Ewha Womans University in 2020 […] Hi everyone, welcome to the course :) This is the introduction to R course at Ewha Womans University in 2020. R is a great programming language for statistical analysis and data science. I hope you enjoy R in this course and find many useful applications for your own field. This course is designed for those who don’t have any programming background, especially in social science major. Today, I will just introduce R, RStudio, and some basic terminologies In this lecture note, this font represents R keyword/packages … 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 →

# 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, 2020a), … 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 →

# RSCD - JR

## by Gabriel Carrasco

Code Repository - Reactive Serological Case Detection (RSCD) … 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 →

# Lab Notebook

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

Lab Notebook […] This notebook contains a general record of my experimental work. If additional information or further clarification is needed, email me at naomi.hunsaker@utah.edu. … 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 →

# 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 →

# 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． 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，そちらも参照してください． … 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 →

# 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 →

# Data Preparation: Essential Steps Before & After Analysis

## by Martin Monkman

Before you can analyze your data, you need to ensure that it is clean and tidy. […] 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—text books, journal articles, blog posts, online courses, podcasts, etc.— about the 20%. This modest book hopes to serve as an introduction and wayfinder for readers seeking to understand core elements of the other 80%. It is assumed that the … 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 →

# 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 →

# 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 →

# 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 →

# 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 →

# R Companion to Real Econometrics

## by Tony Carilli

R, RStudio IDE, and the tidyverse companion to Bailey’s Real Econometrics […] The intended audience for this book is anyone making using of Real Econometrics: The Right Tools to Answer Important Questions 2nd ed. by Michael Bailey who would like to learn to use R, RStudio, and the tidyverse to complete empirical examples from the text. RStudio is an integrated development environment that includes a console, syntax-highlighting editor, and tools to integrate report writing with empirical work, etc. RStudio IDE Features for more. The tidyverse (a collection of packages that shares an … 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 →

# Causal Inference

## by Gabriel Carrasco

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

# 10 Apex Fusion | Mesocosm User Manual

## by Dr. Nyssa Silbiger and Danielle Barnas

This is a guide for understanding the design, purpose, and use of the experimental tank system, conceptualized and funded by the Silbiger Lab and located in the Loading Bay of Citrus Hall at California State University, Northridge. […] To access the Silbiger Lab Fusion account, go to ApexFusion.com, click “Get Control” and enter the login information: Username: SilbigerLab Password: silbigerlab Contents Dashboard Display Module Setup Outlet Setup Downloading Data Logs Update System Dashboard Display Module Setup Outlet Setup Downloading Data Logs When connected to the same network … 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 →

# Introdução ao R para alunos de ciências exatas

## by Gabriela Costa, Laura Kubtischek, Maria Luisa Gomes, Matheus Gonzaga, Vitor Batista

Apostila de introdução ao software RStudio e à linguagem de programação R. […] A linguagem R foi lançada em 2000, criada por professores do Departamento de Estatística da Universidade de Auckland, com a intenção de disponibilizar uma linguagem open-source para computação estatística. Anos depois, surgiu o RStudio, um software e ambiente de programação mais intuitivo e amigável para o R. Com o tempo, a linguagem se popularizou e profissionais de diversas áreas passaram a utilizá-la para analisar dados, por sua ampla gama de possibilidades. Esta apostila contém uma introdução à linguagem de … 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 →

# NL and Malaria in Venezuela

## by Gabriel Carrasco-Escobar

Nighttime Lights and Malaria in Venezuela … 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 →

# Abstract | A first investigation into the evolutionary relationships, population structure and demographic history of New Zealand Trevally (Pseudocaranx georgianus) and its implications for fisheries management

## by Leah Kemp, Primary Supervisor: Peter Ritchie, Victoria University of Wellington, Secondary Supervisor: Maren Wellenreuther, Plant and Food Research

Abstract | A first investigation into the evolutionary relationships, population structure and demographic history of New Zealand Trevally (Pseudocaranx georgianus) and its implications for fisheries management […] Pseudocaranx georgianus is a commercially important fishery in New Zealand. Currently, the management of this fishery assumes that Quota Management Areas comprise single biological stocks of a single species. However, little is known regarding the population structure of New Zealand P. georgianus and morphological data suggests that a cryptic Pseudocaranx species is included … 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 →

# Son Nguyen’s Tenure Application Package

## by Son Nguyen

This package contains my supporting documents to apply for my tenure […] 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 Jumping Rivers consultancy and has been teaching R since 2005 at all levels, from beginning to … 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 →

# 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 … 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 →

# 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. […] 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 ASA18 for a discounted price. This work by Chester Ismay and Albert Y. Kim is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International … 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 →

# MA1014: Calculus and Analysis

## by Jeremy Levesley

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 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 →

# 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 →

# Understanding Thermodynamics: Course Notes

## by Willem van Niekerk

Understanding Thermodynamics: Course Notes […] Thermodynamics is the study of energy and energy conversion. For example, in a coal fired power station, during the combustion of coal, the energy in the coal is released as heat that is used to convert high pressure liquid water into high pressure steam. In a turbine the energy in the steam is converted into mechanical energy which turns the shaft of the turbine in order to generate electric energy in the generator. Often this electric energy is again converted into heat in the stove plate of an electric stove or the heating element of a … 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 →

# R语言基础及光谱建模应用

## by 李彦杰

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。 […] 要开始使用R软件，首先需要下载R软件，R软件完全免费，你可以很容易的下载R,根据你的电脑系统选择相应的版本。下载安装好R软件以后，打开R软件，你会发现R界面比较原始，不知如何开始。这时候还有一个重要的软件会让你一目了然，那就是R studio，这是一个增强R软件用户交互界面的软件，非常人性化并且也是免费的。进入链接后，选择下载R studio desktop 免费版即可。 当你安装好R studio，以后你就不用打开R软件了，每次直接打开R studio就可以进行操作，因为R studio 是基于R软件而进行运算的，所以每次打开R studio，系统会默认打开了R软件,好了，在接下来 … 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 →

# Draft: Aplikasi Analisis Data untuk Bisnis

## by Aep Hidayatuloh

Menggunakan analisis data sebagai penunjang utama pengambilan keputusan dan pengembangan bisnis […] Assalamu’alaikum warohmatullohi wabarokatuh… Alhamdulillahi robbil’aalamiin… Segala puji dan syukur hanya untuk Alloh Subhanahu Wa Ta’ala karena atas rahmat dan ridho-Nya buku ini dapat diselesaikan masih dalam penyusunan. 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 disusun dengan menggunakan R versi … Read more →

# Time Series Analysis

## by Rushad Faridi, PhD

Time Series Analysis … 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 →

# 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 →

# How to talk about data

## by Terrill Paterson

Everything you need (and nothing more) to start a bookdown book. […] 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 course are: a really good sense of humor, the ability to forgive me if I swear, a positive … 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 →

# 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, 25-27 of May 2020). 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 or … 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 →

# 滴滴实验白皮书v0

## by 滴滴统计科学部

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] 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). 这是陈天威的一个test: 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 →

# 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 →

# 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 →

# Aprender R: iniciación y perfeccionamiento

## 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): 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 bookdown (https://bookdown.org/). El código … 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. […] $$ \newcommand{\uns}[1]{\mathbf{1}[#1]} \newcommand{\esp}[1]{\mathbf{E}[#1]} \newcommand{\Ind}{\perp\kern-5pt\perp} \newcommand{\var}[1]{\mathbf{V}[ #1 ]} \newcommand{\cov}[1]{\mathbf{C}[ #1 ]} \newcommand{\plim}[1]{\text{plim}_{ #1 \rightarrow \infty}} \newcommand{\plims}{\text{plim}} \newcommand{\partder}[2]{\frac{\partial #1}{\partial #2}} \newcommand{\partdersq}[2]{\frac{\partial^2 #1}{\partial #2^2}} \DeclareMathOperator{\diag}{diag} $$ div.sourceCode { overflow-x: auto; } table.sourceCode, tr.sourceCode, td.lineNumbers, td.sourceCode { … 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 →

# A születési mutatók alakulása és az azt kísérő változások Magyarországon

## by Granát Marcell

A születési mutatók alakulása és az azt kísérő változások Magyarországon […] Tanulmány konzulense: Dr. Keresztély Tibor Kézirat lezárásának dátuma: 2020. április 20. A tanulmány a 2020-as Budapesti Corvinus Egyetemen megrendezésre kerülő Tudományos Diákköri Konferenciájának Makroökonómia és Gazdaságpolitika szekciójába készült. A születendő gyermekek száma olyan téma, amely számos politikai vita központjába kerül napjainkban. A vitát indokolja, hogy egyik oldalon a Föld eltartó képességére hivatkozva, vannak, akik azt tartják helyesnek, ha a népesség csökkentését sürgetjük, azonban számos … Read more →

# 2 Exploratory Data Analysis | The impact of criminality on Airbnb prices, the case of Los Angeles

## by Vincent Nicod & Raffaello Raffin

2 Exploratory Data Analysis | The impact of criminality on Airbnb prices, the case of Los Angeles […] First of all, it is essential to note that the types of property listed on Airbnb in Los Angeles are very varied. Indeed, there are 41 in total. It goes from the simple apartment to the Castle. Even more surprising, you can find an island for rent. Among all this variety, two categories, “Apartment” and “House” stand out from the crowd and alone represent around 70% of the listing. Regarding the median price, it is relatively stable for the major property types, which is obviously not the … 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 →

