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.

# 现代应用统计

## by 黄湘云

黄湘云 Book in early development. Planned release in 202X. 本书分三大部分，分别是机器学习、贝叶斯建模和空间分析。三个部分分别依据任务类型、模型种类和数据类型展开，不同的写作出发点将呈现不一样的写作风格。应用机器学习首先需要确定任务类型，根据不同的任务选用不同的算法。贝叶斯建模从简单到复杂分频率和贝叶斯方法介绍主流的统计模型。应用空间分析方法需要根据空间数据类型（生成机理）而定，不同的生成机理将对应不同的建模和分析方法。机器学习根据任务类型分聚类、分类、回归和排序四个章节。贝叶斯建模根据模型种类分概率推理框架、线性模型、广义线性模型、分层正态模型、混合效应模型、广义可加模型、高斯过程回归、时间序 … Read more →

# Farm-to-Fork Changes in Poultry Microbiomes and Resistomes in Maputo, Mozambique

## by Natalie Olson, MPH

A book created with bookdown. […] Natalie Olson1, Frederica Lamar1, Hermogenes Mucache2, José Fafetine2, Joaquim Saide2, Amelia Milisse2, Denise Brito2, Karen Levy3, Matthew Freeman1, Maya Nadimpalli1 1Emory University, 2Eduardo Mondlane University, 3University of … Read more →

# Introduction to Regression Methods for Public Health Using R

## by Ramzi W. Nahhas

An introduction to regression methods using R with examples from public health datasets and accessible to students without a background in mathematical statistics. […] This is a DRAFT but is still undergoing final revisions. The goal is publication as a printed version (through CRC Press) with the online version remaining freely available. Status If you have any comments or suggestions, feel free to contact me at ramzi.nahhas@wright.edu. Thank you! This text is suitable as a second biostatistics course for Master of Public Health students or public health professionals. Almost all public … Read more →

# Python Assignment

## by Asser Koskinen

Python Assignment […] R is a programming language and environment for data analytics, machine learning and computer science. This brief guide will get you started. … Read more →

# AladynOulli

## by tigerstatdoc

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] Previously the genie allowed for repeated diagnoses… now the genie wants to think about chornic ... Read more →

# Text Mining for Social Sciences (Summer 2024)

## by Felix Lennert

Felix Lennert Dear student, if you read this script, you are either participating in one of my courses on digital methods for the social sciences, or at least interested in this topic. If you have any questions or remarks regarding this script, hit me up at felix.lennert@ensae.fr. This script will introduce you to two techniques I regard as elementary for any aspiring (computational) social scientist: the collection of digital trace data via either scraping the web or acquiring data from application programming interfaces (APIs) and the analysis of text in an automated fashion (text mining). … Read more →

# Applied Data Visualization

## by Paul C. Bauer

Paul C. Bauer … Read more →

# Introdução ao R

## by eugeniadoria

Bem-vindos ao Curso de Introdução ao R do MQ da FAFICH-UFMG! O curso possui como objetivo apresentar os elementos básicos dos softwares R e RStudio. Durante as aulas, vocês serão introduzidos à linguagem R, aprenderão a realizar operações básicas, criar objetos, importar e exportar dados, manipular dados e criar visualizações impactantes. O curso será ministrado em 5 aulas de 3 horas cada, onde apresentaremos conceitos fundamentais, exemplos práticos e exercícios de fixação para garantir o aprendizado efetivo. Nosso foco será no aprendizado dos princípios básicos do R, com ênfase na … Read more →

# Regression and Analysis of Variance

## by Trevor Hefley

Course notes for Regression and Analysis of Variance (STAT 705) at Kansas State University for Summer 2024 […] This document contains the course notes for Regression and Analysis of Variance at Kansas State University (STAT 705). During the semester we will cover the basics such as regression and ANOVA modeling, parameter estimation, model checking, inference, and prediction. We may also cover modern topics such as regularization, random effects, generalized linear models, machine learning approaches, and Bayesian regression and … Read more →

# Fundamentos de Ecologia Numérica

## by Prof. Elvio S. F. Medeiros, Laboratório de Ecologia, Universidade Estadual da Paraíba, Campus V, João Pessoa, PB

…. The output format for this example is bookdown::gitbook. […] Este é um site experimental da disciplina de graduação de Ecologia Numérica do Curso de Ciências Biológicas da Universidade Estadual da Paraíba. O site experimental da disciplina de Ecologia Numérica da UEPB é uma plataforma criada com o objetivo de apresentar exemplos didáticos aos alunos, explorando diferentes conceitos e técnicas utilizadas na análise de dados em Ecologia. É importante destacar que os exemplos apresentados no site podem conter imprecisões ou códigos demasiado extensos (aparentemente desnecessários para um … Read more →