# 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 →

# 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 →

# POLI 330 International Organization

## by Shaoshuang Wen

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 →

# ॥ दिल की गिरह खोल दो ॥

## by ॥ विक्रम सिँह रावत ॥

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

# 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 →

# 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 →

# 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 →

# 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 →

# Doing Meta-Analysis in R

## by Mathias Harrer, M.Sc.¹, Prof. Dr. Pim Cuijpers², Prof. Dr. Toshi A. Furukawa³, Assoc. Prof. Dr. David D. Ebert²

This is a guide on how to conduct Meta-Analyses in R. […] This guide shows you how to conduct meta-analyses in R from scratch. The focus of this guide is primarily on clinical outcome research in psychology. It was designed for staff and collaborators of the Protect Lab, which is headed by Prof. Dr. David D. Ebert. Although this guide will provide some information on the statistics behind meta-analysis, it will not give you an in-depth introduction into how meta-analyses are calculated statistically. It is also beyond the scope of this guide to advise in detail which meta-analytical … 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 →

# bookdown-demo.utf8

An interactive introduction to Statistics […] An interactive introduction. … 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 →

# 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 →

# 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 →

# 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 →

# 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 →

# Capítulo 2 Agradecimientos | Notas sobre pronóstico del flujo de tráfico en la ciudad de Madrid

## by Andrés Mañas Mañas

Investigación con el objetivo de pronosticar los flujos de tráfico en la ciudad de Madrid. El resultado de esta investigación será utilizado como Trabajo Fin de Máster para “Máster Universitario en Inteligencia Artificial Avanzada: Fundamentos, Métodos y Aplicaciones” que curso en la UNED. […] Es difícil resumir en unas líneas la cantidad de esfuerzo, tiempo y dedicación que hay detrás de las páginas que componen este trabajo. No ha sido fácil y hemos tenido que superar algunos baches y dificultades que llegaron a parecer casi insalvables. Nada habría sido posible sin la comprensión y … 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 →

# Skript zum MAS Modul Servotechnik

## by Martin Pischtschan

Skript Servotechnik […] Der Autor dieses Materials räumt allen nationalen Bildungseinrichtungen (wie z.B.: Schulen, Industrie u. Handelskammer, Fachhochschulen, Universitäten, etc.) ein unentgeltliches Nutzungsrecht ein. Dieses Nutzungsrecht ist auf den Unterrichtsgebrauch bzw. Vorlesungsgebrauch im Rahmen von Aus-, Fort- und Weiterbildung beschränkt. Der Nutzer ist verpflichtet, den Urheber anzugeben. Der Nutzer ist berechtigt das Material zu verändern, sofern er für dieses auch wieder allen nationalen Bildungseinrichtungen ein unentgeltliches Nutzungsrecht einräumt. Eine Veräußerung durch … 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 →

# 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 RIPL_Effect Research Team (RIPLRT). The output format for this example is bookdown::gitbook. […] Welcome to the Respiratory and Immunology Project and Laboratory (RIPLRT) at Larkin University College of Biomedical Sciences. 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 experiences, such as in immunology, respiratory, … 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 →

# 3 Chicken Chicken Chicken | Chicken Chicken Chicken: Chicken Chicken

## by Giles Knight

Chicken. […] Chicken chicken chicken “chicken chicken, chicken”. Chicken chicken? Chicken chicken chicken 75 chicken chicken -25% chicken chicken chicken 50 chicken. Chicken chicken chicken $1000 chicken! Chicken chicken chicken chicken 100 chicken chicken 25 chicken (Fig. … 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 →

# IEP Seasonal Monitoring Report: Spring 2018 | 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 →

# CASA Lab Coding for Speech Group

## by Director: Thea Knowles, PhD

This is the record keeping site for the CASA Lab Coding for Speech group. […] The purpose of this group is for members and friends of the CASA Lab to learn basic coding skills that are helpful for speech analysis. The languages/environments we will learn will usually be R and Praat, though we may extend to include other languages over time. Many of the skills we will work on will be directly applicable to projects in the CASA Lab, but the hope is that you will gain skills that you will find personally valuable as well for your own work. We will meet approximately twice a month. Meeting … 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 →

# A Appendix A - SQL code | Cervical Screening - telephone-based recall (2019)

## by Dr. Buddini Ekanayake & Dr. David Fong

A Appendix A - SQL code | Cervical Screening - telephone-based recall (2019) […] Find eligible patients (female, age criteria), who are active patients (defined by three or more contacts in the past two years, including one billed visit in the past six months), who have not had cervical screening detected found in the PapSmear table or the Investigations table. Note that there is another table ‘ObGyn’ which should contain the most recent cervical screening result, but unfortunately, ‘over-chose’ 5 patients (found 295 patients, instead of ‘290’ as found using this search.) Code finds … 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 →

# 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 →

# 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 →

# 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 →

# Introduction to Computational Social Science

## by Mark Hoffman and Tyler McDaniel

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 →

# Anemia en madres

## by Bryan Fernandez Camacho

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 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 →

# Basic R Commands

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

Basic R Commands […] 21-02-2020 The text is under development and updates are … Read more →

# The Hitchhiker’s Guide to the tlverse

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

An open-source and fully-reproducible electronic handbook for applying the targeted learning methodology in practice using the tlverse software ecosystem. […] The Hitchhiker’s Guide to the tlverse, or a Targeted Learning Practitioner’s Handbook is an open-source and fully-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 … 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 →

# The dymiumCore package

## by Amarin Siripanich

This is a documentation of the dymiumCore package. […] 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 →

# 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 →

# Modélisation de la transmission du paludisme à échelle micro-géographique

## by Paul Taconet

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 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 →

# 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 →

# 經濟模型程式設計

## by 國立臺北大學 經濟學系 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. […] 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 →

# 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 →

# 1 Çubuk Grafiği (Bar Graph) | _main.utf8

## by Uğur Dar

461# 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 →

# QCA with \(\textsf{R}\) | 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 →

# 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 →

# 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 →

# 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 →

# Some Notes About Math

## by 熊逸飞

# 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 →

# 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 →

# 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 →

# Researching and writing for Economics students

## by Dr. David Reinstein, University of Exeter, main web page, innovationsinfundraising.org, Twitter: givingtools

An interactive guide to doing Economics research, mainly aimed at undergraduates; a work in progress […] Note to friends I’ve asked to look at this book… Thanks for looking at this. You can leave feedback however you like, including via ‘hypothes.is’ as suggested just below. Let me know if you want acccess to the github account. This is a work in progress; I’ve moved most, but far from all of the content over from my previous notes on this, which date from 2014. This was mainly targeted at the Essex Undergraduate Economics students; roughly 400 a year were required to write dissertations. … 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 →

# Data Science für Klein- und Mittelbetriebe

## by Jürgen Gruber

Big Data, Data Science und Analytics sind die Buzz-Wörter der heutigen Zeit. Doch was verbirgt sich dahinter? Ist es nur für Großunternehmen möglich, die neuen Technologien einzusetzen? Mit dem vorliegenden Buch wird versucht eine Einführrung in das Thema zu geben. Dies vor allem aus Sicht der Praxis. Speziell aus dem Blickwinkel der Betriebswirtschaft werden Use-Cases versucht einfach und nachvollziehbar darzustellen. Viel Spass auf der Entdeckungsreise. 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 →

# 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 →

# 数据科学工作流

## by 黄湘云

在 tidyverse 的生态下，整理一些数据分析和建模的 10 个案例，一个案例一个章节，数据需要比较有代表性，一定要侧重统计思维在数据分析和建模过程中引导作用，要谈数据收集、存储、探索性分析、建模和解释的过程。比如爬取数据存储到数据库，EDA 和建模及分析报告呈现。更加注重可解释性，更加注重统计学习和机器学习之间联系，特别是传统数理统计与数据挖掘技术的关系 […] … 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 | ntpu-datavisualization.utf8.md

## 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 →

# LDC Walk Through

## by E. Hinman

A step by step guide to calculating loading and building load duration curves […] The loading calculation function is called tmdlCalcs(). It requires a workbook with specific tabs and headers, as well as a command outlining whether the output should be exported from the function. We’ll define the parameters (and load the packages) in this bookdown so you can see the steps in real time. The first step is to define the output object (a list of dataframes), and some of the equations needed. The next step is to read in the workbook and define the parameters contained in the input tab. Then, we … 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 →

# 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 →

# 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 →

# 3 Dashboard for students | LASI 2019 - Visualization meets Learning Analytics

## by karepin13

3 Dashboard for students | LASI 2019 - Visualization meets Learning Analytics […] Let’s construct a prototype of dashboard for one of our students. Discussion: How to show student’s perfomance? Should we show students their predicted chances for success? On the graph below we show the score for each assesment aside with the average score of other students. We can highlight some of the student’s results which have notable differences with the average score. Whether it will be usefull or motivating for the student? Maybe we should show that graph to the teacher or assistant (in cases … Read more →

# Analyzing single-case data with R and scan

## by Jürgen Wilbert

This is a book on analyzing single-case data but also on how to do this using the R package scan […] … 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

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 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 | ntpu-data-visualization.utf8.md

## 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 →

# 課程大綱 | ntpu-programming-for-data-science.utf8.md

## by tpemartin

資料科學程式設計（一） […] 電子書網址：https://bookdown.org/tpemartin/ntpu-programming-for-data-science/電子書加個人註記：https://via.hypothes.is/https://bookdown.org/tpemartin/ntpu-programming-for-data-science/ gitter chatroom: https://gitter.im/ntpuecon/course-program-for-data-science107-2 This course is to build the foundation for being a data scientist–who masters both data analysis and data engineering. There are two programming languages that will be taught through the course: R and Javascript. R will serve as the data analysis backend, while … 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 →

# Monte Carlo Simulation Examples

## by Mark Lai

Handout for the workshop ‘Advancing Quantitative Science with Monte Carlo Simulations’. […] We know that, based on the CLT, under very general regularity conditions, when sample size is large, the sampling distribution of the sample mean will follow a normal distribution, with mean equals to the population mean, (\mu), and standard deviation (which is called the standard error in this case) equals the population SD divided by the square root of the fixed sample size. Let (\bar X) be the sample mean, then [\bar X \sim \mathcal{N}\left(\mu, \frac{\sigma^2}{N}\right)] Let’s imagine a … 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 | dissertating_rmd_presentation.utf8.md

## 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 →

# 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，簡単な説明を加えています。本書の内容の大部分は，jamoviと同じ分析をRで実行するためのパッケージ「jmv」のリファレンスをもとにしています。 本書は統計法の教科書としてではなく，（英語の苦手な学生たちが）jamoviを使って分析をする際のヘルプとして作成されています。統計そのものについてはすでに一定の知識がある，あるいは統計の授業や教科書で … 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 →

# Steem Handbook

## by Steem 中文社区集体创作

Steem Handbook […] 本书的编写和维护需要长久的贡献，大门永远敞开，欢迎加入我们。你可以： 贡献本书缺失的内容； 修改已有内容； 修改错别字； 其他任何跟书稿编写有关的工作。 向本书项目投稿的方法见附录16。 主编：@dapeng 副主编： @maiyude 顾问（按字母顺序）：@deanliu @jademont @lemooljiang @oflyhigh @rivalhw @sweetsssj @tumutanzi 编剧： @maiyude 封面设计： @maiyude 本书的各章作者、编辑、校对见各章节脚注。待书稿完成后，名单将汇总在这里。 … 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 →

# From my lovers and others. (Letters from 2013-2014)

## by Carlos Alcalá

This is a compendium of the letters written, sent and received during October 2013 until September 2014. […] Memory, knowledge, lives, even identities, all is distributed. We are socially fragmented. It could be used as an argument for a non-local consciousness theory. Therefore, with this text, I am just trying to compile pieces of what I have been in order to know a bit better what I am know. I have been told in the past that there is wisdom in the text that I wrote, and I am certainly sure that there is wisdom in the texts that I received. I hope you find something that makes your life … 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 →

# Chapitre 4 Importer des données dans R | Data Science avec R

## by Fousseynou Bah

Chapitre 4 Importer des données dans R | Data Science avec R […] Dans le flux de travail (workflow) du data scientist, l’importation constitue très généralement le point de départ. Les données ne sont toujours disponibles sous le format qui se prête à l’analyse souhaitée. Elles peuvent exister dans un classeur Excel sous format xls, xlsx ou csv. Elles peuvent aussi se trouver dans une base de données relationnelles, où diverses tables sont connectées entres elles. Elles peuvent même être disponibles sur Internet (page Wikipédia, Twitter, Facebook, etc.) Dans tous les cas, il revient au data … 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 →

# 7 Agrupación de la información | Estadística y Machine Learning con R

## by Francisco Parra

7 Agrupación de la información | Estadística y Machine Learning con R […] Tanto las técnicas de reducción de dimensiones como las de agrupamiento, están basadas en determinar la semejanza (proximidad, similaridad) o disparidad (distancia, disimilaridad) existente; entre las variables las primeras, entre los individuos/variables las segundas. Lo primero a decidir será, pues, si optamos por centrar el análisis en medir disparidad o semejanza, lo cual dependerá en buena parte de los objetivos planteados en la investigación. Otra cuestión a considerar a la hora de optar por una medida u otra es … 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 →

# Comparing Social Dynamics of a Rental and Purchased Block

## by Jolene Quek

Comparing Social Dynamics of a Rental and Purchased Block […] … 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 →

# Big data and Social Science

## 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 Big Data and Social Science. This seminar is taught by Paul C. Bauer at the University of Bern (Fall Semester 2018). The material was developed by Paul C. Bauer and heavily draws on material developed by Pablo Barberà in courses such as Social Media & Big Data Research, Big Data Analysis in the Social Sciences and Automated Collection of Web and Social Data. Any original material and examples is licensed under a Creative Commons … 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 →

# 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

Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA […] This book grew out of a tutorial written by Elias T. Krainski, which he started in 2013 together with his PhD-studies at NTNU, Trondheim, Norway. The tutorial has since then been expanded continuously, based on response from the many users and based on new developments. Lindgren, Rue, and Lindström (2011) describe an approximation to continuous spatial models with a Matérn covariance that is based on the solution to a stochastic partial differential equation (SPDE). This approximation is computed … 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 →

# Basic Social Justice Orientations scale testing

## by Cristóbal Moya

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] The original publication has three tables where ALLBUS-2014 is used: The following analysis are focused on the first two tables (Table 15 and Table 8), because they contain the main resutls regarding this data source and the table from supplementary materials should not matter as long as factor loadings in Table 8 are correct. The descriptive statistics of the eight items displayed in Table 15 of the original article are reproduced from the article’s website … 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 →

# R for Social Scientists

## by Paul C. Bauer, Rudolf Farys

Script for a an R course at the European University Institute. … 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 →

# Brief introduction to Statistic

## by Daxue Consulting

Brief introduction to Statistic […] Many statistical quantities derived from data samples are found to follow the Chi-squared distribution. Hence we can use it to test whether a population fits a particular theoretical probability distribution. In this section, we consider a multinomial experiment with k outcomes that correspond to categories of a single qualitative variable. The results of such an experiment are summarized in a one-way table. The term one-way is used because only one variable is classified. Typically, we want to make inferences about the true proportions that occur in 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 →

# Novel methods for dose–response meta-analysis

## by Alessio Crippa

Novel methods for dose–response meta-analysis […] A single experiment can hardly provide a definitive answer to a scientific question. Science is oftentimes referred to as a cumulative process where results from many studies, aiming to address a common question of interest, contribute to create and update the scientific evidence. In the cumulative paradigm, meta-analysis is the statistical methodology to combine and compare the current evidence in the field. This process lies at the heart of the concept of evidence-based medicine and plays a major role in policy and decision making. … 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 →

# Estimacdiión en dominios pequeños

## by Grupo SAE - USTA

Estedd lidbro plantea una introducción a la estimación de áreas pequeñas con el software R. […] Este libro plantea una introducción a la estimación de áreas pequeñas con el software R. xxxx vv zz second commit in Github 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). For now, you have to install the development versions of bookdown from 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 to … 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 →

# dplyr 介紹

## by 林茂廷老師

dplyr 介紹 […] … 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 →

# Muestreo y análisis de estudios educacionales con R

## by Andrés Gutiérrez

Este es el repositorio del libro Diseño y análisis de estudios educacionales. […] Las fórmulas computacionales requeridas para estimar la varianza de estadísticas descriptivas como la media muestral están disponibles para algunos diseños complejos que incorporan elementos como la estratificación y el muestreo por conglomerados. Sin embargo, en el caso de estadísticas analíticas más complejas, tales como coeficientes de correlación y coeficientes de regresión, no se encuentra fácilmente las fórmulas específicas en diseños muestrales que se aparten del muestreo aleatorio simple. … 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 →

# Applications of Multivariate Analysis in Business

## by Ed Anderson

This document describes the concept of Mass Customisation as it applies to Business Analytics and provides case study implementations of R Studio […] It has been great being part of the Analytical Community the last few years. The excitement is everywhere about “big-data”,“data-science”,“MOOCs”. The talent being attracted into Analytics is awe inspiring.One current trend is ‘a shift from a desire to work for bigger name brand companies like Facebook or Google, to more mission-driven organizations attempting to make an impact on society. Whether it is curing cancer, conserving energy, … 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 →

# Studieren und Forschen mit dem Internet

## by Peter Baumgartner, Sabine Payr

Arbeitsprozesse und Werkzeuge des wissenschaftlichen Arbeitens. Gekürzte Ausgabe aus 2001, aber viele Inhalte noch aktuell. […] Studieren und Forschen mit dem Internet von Peter Baumgartner & Sabine Payr ist lizenziert unter einer Creative Commons Namensnennung - Weitergabe unter gleichen Bedingungen 4.0 International Lizenz.Über diese Lizenz hinausgehende Erlaubnisse können Sie unter http://peter.baumgartner.name/kontakt erhalten. Studieren und Forschen mit dem Internet ist 2001 beim StudienVerlag herausgekommen und heute vergriffen. Restexemplare können nach wie vor gebraucht über Amazon … Read more →

# Course Notes for IS 6489, Statistics and Predictive Analytics

## by Jeff Webb

Course notes for IS 6489. […] These are the course notes for IS 6489, Statistics and Predictive Analytics, offered through the Information Systems (IS) department in the University of Utah’s David Eccles School of Business. This is an exciting time for data analysis! The field has undergone a revolution in the last 15 years with increases in computing power and the availability of “big data” from web-based systems of data collection. “Data science” is the umbrella term that describes the result of this revolution—a new discipline at the intersection of many traditional fields such as … Read more →

# Lokal lagring og bruk av sensitive data

## by Are Edvardsen, SKDE

Veiledning i installasjon og bruk av VeraCrypt for sikker lagring og sletting av data ved Senter for klinisk dokumentajson og evaluering (SKDE), Helse Nord RHF. […] Analyse av sensitive og tidsavgrensede data inngår som en del av de praktiske oppgaven SKDE har. Egenskapene til slike data vil typisk være at de kun skal nås av en begrenset og definert gruppe av brukere samt at de effektivt må kunne slettes ved gyldighetsperiodens utløp. Dette gir noen spesielle utfordringer når brukere samtidig skal kunne arbeide effektiv og dele slike data seg imellom. Typisk for analysevirksomhet er også at … Read more →