# UE STADA

## by Jaroslava Kankova

This is an online resource developed to support students attending the UE STADA class at the University of Vienna, Austria. You can use the chapter overview on the left to skip through the content. In this session, we will answer the following questions: R is a programming language used mostly for statistical computing and data visualization. Why are we using R and not other software such as SPSS? In this class we will be working in RStudio. The following picture illustrates the difference between R and RStudio: R as the Engine: RStudio as the dashboard: Just as a car needs both an engine and a … Read more →

# Draft of Jamovi Manual Thai version

## by สมศักดิ์ จันทร์เอม

สมศักดิ์ จันทร์เอม โปรแกรม Jamovi เป็นโปรแกรมวิเคราะห์ทางสถิตสำหรับข้อมูลที่ไม่ใช่อนุกรมเวลา ใช้งานง่าย และไม่เสียค่าใช้จ่าย เหมาะสมอย่างยิ่งที่จะนำมาใช้ทดแทนโปรแกรมสถิติราคาแพง และเกินความจำเป็นสำหรับการเรียนการสอนสถิติระดับมัธยมจนถึงปริญญาตรี ในทัศนะของข้าพเจ้าไม่มีโปรแกรมสถิติฟรีใดที่จะใช้ง่ายได้ง่ายไปกว่าโปรแกรม Jamovi อีกแล้ว ตัวโปรแกรม Jamovi เป็นโปรแกรมสถิติที่ทำงานอยู่เบื้องหลังคือภาษาอาร์ (R) ผู้ใช้งานโปรแกรมนี้ได้ลองใช้ภาษาอาร์เบื้องต้นในโปรแกรม Jamovi ได้ ผู้อ่านควรศึกษาหาความรู้เพิ่มเติมที่จะเรียนรู้การใช้งานภาษาอาร์ต่อไปในกรณีที่ต้องการภาพนิทัศน์ที่สวยงามกว่าเดิม การจัดทำหนังสือเล่มนี้ ผู้เขียนทำขึ้นเพื่อไว้ใช้สำหรับการอบรมโปรแกรมเสรีสำหรับการทำวิจัย (The open source for research) ที่ในอนาคตจะประกอบไปด้วยโปรแกรม … Read more →

# math

## by Joey Yu Hsu

math on bookdown started on 2024/01/28 Joey Yu Hsu, MD “If you are doing research, you may not get a bunch of money but $$.” by Joey Yu Hsu, … Read more →

# gibbonR: An R package for the automated detection and classification of female gibbon calls from long-term acoustic recordings

## by Dena J. Clink

gibbonR: An R package for the automated detection and classification of female gibbon calls from long-term acoustic recordings […] You can install the development version from GitHub … Read more →

# Introductory predictive analytics and machine learning in education and healthcare

## by Anshul Kumar

This textbook accompanies the course HE-930 in the PhD in HPEd program at MGH Institute of Health Professions. This book introduces students to basic predictive analytics and machine learning, with examples and applications related to education and healthcare. […] This textbook accompanies the course HE-930—Statistics/Predictive Analytics for Health Professions Education—in the PhD in HPEd program at MGH Institute of Health Professions. HE-930 is a data analytics course that introduces students to basic predictive analytics (PA) and machine learning (ML), with examples and applications … Read more →

# Distribution Theory

## by Peter K. Dunn

An introduction to mathematical statistics, and the theory of distributions. […] This book is an introduction to the theory of statistical probability and distributions. This book can be read without relying on any specific statistical software, though sometimes R code (R Core Team 2024) is included to demonstrate ideas, and to discuss simulation. The callouts used in this book have meanings; for example: These chunks introduce the objectives for the chapters of the book. These chunks highlight common mistakes or warnings, about a particular concept or about using a formula. These chunks … Read more →

# Prediction and Feature Assessment

## by Nicolas Städler

Script for Analysis of High-Dimensional Data […] Prediction and Feature Assessment This script was written for the course on Analysis of High-Dimensional Data held at the University of Bern and the ETH Zurich. Much of the content is based on the book from Hastie, Tibshirani, and Friedman (2001). The course has a focus on applications using R (R Core Team 2023). All data sets used throughout the script can be downloaded from github. What are high-dimensional data and what is high-dimensional statistics? The Statistics Department of the University of California, Berkeley summarizes it as … Read more →