# Probability and Statistics

## by Rob Carroll

These are the lecture notes for POS 5737, the introductory probability and statistics class in the graduate program in political science at Florida State University. […] These are the notes for POS 5737, taught in the Department of Political Science at Florida State University. They freely borrow from several well-known textbooks, including those by Wackerly, Mendenhall, and Scheaffer (2008), DeGroot and Schervish (2012), and Casella and Berger (2002). They also borrow from my own notes as a graduate student when I was taught by Kevin Clarke. Kevin was kind enough to provide his own old … Read more →

# R tips: 16 HOWTO’s with examples for data analysts

## by Lingyun Zhang

R tips: 16 HOWTO’s with examples for data analysts […] … Read more →

# ModernDive

## by Chester Ismay and Albert Y. Kim STARRING FRANK MCGRADE

An open-source and fully-reproducible electronic textbook bridging the gap between traditional introductory statistics and data science courses. […] Help! I’m new to R and RStudio and I need to learn about them! However, I’m completely new to coding! What do I do? If you’re asking yourself this question, then you’ve come to the right place! Start with our Introduction for Students. This is version 0.2.0 of ModernDive published on August 02, 2017. For previous versions of ModernDive, see Section 1.4. This book assumes no prerequisites: no algebra, no calculus, and no prior programming/coding … Read more →

# R Studio: A 3D Printer for Business Analytics

## by Ed Anderson

This document describes the concept of Mass Customisation as it applies to Business Analytics and provides case study implementations of R Studio […] Good Morning! How are you doing? It’s been great being part of the Analytical Community the last few years hasn’t it? The excitement is everywhere about “big-data”,“data-science”,“MOOCs”. I have been blown away by the talent being attracted into Analytics.One current trend is ‘a shift from a desire to work for bigger name brand companies like Facebook or Google, to more mission-driven organizations attempting to make an impact on society. … Read more →

# Data Science in Educational Research

## by Joshua M. Rosenberg

This is an introduction and tutorial for data science in educational research. … Read more →

# Papa’s Three Laws

## by 大鹏&朋友

This is a selection of a papa’s diary originally posted on my blog. A family’s stories of two children are told. This book is being updated. […] 我家有两个娃。大的是男孩，生于北京，唤作京生; 小的也是男孩，生于德国，唤作德生。 本书讲述的是我和我的朋友们的育儿和家庭故事。 … Read more →

# Data Science and Visualizations with R

## by Jonathan Wong

Data Science and Visualizations with R […] This is a course on the use of tidyverse packages tidyverse provides a complete suite of modern data-handling tools. It is an essential toolbox for any data scientist using R. The tidyverse package is designed to be easy to install. This course will dive into using tidyverse. It will assume you have already installed r and rstudio and how some familiarity on how to use the rstudio. This book will use the nycflights13 dataset This package contains information about all flights that departed from NYC in 2013: 336,776 flights with 16 variables. To … Read more →

# R語言套件之道

## by Cheng-Chung Li

寫這本書有幾個原因，除了將自己對於R語言所學做一個整理之外，還希望能讓更多人將自己製作的R functions包裝成符合CRAN規定的R packages, 放到網路上讓大家共享。其實國內R語言的高手很多，但是卻很少人知道如何將寫好的functions包成套件，而國內的參考資料也不多。因此頂多只能在公司內部分享，這實在是很可惜的事情。 我也希望藉由這樣的資料，讓臺灣的高手們被世界看到，一起為R語言貢獻一份心力。 […] 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). For now, you have to install the development versions of bookdown from Github: Remember each Rmd file contains one … Read more →

# (Very) basic steps to weight a survey sample

## by Josep Espasa Reig

(Very) basic steps to weight a survey sample […] This is an introductory guide to survey weighting. It provides a step-by-step walkthrough of the main procedures and explains the statistical principles behind them. The guide includes R code to implement all stages of survey weighting and reproduces the weighting procedures of the 7th European Social Survey in the UK. This text avoids technical notation and language and is targeted to social scientists with a basic level of statistics and probability theory. Readers without knowledge of R should be able to benefit from this text as it … Read more →

# The Unix Workbench

## by Sean Kross

The Unix Workbench […] Cover Image: A Goldsmith in his Shop by Petrus Christus This work by Sean Kross is licensed CC0. Zero rights … Read more →

# Gopnik Guide to Biology

## by Paulius Alaburda

Bandymas sukurti lengvą biologijos elektroninę knygą. […] Internetas Lietuvos švietimo įrankiams kol kas turėjo mažai įtakos. Vietoje popierinės knygutės atsirado elektroninės knygutės, pasiruošti valstybiniams egzaminams atsirado programėlės. Bet šie įrankiai susiję su kontrolės struktūromis sekti moksleivio progresą ir įvertinti, ar jis teisingai pasiruošė egzaminui. Tikra edukacija prasideda ne nuo pažymių ar atsiskaitymo po 12 metų, o pirminio klausimo - kodėl? Pirminė nuostaba, jog aplinka neatitinka mūsų vidinio realybės modelio pastumia imtis veiksmų išsiaiškinti, kur mes klydome ir … Read more →

# Notes

## by Miao YU

This is notes from yufree […] 这里的笔记主要来自于公开课笔记与相关教材的读书笔记，主题相对分散，但这些知识应该为当今科研人员的基本技能。 首先科研人员要有一定的数学与统计学功底，这是最最基本的工具学科。微积分、线性代数与数值方法是必须的数学工具，统计学工具则至少明白如何进行统计推断与预测。其余的要看应用，例如数论对密码学而言就是基础。 然后就是编程技能，编程方面首先要熟悉编程的思维方法，例如递归、迭代、条件语句等，也就是知道机器怎么运转。其次就是掌握一门高级语言，例如R、python或matlab，这样你可以快速实现自己的想法。 之后就是模型思维，懂得将实际问题抽象成一个概念问题或统计问题或仿真问 … Read more →

# Notes on R for AML100

## by Jordan T. Bates

Notes on R for the course AML100 at Arizona State University. […] These notes introduce the basics of the programming language R as needed for the course AML100. Notes on RStudio and R Markdown are included in … Read more →

# Underlagsrapport för En ännu bättre strålbehandling avseende incidens och prevalens av cancer i Västra Sjukvårdsregionen 2016-2030

## by Erik Bülow

Förutsägelse av framtida förekomst av cancer i Västra Sjukvårdsregionen. […] Rapporten presenteras i tre format, samtliga med samma text- och bildmässiga innehåll men med något olika tekniska lösningar. Om du läser denna rapports HTML-version så når du övriga format via nedladdningsikonen i sidhuvudet (se figur … Read more →

# 液体活检口袋书

## by Dr.Thunder, Ming, Youcai

Liquid biopsy pocket book (in Chinese), written by Bioinformatics engineers. […] 海普洛斯推出【液体活检口袋书】专栏，对液体活检进行系统、全面的介绍。每周三更新，向大家介绍关于液体活检的一切。 … Read more →

# Detecting collusion in goverment procurement contracts

## by Manuel Aragonés, Thalía Guerra, Roberto Sánchez and Mónica Zamudio

This publication is the result of five months of work for our Data Product Architecture class project. […] Since 2002, the Mexican Federal government handles most of its procurement biddings through a transactional platform called Compranet. Even though most of the information in the platform is public, authorities and organizations dedicated to fight corruption do not have a technical framework to better allocate their resources into cases. Our project consisted in developing an interactive dashboard for investigators to track particular contracts and to filter out low-risk … Read more →

# GuitaR Bookdown

## by 大鹏

This is a collection of my favorite songs with guitar chords, produced by bookdown. […] 最真的梦，就是用R语言的bookdown把R代码、作图、数据分析和吉他谱弄到一起。 啥？弄到一起有什么用？ 呃……容我清清脑子想一想…… 越过下面这座山丘，却发现无人等候…… 终会有一天 把心愿完成 带着你飞奔找永恒 [\int_0^\infty e^{-x^2} dx=\frac{\sqrt{\pi}}{2}] 本书的吉他谱，在网页上看不见，只有点击下载pdf才能看见哦。 … Read more →

# Föll í R - Dæmi

## by Eyþór Björnsson

Föll í R - Dæmi […] Hér eru dæmi um notkun á föllum sem ég hef skrifað og má finna á GitHub. Þetta eru aðallega föll sem spara mikinn tíma við uppsetningu á algengum töflum fyrir vísindagreinar (á sviði læknavísinda) en eru líka hjálpleg til þess að átta sig á fylgni milli mismunandi breyta í gagnasafninu. Þessi síða er búin til með bookdown. Það er frábær pakki sem tvinnar saman R markdown skrár og setur saman í aðgengilegt html-bókarsnið. Í öllum dæmunum er notast við ‘diabetes’ gagnasettið sem er aðgengilegt frá http://biostat.mc.vanderbilt.edu/wiki/Main/DataSets. The data consist of 19 … Read more →

# Egils saga Skalla-Grímssonar

## by eythorbj

Egils saga Skalla-Grímssonar […] Texti Egils sögu var afritaður af vefsíðu The Icelandic Saga Database (sótt 15. maí 2017) og útbúinn fyrir birtingu hér með R markdown og bookdown pakkanum í R. Eyþór Björnsson, 15. maí … Read more →

# Literature thesis: Building a framework for retrieving information on multispecies interactions from published literature

## by Gabriel Muñoz

Literature thesis: Building a framework for retrieving information on multispecies interactions from published literature […] The generation of new global hypothesis, destined to understand our current global biodiversity crisis, requires a large amount of information. Our knowledge in Ecology is principally contained in the form of published articles. This global body of literature holds a significant amount of primary data on species distributions and interactions across a large geographical and temporal scale. In this literature review, I explore the use of different computational tools … Read more →

# The Art of Data Science

## by Roger D. Peng and Elizabeth Matsui

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 →

# An approach to identify the sources of low-carbon growth for Europe

## by Georg Zachmann, Bruegel gz@bruegel.org, Robert Kalcik, Bruegel robert.kalcik@bruegel.org

This website serves to illustrate the findings of the policy contribution ‘An approach to identify the sources of low-carbon growth for Europe’ and allows a deeper dive into the underlying data. […] This website serves to illustrate the findings of the policy contribution “An approach to identify the sources of low-carbon growth for Europe” (Zachmann 2016) and allows a deeper dive into the underlying data. The website is focused on presenting figures and deliberately only offers short descriptions and interpretations. The research underlying this report has been financially supported by the … Read more →

# Notas sobre Estimación Puntual

## by Peter Olejua

Se desarrolla el tema de estimación puntual para el curso Métodos en Bioestadística I perteneciente al Maestría en Bioestadística de la Universidad Javeriana […] En las siguientes páginas se desarrolla brevemente el tema de estimación puntual. Forma parte de una evaluación para el curso Métodos en Bioestadística I, perteneciente al Maestría en Bioestadística de la Universidad Javeriana. Este trabajo puede usado como una introducción, a manera de notas de clases o como un inicio de colaboración a un escrito más amplio y completo sobre estimación puntual. Cualquier crítica, aporte y/o … Read more →

# An approach to identify the sources of low-carbon growth for Europe

## by Georg Zachmann

Draft website for the European Climate Foundation […] This website serves to illustrate the findings of the policy contribution “An approach to identify the sources of low-carbon growth for Europe” (Zachmann 2016) and allows a deeper dive into the underlying data. The website is focused on presenting figures and deliberately only offers curt descriptions/interpretations. It is currently structured into five chapters but we plan to extend it when further steps of our analysis become available. The research underlying this report has been financially supported by the European Climate … Read more →

# Advances on the analysis on connectivity of Raphia taedigera palm swamps for Central America

## by Gabriel Muñoz

Advances on the analysis on connectivity of Raphia taedigera palm swamps for Central America … Read more →

# Data lunch 2feb: The use of Bookdown to write documents and reports

## by Gabriel Muñoz

Data lunch 2feb: The use of Bookdown to write documents and reports […] Make sure you have installed the latest version of R and the Preview Release of RStudio. The following packages should be installed. If you have them already make sure they are updated. The most up to date versions are the “in development” versions from gitHub. Do you have Pandoc installed? RStudio should come along with Pandoc. and latex ? ( if you want to have PDF outputs as well) note that PDF does not allow interactive plots If you do not have latex installed Mac OS X –> MacTeX (http://www.tug.org/mactex/) Linux … Read more →

# 기초통계 개념정리

## by 김진섭

This is a basic statistics book written by JSKIM. […] This is a basic statistics book written by Jinseob … Read more →

# Revealed comparative advantage and network centrality

## by Sergej Kaiser

Revealed comparative advantage and network centrality … Read more →

# R for Data Science

## by Garrett Grolemund, Hadley Wickham

This book will teach you how to do data science with R: You’ll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and model it. In this book, you will find a practicum of skills for data science. Just as a chemist learns how to clean test tubes and stock a lab, you’ll learn how to clean data and draw plots—and many other things besides. These are the skills that allow data science to happen, and here you will find the best practices for doing each of these things with R. You’ll learn how to use the grammar of graphics, literate programming, and reproducible research to save time. You’ll also learn how to manage cognitive resources to facilitate discoveries when wrangling, visualising, and exploring data. Read more →

# A Minimal Book Example

## by Yihui Xie (Daniel Kim translated it into Korean)

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 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). For now, you have to install the development versions of bookdown from 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 to install XeLaTeX. 이 예제를 PDF로 컴파일하려면, XeLaTeX을 … Read more →

# R aplicado à Biologia: uma introdução descomplicada e divertida!

## by Marcos Vital, do Laboratório de Ecologia Quantitativa da UFAL

Este é o livro ao vivo do blog Cantinho do R […] Este material foi construído com a ajuda de muitas pessoas que acreditam no LEQ e em Ciência Livre. Muito obrigado! Para mais material, visite o Cantinho do R Um prefácio da nova apostila do Cantinho do R Viva! Depois de uma longa demora (pelo menos para quem nos acompanha desde o começo), aqui está a nossa nova apostila do Cantinho do R! :D Se você é um recém chegado, acho que eu tenho que começar explicando aqui o que é, pra que serve e de onde nasceu este material, não é? É disso que se trata este primeiro capítulo. Mas não se preocupe, … Read more →

# Do not use averages with Likert scale data

## by Dwight Barry

This is a short overview of why averages don’t work well for evaluating Likert scale or other ordinal-scale data, and what to do instead, with examples using R. While the examples are focused on healthcare surveys, the lessons apply to any use of ordinal scale data. Note: all of the data in this document is fake, created specifically to illustrate particular points. Contact/Twitter: @healthstatsdude PDF version: Website: https://bookdown.org/Rmadillo/likert/ Corrections/Pull requests: https://github.com/Rmadillo/likert Cover image: Gustave Doré, 1863. Illustration 12 for Cervantes’s Don … Read more →

# Dengue Forecasting Project

## by Raghvendra Jain

This is a book that contains experiments and results about the predictions of dengue outtbreaks in Thailand. […] This is a sample book written in Markdown. For now, you have to install the development versions of bookdown from Github: … Read more →

# Interactive Data Visualization (2nd Day)

## by Paul C. Bauer & Richard Traunmüller

Script developed for a workshop at the CUSO doctoral school on the 4th and 5th November 2016. […] This document serves as slides and script for the second day of the workshop Data Visualization taught by Paul C. Bauer and Richard Traunmüller for the Programme doctoral en science politique (PDSPO) (Bern, 4-5 of November 2016). The present material is licensed under a Creative Commons Attribution-ShareAlike License 3.0. Regarding further use of this material contact Paul. Some of the material is inspired by the official shiny tutorial and Plotly for R by Carston Sievert. For potential future … Read more →

# ggplot2逆引き集

## by @kazutan

これはggplot2逆引き集です。 […] これはQiitaで公開されているggplot2逆引きの記事を集めたものです。今のところ，@kazutanが作成した12本をまとめています。 なにかありましたら，以下のGithubリポジトリのissueもしくはTwitterの@kazutanまでおねがいします。 … Read more →

# R Powered Web Applications with Shiny

## by Zev Ross (with Andrew Clark)

R Powered Web Applications with Shiny […] This is a book version, transcribed by Andrew Clark using RStudio’s bookdown package, of an extensive blog post by Zev Ross. The book version has the advantage of being available in several formats, more easily updated and downloadable. However, for an interactive version refer to the above mentioned blog … Read more →

# Premier League Annual

## by Andrew Clark

Premier League Annual […] This is an ‘on the fly’ annual based on the 2016/17 Premier League season, updated weekly with charts, tables, highlight videos and trivia related to the games played. Each chapter features static visualizations relevant to the games that week. Greatly extended, fully-interactive and constantly updated versions can be found on the accompanying dashboard site Additional data is available at the Premier League Web site Most of the underlying data is unofficial, unguaranteed error-free and available for a million dollars. There is also likely to be use of James … Read more →

# Spark Social Science Manual

## by Research Programming, The Urban Institute

Spark Social Science Manual […] Let the sample mean, (\hat{\mu}), be the parameter estimate for our mean parameter (\mu) and the null hypothesis of the t-test be (H_0): (/mu = 0). The test statistic is given by (\hat{\mu} / (\hat{\sigma} / \sqrt{n})). Remember that the p-value is determined by the test statistic and the t-distribution with ((n – 2)) degrees of freedom in this case. By the Central Limit Theorem, (\sqrt{n}*(\hat{\mu}-\mu) \rightarrow N(0,\sigma^2)) as (n \rightarrow \infty), or written differently as (\hat{\mu} \rightarrow \mu + \frac{\sigma}{\sqrt{n}}N(0,1)) … Read more →

# Multivariate Analysis with Optimal Scaling

## by Jan de Leeuw, Patrick Mair, Patrick Groenen

In 1980 members of the Department of Data Theory at the University of Leiden taught a post-doctoral course in Nonlinear Multivariate Analysis. The course content was sort-of-published, in Dutch, as Gifi (1980). The course was repeated in 1981, and this time the sort-of-published version (Gifi (1981)) was in English. The preface gives some details about the author. The text is the joint product of the members of the Department of Data Theory of the Faculty of Social Sciences, University of Leiden. ‘Albert Gifi’ is their ‘nom de plume’. The portrait, however, of Albert Gifi shown here, is that … Read more →

# Econ 215 Notes

## by Salfo Bikienga

Lecture notes for my introduction to statistics class at University of Nebraska-Lincoln. […] This is supposed to be your first course in statistics. So the goal is to give you an overview of what statistics is, why it is a powerful thing to know, how you can use it to make informed decision or understand “numbers speak” people throw around in the news. At the end of this class, I hope: 1- You understand the importance of statistics; 2- You can better appreciate the numbers you get from the news; 3- You can perform your own analysis to inform yourself, and your collaborators. The explosion … Read more →

# Getting used to R, RStudio, and R Markdown

## by Chester Ismay

An introduction into using R, RStudio, and R Markdown for new users […] In the HTML version of this book, you can also download the PDF version of the book by clicking on PDF button in the top toolbar of the page. HTML is the preferred format but the PDF format may be preferred for some readers. Links to the different GIFs directly found in the HTML version are provided in the PDF version. This resource is designed to provide new users to R, RStudio, and R Markdown with the introductory steps needed to begin their own reproducible research. A review of many of the common R errors … Read more →

# Руководство по data.table

## by Андрей Огурцов

Руководство по пакету data.table: перевод виньеток, справочная иформация. […] Вступление Данное руководство содержит переводы всех виньеток по пакету data.table. Все, кроме последней, переведены с версий от июня 2015 г.; последняя - с версии от апреля 2016 г. Переводы будут актуализироваться, также планируется добавить другие материалы. … Read more →

# Principles of Econometrics with R

## by Constantin Colonescu

This is a beginner’s guide to applied econometrics using the free statistics software R. […] … Read more →

# Chess Encounters

## by Andrew Clark and Joshua Kunst

Chess Encounters […] … Read more →

# Notes and Codes while Learning R

## by Scott Ming

这里是明生学 R 的笔记。 […] Bookdown 是个很赞的写作工具，在这里记录一些自己学习 R 与数据科学的笔记，如有错误，欢迎指出。我的 GitHub 地址：https://github.com/scottming … Read more →

# useR2016 Conference Videos

## by Andrew Clark

Chart, interactive table and a selection of videos from the useR2016 conference […] This acts as a repository for some of my favourite video talks from the recent useR2016 conference along with the ability to view any of the offerings via a clickable table. It is probably not the most effective of presentation but is a trial run for creating and deploying interactive books to bookdown.org Andrew Clark is an independent R developer based in North Vancouver He has for many years supplied statistical sports data on the web but with the interactive opportunities arising from the shiny framework … Read more →

# Shiny Tutorial

## by Weicheng Zhu

This is a shiny tutorial. […] Some basic knowlege about the R lanuage is requred. It would be helpful if you have some basic knowlege about HTML, CSS and javascript, but they are not … Read more →

# Backtesting Strategies with R

## by Tim Trice

Backtesting strategies with R […] This book is designed to not only produce statistics on many of the most common technical patterns in the stock market, but to show actual trades in such scenarios. Test a strategy; reject if results are not promising Apply a range of parameters to strategies for optimization Attempt to kill any strategy that looks promising. Let me explain that last one a bit. Just because you may find a strategy that seems to outperform the market, have good profit and low drawdown this doesn’t mean you’ve found a strategy to put to work. On the contrary, you must work to … Read more →

# Praktiskā biometrija

## by Didzis Elferts

Piemēri darbā ar programmu R, lai risinātu statistikas problēmas bioloģijā. […] Praktiskā biometrija Šī grāmata ir mans mēģinājums samērā vieglā formā ar minimālu teorijas materiālu sniegt praktiskus padomus statistisko analīžu veikšanā biologiem. Tā kā uzsvars ir likts uz vārdu ‘’praktiski’’, tad lielāko grāmatas daļu sastāda piemēri tam, kā veikt katru no apskatītajiem statistiskajiem testiem. Plašāka teorētiskā pamatojuma iegūšanai noderēs citu autoru darbi. Nenoliedzami nopietnākais darbs latviešu valodā biometrijas jomā ir jāmin Liepa (1974) grāmata, angļu valodā tas būtu kāds no … Read more →

# A Minimal Book Example

## 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. […] 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). For now, you have to install the development versions of bookdown from Github: Remember each Rmd file contains one and only one chapter, and a chapter is defined by the first-level heading … Read more →

# Block Relaxation Methods in Statistics

## by Jan de Leeuw

The book discusses block relaxation, alternating least squares, augmentation, and majorization algorithms to minimize loss functions, with applications in statistics, multivariate analysis, and multidimensional scaling. […] Many recent algorithms in computational statistics are variations on a common theme. In this book we discuss four such classes of algorithms. Or, more precisely, we discuss a single large class of algorithms, and we show how various well-known classes of statistical algorithms fit into this common framework. The types of algorithms we consider are, in logical order, … Read more →

# APL in R

## by Jan de Leeuw, Masanao Yajima

R versions of the array manipulation functions of APL are presented. We do not translate the system functions or other parts of the runtime. Also, the current version has does not have the nested arrays of APL2. […] APL was introduced by Iverson (1962). It is an array language, with many functions to manipulate multidimensional arrays. R also has multidimensional arrays, but not as many functions to work with them. In R there are no scalars, there are vectors of length one. For a vector x in R we have dim(x) equal to NULL and length(x) > 0. For an array, including a matrix, we have … Read more →

# CAPITAL AS POWER

## by Jonathan Nitzan and Shimshon Bichler

CAPITAL AS POWER […] The electronic version of this work is protected by CreativeCommonsAttribution-Non Commercial-No Derivatives 2.5 Canada You are free to share, copy, distribute and transmit the electronic version of this work, in whole or in part, under the following conditions: Attribution. You must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work). Noncommercial. You may not use this work for commercial purposes. No Derivative Works. You may not alter, transform, or build upon this … Read more →

# Dialogues Concerning Natural Religion

## by David Hume

David Hume’s Dialogues Concerning Natural Religion […] Original text from Project Gutenberg. This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at http://www.gutenberg.net. This page is created using the Tufte package within Bookdown. Both were written by primarily by Yihue Xie. Pamphilus to Hermippius It has been remarked, my HERMIPPUS, that though the ancient philosophers conveyed most of their instruction in the … Read more →

# 16S rRNA analysis

## by R.Lappan

Documentation describing my analyses of 16S rRNA sequencing data. […] My name is Rachael Lappan, and I am a PhD candidate at the University of Western Australia. The core of my PhD work is the Perth Otitis Media Microbiome (biOMe) study, where I work on the upper respiratory tract microbiome in children with recurrent acute otitis media (middle ear infections). The first stage of this research involved characterising the microbiome (by 16S rRNA gene sequencing) on samples from children with ear infections compared with samples from seemingly resistant healthy controls. The paper can be … Read more →

# A Practical Extension of Introductory Statistics in Psychology using R

## by Ekarin E. Pongpipat, Giuseppe G. Miranda, & Matthew J. Kmiecik

This book aims to provide a practical extension of introductory statistics typically taught in psychology into the general linear model (GLM) using R. […] Typically, introductory univariate statistics courses in psychology cover the following inferential analyses (plus or minus a few more analyses): These conventions may be useful for quickly talking about a particular statistical analysis with others; however, thinking of these analyses as derivatives (or special cases) of the GLM (i.e., ordinary least squares [OLS] regression) lends itself to understanding more advanced statistical … Read more →

# A Short Introduction to Applied Statistical Programming in R

## by Robert Schnitman

The purpose of this book is to teach students of social science statistics courses how to program in R for data analysis. Primarily focusing on Base R, this book will teach R “from the ground up,” teaching the fundamentals without using external packages unless necessary or for quick demonstrations on the programming language’s extensions. Overall, I hope that students will learn enough from this book to conduct data analysis in R independently. Because I know people live busy lives, please feel free to skip chapters or simply only review the Summary subsections at the end of them–they are … Read more →

# Advanced R

## by Hadley Wickham

The book is designed primarily for R users who want to improve their programming skills and understanding of the language. It should also be useful for programmers coming to R from other languages, as help you to understand why R works the way it does. […] This is the website for the 2nd edition of “Advanced R”, a book in Chapman & Hall’s R Series. The book is designed primarily for R users who want to improve their programming skills and understanding of the language. It should also be useful for programmers coming to R from other languages, as it helps you to understand why R works the … Read more →

# Advanced R Solutions

## by Malte Grosser, Henning Bumann & Hadley Wickham

Solutions to the Exercises in Hadley Wickham’s book ‘Advanced R.’ […] This book offers solutions to the exercises from Hadley Wickham’s book Advanced R (Edition 2). It is work in progress and under active development. The 2nd edition of Advanced R has been published and we are currently working towards completion. The solutions to the first edition of Advanced R can currently be found at https://advanced-r-solutions-ed1.netlify.com. The code for this book can be found on GitHub. Your PRs and suggestions are very welcome. This work by Malte Grosser and Henning Bumann is licensed under a … Read more →

# Agile Data Science with R

## by Edwin Thoen

A workflow for doing data science in the R language, using Agile principles. […] When I was starting my career as a data scientist, I did not really have a workflow. Freshly out of statistics grad school I entered the arena of Dutch business, employed by a small consulting firm. Between the company, the potential clients and myself, no one knew what it meant to implement a statistical model or a machine learning method in the “real” world. But everybody was interested in this “Big Data” thing, so we quickly started to do consulting work without a clear idea what I was going to do. When we … Read more →

# Big Book of R

## by Oscar Baruffa

Big Book of R […] Thanks for stopping by. If you’re like me, you can’t help but bookmark every R-related programming book you find in the hopes that one day you, or someone you know, might find it useful. Hopefully this is the only bookmark you’ll need in future ;). When I initially released this collection in late August 2020, it contained about 100 books that I’d been collecting over the previous two years. Since then I’ve found a few more and there have been contributions from many people. The collection now stands at about 150 books. Most of these are free. Some are paid but usually … Read more →

# Big Data and Social Science

## by Ian Foster, Rayid Ghani, Ron S. Jarmin, Frauke Kreuter and Julia Lane

Big Data and Social Science […] The class on which this book is based was created in response to a very real challenge: how to introduce new ideas and methodologies about economic and social measurement into a workplace focused on producing high-quality statistics. Since the first edition of this book came out we have been fortunate to train over 450 participants in the Applied Data Analytics classes, resulting in increased data analytics capacity, both in terms of human and technical resources. What we learned in delivering these classes greatly influenced the 2nd edition. We also added an … Read more →

# Climate Change Impact Assessment: A practical walk-through

## by Conor I. Anderson and Karen L. Smith

A lab manual for students of Climate Change Impact Assessment […] This book is an open source document, hosted on GitLab (project page), and published using GitLab Pages, where you are probably reading it now. The book is automatically updated and republished every time changes are committed to the project, using the GitLab multi runner CI engine, and a Docker image with a distribution of Miniconda, including Python 3 and R. The book is built using the bookdown package (Xie 2020) in R, and pandoc. Most of the code is executed in Python from within R using the reticulate package (Ushey, … Read more →

# ComplexHeatmap Complete Reference

## by Zuguang Gu

Complex heatmaps are efficient to visualize associations between different sources of data sets and reveal potential patterns. Here the ComplexHeatmap R package provides a highly flexible way to arrange multiple heatmaps and supports various annotation graphics. This book is the complete reference to ComplexHeatmap pacakge. […] This is the documentation of the ComplexHeatmap package. Examples in the book are generated under version 2.5.6. You can get a stable Bioconductor version from http://bioconductor.org/packages/release/bioc/html/ComplexHeatmap.html, but the most up-to-date version is … Read more →

# CookDown

## by Ellis Valentiner

A collection of recipes. […] This is a collection of recipes written in Bookdown. Feel free to … Read more →

# Data Science in Education Using R

## by Ryan A. Estrellado, Emily A. Bovee, Jesse Mostipak, Joshua M. Rosenberg, and Isabella C. Velásquez

Bookdown for ‘Data Science in Education Using R’ by Emily A. Bovee, Ryan A. Estrellado, Jesse Mostipak, Joshua M. Rosenberg, and Isabella C. Velásquez to be published by Routledge in 2020 […] Welcome to Data Science in Education Using R! Inspired by {bookdown}, this book is open source. Its contents are reproducible and publicly accessible for people worldwide. The online version of the book is hosted at datascienceineducation.com. There’s this story going around the internet about an eagle egg that hatches in a chicken farm. The eagle egg hatches near the chicken eggs. The local hens are … Read more →

# Data Science Live Book

## by Pablo Casas

An intuitive and practical approach to data analysis, data preparation and machine learning, suitable for all ages! […] This book is now available at Amazon. Check it out! 📗 🚀. Link to the black & white version, also available on full-color. It can be shipped to over 100 countries. 🌎 The book will facilitate the understanding of common issues when data analysis and machine learning are done. Building a predictive model is as difficult as one line of R code: That’s it. But, data has its dirtiness in practice. We need to sculp it, just like an artist does, to expose its information in order … Read more →

# Data Science Practice

## by Perry Stephenson

Course notes for 94692 Data Science Practice at the University of Technology, Sydney. […] This website forms the course notes for 94692 Data Science Practice which is an elective subject developed as part of the Master of Data Science and Innovation program at the University of Technology, Sydney. For more information about this subject see the Subject Information. For more information about the MDSI program see the MDSI Prospectus. Whilst these course materials have been produced specifically for MDSI students, they have been made available under a permissive license for the benefit of the … Read more →

# Data Visualization

## by Kieran Healy

A practical introduction. […] Published by Princeton University Press. Incomplete draft. This version: 2018-04-25. You should look at your data. Graphs and charts let you explore and learn about the structure of the information you collect. Good data visualizations also make it easier to communicate your ideas and findings to other people. Beyond that, producing effective plots from your own data is the best way to develop a good eye for reading and understanding graphs—good and bad—made by others, whether presented in research articles, business slide decks, public policy advocacy, or … Read more →

# Estadística Multivariada

## by María Teresa Ortiz, Felipe González

Curso de estadística multivariada, Maestría en Ciencia de Datos, ITAM 2015. […] Notas del curso Estadística Multivariada del programa de maestría en Ciencia de Datos del ITAM. Las notas fueron desarrolladas en 2014 por Teresa Ortiz y Felipe González y actualizadas en 2015, actualmente se trabaja en una segunda actualización. En caso de encontrar errores o tener sugerencias del material se agradece la propuesta de correcciones mediante pull requests. Notas: https://est-mult.netlify.com Correo: teresa.ortiz.mancera@gmail.com GitHub: https://github.com/tereom/est-multivariada Este trabajo está … Read more →

# Faylab Lab Manual

## by Gavin Fay & Ashleigh Novak

Welcome to our book of magical secrets. This is the lab manual for the Fay Lab at the University of Massachusetts Dartmouth School for Marine Science and Technology. The focus of our work centers around developing interdisciplinary modeling approaches to extend the scope of applications for fisheries and ecosystem-based management. More about our group’s research activity can be found on our website. This lab manual resource is intended to provide an overview for lab members and others about how we do our work, and our expectations for our team. It is also a space to document institutional … Read more →

# Forecasting: Principles and Practice

## by Rob J Hyndman and George Athanasopoulos

Welcome to our online textbook on forecasting. This textbook is intended to provide a comprehensive introduction to forecasting methods and to present enough information about each method for readers to be able to use them sensibly. We don’t attempt to give a thorough discussion of the theoretical details behind each method, although the references at the end of each chapter will fill in many of those details. The book is written for three audiences: (1) people finding themselves doing forecasting in business when they may not have had any formal training in the area; (2) undergraduate … Read more →

# Fundamentals of Data Visualization

## by Claus O. Wilke

A guide to making visualizations that accurately reflect the data, tell a story, and look professional. […] This is the website for the book “Fundamentals of Data Visualization,” published by O’Reilly Media, Inc. The website contains the complete author manuscript before final copy-editing and other quality control. If you would like to order an official hardcopy or ebook, you can do so at various resellers, including Amazon, Barnes and Noble, Google Play, or Powells. The book is meant as a guide to making visualizations that accurately reflect the data, tell a story, and look professional. … Read more →

# Handling Strings with R

## by Gaston Sanchez with contributions from Chitra Venkatesh

This book aims to provide a panoramic perspective of the wide array of string manipulations that you can perform with R. If you are new to R, or lack experience working with character data, this book will help you get started with the basics of handling strings. Likewise, if you are already familiar with R, you will find material that shows you how to do more advanced string and text processing operations. Read more →

# Hands-On Programming with R

## by Garrett Grolemund

This book will teach you how to program in R, with hands-on examples. I wrote it for non-programmers to provide a friendly introduction to the R language. You’ll learn how to load data, assemble and disassemble data objects, navigate R’s environment system, write your own functions, and use all of R’s programming tools. Throughout the book, you’ll use your newfound skills to solve practical data science problems. Read more →

# How I Use R

## by David Keyes // R for the Rest of Us

How I Use R […] Since 2018, I’ve been teaching people to use R through my company, R for the Rest of Us. It’s an incredibly rewarding experience to see people learn to use this powerful piece of software, but it can also be frustrating. One of the hardest parts of learning R (or any language) is taking knowledge from exercises and applying it to an actual project you’re working on. Concepts that make sense in the classroom suddenly become muddled when you’re back at your desk trying to use R to write a report. One of the biggest challenges I’ve had as a teacher is helping people in this … Read more →

# KUT 計量経済学応用

## by 矢内 勇生

KUT 計量経済学応用 […] この資料は、高知工科大学 (KUT) 経済・マネジメント学群で2020年度に開講する「計量経済学応用」の補助教材である。 受講生は、以下の3点に注意されたい。 この資料以外の授業資料（解説音声付きスライドや配布資料など）は、KUTLMS (Moodle) にアップロードする。 この資料以外に教科書が必要である。 この授業は、「計量経済学」（とその前提となる「統計学2」）を履修済みであることを前提に進める。そのため、この授業（この資料）では： これらの点に不安がある場合は、2Qの早い時期（6月の第3週頃まで）に自分で計量経済学の内容を学習（復習）するか、今年度の3Qに「計量経済学」を受講してから、来年度の「計量経済学応用」を受講すること。自分 … Read more →

# Lightweight Machine Learning Classics with R

## by Marek Gagolewski

Explore some of the most fundamental algorithms which have stood the test of time and provide the basis for innovative solutions in data-driven AI. Learn how to use the R language for implementing various stages of data processing and modelling activities. Appreciate mathematics as the universal language for formalising data-intense problems and communicating their solutions. The book is for you if you’re yet to be fluent with university-level linear algebra, calculus and probability theory or you’ve forgotten all the maths you’ve ever learned, and are seeking a gentle, yet thorough, introduction to the topic. Read more →

# Mastering Spark with R

## by Javier Luraschi, Kevin Kuo, Edgar Ruiz

The Complete Guide to Large-Scale Analysis and Modeling. […] In this book you will learn how to use Apache Spark with R. The book intends to take someone unfamiliar with Spark or R and help you become proficient by teaching you a set of tools, skills and practices applicable to large-scale data science. You can purchase this book from Amazon, O’Reilly Media, your local bookstore, or use it online from this free to use website. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 United States … Read more →

# Math Prefresher for Political Scientists

## by iqss.github.io

Text for Harvard Department of Government Math Prefresher […] The Harvard Gov Prefresher is held each year in August. All relevant information is on our website, including the day-to-day schedule. The 2020 Prefresher instructors are Laura Royden and Hunter Rendleman, and the faculty sponsor is Gary King. This booklet serves as the text for the Prefresher, available as a webpage updated automatically and as a printable PDF updated manually. It is the product of generations of Prefresher instructors. See below for a full list of instructors and contributors. For information about the role of … Read more →

# Mixed Models with R

## by Michael Clark m-clark.github.io

This is an introduction to using mixed models in R. It covers the most common techniques employed, with demonstration primarily via the lme4 package. Discussion includes extensions into generalized mixed models, Bayesian approaches, and realms beyond. […] Michael Clark m-clark.github.io … Read more →

# mixOmics vignette

## by Kim-Anh Le Cao1, Sebastien Dejean2, Al J Abadi3

Vignette for the R package mixOmics […] This document outlines the use of our key functions in our mixOmics package. If you run into any issues reproducing these results, please let us know by creating an issue here. We welcome transparent discussions and suggestions, feel free to on our new mixOmics Discourse forum! This document outlines the use of our key functions in our mixOmics package. If you run into any issues reproducing these results, please let us know by creating an issue here. We welcome transparent discussions and suggestions, feel free to share your own on our new mixOmics … Read more →

# Odds & Ends

## by Jonathan Weisberg

An open access textbook for introductory philosophy courses on probability and inductive logic. […] This textbook is for introductory philosophy courses on probability and inductive logic. It is based on a typical such course I teach at the University of Toronto, where we offer “Probability & Inductive Logic” in the second year, alongside the usual deductive logic intro.(,) The book assumes no deductive logic. The early chapters introduce the little that’s used. In fact almost no formal background is presumed, only very simple high school algebra. Several well known predecessors inspired … Read more →

# Orchestrating Single-Cell Analysis with Bioconductor

## by release

Or: how I learned to stop worrying and love the t-SNEs. […] This is the website for “Orchestrating Single-Cell Analysis with Bioconductor”, a book that teaches users some common workflows for the analysis of single-cell RNA-seq data (scRNA-seq). This book will teach you how to make use of cutting-edge Bioconductor tools to process, analyze, visualize, and explore scRNA-seq data. Additionally, it serves as an online companion for the manuscript “Orchestrating Single-Cell Analysis with Bioconductor”. While we focus here on scRNA-seq data, a newer technology that profiles transcriptomes at the … Read more →

# Physik Libre

## by Michael A. Rundel, et al.

Freies Physikbuch für die Sekundarstufe II … Read more →

# R for Data Science

## by Garrett Grolemund, Hadley Wickham

This book will teach you how to do data science with R: You’ll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and model it. In this book, you will find a practicum of skills for data science. Just as a chemist learns how to clean test tubes and stock a lab, you’ll learn how to clean data and draw plots—and many other things besides. These are the skills that allow data science to happen, and here you will find the best practices for doing each of these things with R. You’ll learn how to use the grammar of graphics, literate programming, and reproducible research to save time. You’ll also learn how to manage cognitive resources to facilitate discoveries when wrangling, visualising, and exploring data. Read more →

# R Packages

## by Hadley Wickham, Jennifer Bryan

This book will teach you how to create a package, the fundamental unit of shareable, reusable, and reproducible R code. […] Packages are the fundamental units of reproducible R code. They include reusable R functions, the documentation that describes how to use them, and sample data. In this book you’ll learn how to turn your code into packages that others can easily download and use. Writing a package can seem overwhelming at first. So start with the basics and improve it over time. It doesn’t matter if your first version isn’t perfect as long as the next version is better. This is where … Read more →

# R pour les scientifiques : Mise en œuvre de projets et valorisation des résultats

## by François Rebaudo

Un guide pour acquérir les bases de la programmation avec R et conduire efficacement la gestion et l’analyse de ses données. … Read more →

# Self-Control in Cyberspace: Applying Dual Systems Theory to a Review of Digital Self-Control Tools

## by Ulrik Lyngs, Kai Lukoff, Petr Slovak, Reuben Binns, Adam Slack, Michael Inzlicht, Max Van Kleek, Nigel Shadbolt

Self-Control in Cyberspace: Applying Dual Systems Theory to a Review of Digital Self-Control Tools […] Note: This is the author’s version of the work. The definitive Version of Record was published in CHI Conference on Human Factors in Computing Systems Proceedings (CHI 2019), May 4–9, 2019, Glasgow, Scotland UK, doi.org/10.1145/3290605.3300361. Smartphones and laptops give their users access to an astonishing range of tasks anywhere, anytime. While this provides innumerable benefits, a growing amount of public discussion and research attention focuses on a perhaps unexpected … Read more →

# Spreadsheet Munging Strategies

## by Duncan Garmonsway

Spreadsheet Munging Strategies […] This is a work-in-progress book about getting data out of spreadsheets, no matter how peculiar. The book is designed primarily for R users who have to extract data from spreadsheets and who are already familiar with the tidyverse. It has a cookbook structure, and can be used as a reference, but readers who begin in the middle might have to work backwards from time to time. R packages that feature heavily are Tidyxl and unpivotr are much more complicated than readxl, and that’s the point. Tidyxl and unpivotr give you more power and complexity when you need … Read more →

# Statistical Analysis of Agricultural Experiments using R

## by Andrew Kniss & Jens Streibig

Using the R language to analyze agricultural experiments. […] Kniss AR, Streibig JC (2018) Statistical Analysis of Agricultural Experiments using R. https://Rstats4ag.org. Accessed … Read more →

# Statistical Thinking for the 21st Century | statsthinking21

Main web site for Statistical Thinking for the 21st Century Core statistical text R companion Python companion (coming soon!) This project is maintained by statsthinking21 Hosted on GitHub Pages — Theme by … Read more →

# Tidy evaluation

## by Lionel Henry, Hadley Wickham

The primary goal of this book is to get you up to speed with tidy evaluation and how to write functions around tidyverse pipelines and grammars. […] This guide is now superseded by more recent efforts at documenting tidy evaluation in a user-friendly way. We now recommend reading: The new Programming with dplyr vignette. The Using ggplot2 in packages vignette. We are keeping this bookdown guide online for posterity, but please know that it is missing a lot of advances that make tidy eval more palatable, such as the embracing operator {{ arg }} and glue support for custom … Read more →

# Tidy Modeling with R

## by Max Kuhn and Julia Silge

Modeling of data is integral to science, business, politics, and many other aspects of our lives. The goals of this book are to: introduce neophytes to models and the tidyverse, demonstrate the tidymodels packages, and to outline good practices for the phases of the modeling process. […] This is the website for Tidy Modeling with R. This book is a guide to using a new collection of software in the R programming language for model building, and it has two main goals: First and foremost, this book provides an introduction to how to use our software to create models. We focus on a dialect of R … Read more →

# Tidy tools for supporting fluent workflow in temporal data analysis

## by Earo Wang

This is the website for my PhD thesis at Monash University (Australia), titled “Tidy tools for supporting fluent workflow in temporal data analysis”. … Read more →

# Twitter for R programmers

## by Oscar Baruffa, Veerle van Son

Twitter for R programmers […] Artwork by @allison_horst The R community is very active on Twitter. You can learn a lot about the language, about new approaches to problems, make friends and even land a job or next contract. It’s a real-time pulse of the R community. This website is free to use, and is licensed under the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License. So, you’re an R-programmer. What can you gain from becoming active on Twitter? This book will talk about the benefits and it will show you how to use Twitter. First of all, what is Twitter exactly? It’s a … Read more →

# Variability and Consistency in Early Language Learning

## by Michael C. Frank, Mika Braginsky, Daniel Yurovsky, and Virginia A. Marchman

This website is the free online version of a book whose current citation is: Frank, M. C., Braginsky, M., Yurovsky, D., and Marchman, V. A. (in press). Variability and Consistency in Early Language Learning: The Wordbank Project. Cambridge, MA: MIT Press. The emergence of children’s early language is one of the most miraculous parts of human development. The ability to communicate using language arrives with incredible rapidity – most parents judge that their child is producing words with the intent to communicate before his or her first birthday (Schneider, Yurovsky, and Frank 2015) and the … Read more →

# VCRIS User Guide

## by VCRIS logo Virginia Department of Historic Resources

This is documentation for the Virginia Department of Historic Resources’ Virginia Cultural Resources Information System (VCRIS) application. […] VCRIS (Virginia Cultural Resource Information System) provides access to electronic records for historic properties in DHR’s Archives, as well as an online submission system for recording new buildings, structures, landscapes, and archaeological sites. VCRIS includes an interactive web map and detailed information about each site, along with evaluative information about the historic significance of resources. DHR launched VCRIS in 2013 and … Read more →

# Welcome | Outstanding User Interfaces with Shiny

## by David Granjon

View book source This book is still under active development and intended for a 2021 Q2 release in the R Series by Chapman & Hall. Before going further, the reader must: Basic knowledge in HTML and JavaScript is a plus but not mandatory. If you fulfill the above prerequisites, you should read this book if you answer yes to the following questions: This book will help you to: There are various Shiny focused resources introducing basic as well as advanced topics such as modules and Javascript/R interactions, however, handling advanced user interfaces design was never an emphasis. Clients often … Read more →

# What They Forgot to Teach You About R

## by Jennifer Bryan, Jim Hester

The stuff you need to know about R, besides statistical analysis. […] The initial impetus for creating these materials is a two-day hands-on workshop. The target learner: The in-person workshops are still the primary delivery method for this content, but we’ve begun recording prose versions of this content, in order to make it more widely available and for participants to refer back to. Warning: these materials absolutely do not constitute a self-contained “book”, nor do they capture all workshop content. We focus on building holistic and project-oriented workflows that address the most … Read more →

# Yet another ‘R for Data Science’ study guide

## by Bryan Shalloway

Notes and solutions to Garrett Grolemund and Hadley Wickham’s ‘R for Data Science’ […] This book contains my solutions and notes to Garrett Grolemund and Hadley Wickham’s excellent book, R for Data Science (Grolemund and Wickham 2017). R for Data Science (R4DS) is my go-to recommendation for people getting started in R programming, data science, or the “tidyverse”. First and foremost, this book was set-up as a resource and refresher for myself1. If you are looking for a reliable solutions manual to check your answers as you work through R4DS, I would recommend using the solutions created … Read more →