# STAT 136: Introduction to Regression Analysis

## by Siegfred Roi L. Codia

This is a book developed by Siegfred Codia for Stat 136 class in UP Diliman. […] Linear regression model; model selection; regression diagnostics; use of dummy variables; remedial measures. Prereq: Stat 131, Stat 135. 3h. 3 u. The course is mainly divided into 3 parts: (1) Preliminaries and Introduction, (2) Model Building, and (3) Diagnostic Checking. The following is the complete outline: 2 Problem Sets (30%) You will be tasked to solve a set of problems. The exercises might be a theoretical problem that you need to solve analytically, or a machine problem, wherein you need to answer … Read more →

# An R Companion to Applied Regression

## by Peter Baumgartner

Peter Baumgartner I have finished until chapter 3.3 and additionally, 3.5, 4.1 and 4.2. I am currently working on 3.4 (Transforming Data). WATCH OUT: This is my personal learning material and is therefore neither an accurate replication nor an authoritative textbook. I am writing this book as a text for others to read because that forces me to become explicit and explain all my learning outcomes more carefully. Please keep in mind that this text is not written by an expert but by a learner. Text passages with content I am already familiar I have skipped. Section of the original text where I … Read more →

# Wenxi Fei - About Me

## by wenxifei

My name is 费文晞 (FEI Wenxi), and is pronounced as (surname first): “FAY When-She” in English, just call me “When-She” :) [fei51 wən35 ɕi55] in Mandarin [wav] [fi231 vən223 ɕi44] in Suzhou Wu [wav] Contact: richabufei[at]gmail[dot]com or see contact Born in Suzhou, I am currently a PhD student at the Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University (PolyU). My supervisor is Dr. Yu-Yin Hsu. My research mainly focuses on perception and production of speech prosody. For the perception side, I explore how the suprasegmentals of speech encode humans’ behavioral and … Read more →

# Documentary of Statistics Using R

## by Novia Permatasari

This is personal documentation of R usage in Statistics. […] Welcome to my personal documentation on the usage of R in Statistics. I’ve compiled this bookdown with the hope that it will be useful to anyone in need, whether in theory or practice. Some parts are currently blank but will be filled in as time … Read more →

# R语言在心理学研究中的应用: 从原始数据到可重复的论文手稿(V2)

## by 胡传鹏

课程bookdown […] 第一讲：为什么要学习R 1.1 R在心理科学及社会科学中的运用 1.2 R语言使用的示例展示 1.3 课程安排 1.4 如何学好这门课 第二讲：如何开始使用R 2.1 要解决的数据分析问题简介[介绍我们的数据和拟解决的问题，对比R和传统flow] 2.1 如何安装？ 2.2 如何方便使用？Rstudio的安装与界面介绍 第三章：如何使用本课件/电子书资源 3.1 Git与Github 3.2 项目、文件与代码的规范化 第四章：如何导入数据 4.1 路径与工作目录 4.2 读取数据 4.3 了解R里的数据 （R语言中的对象） 第五章：如何清理数据一 R语言编程基础 5.1 R对象的操控 5.2 逻辑运算 5.3 函数 第六章：如何清理数据二 数据的预处理 6.1 Tidyverse简介 6.2 问卷数据的预处理:基本 6.3 … Read more →

# Cooking After Retirement. 2nd. Edition

## by Bruce Cochrane

Cooking After Retirement. 2nd. Edition […] My adventures in the kitchen date back to my childhood, and I am actually thankful that neither my mother nor my father (Vince and Jean Cochrane) liked to cook, so they eagerly encouraged my childhood desire to explore. As an adult, my family - both my first wife, the late Barbara Leyden, and my second, Alice Kahn, provided encouragement and constructive criticism where necessary. Finally, my two sons, Steven and John Cochrane, are continuing the cooking tradition - Steven as a vegetarian and John as a budding pitmaster. This book is lovingly … Read more →

# Geocomputation with R

## by Robin Lovelace, Jakub Nowosad, Jannes Muenchow

Welcome | 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 →

# R数据分析入门

## by Lingxiao HE

This is a textbook for a quick start on data analysis in R. […] R下载链接：点击任意站点，进入后，选择下载与操作系统匹配的R软件。 RStudio下载链接 练习题链接 打开RStudio，我们通常会看到如上图所示的界面。 界面1为脚本界面，我们将在这里写代码。如果这个界面没有出现，可以点击左上角2按键，选择R Script（快捷键为Ctrl+Shift+n）创建。在脚本界面中，如果我们想要运行特定一行的代码，可以把光标放在该行代码的任意位置，然后按右侧的Run3按键（快捷键为Ctrl+Enter）。如果要运行多行代码，则需要先用鼠标选中所有要运行的代码，然后再按Run按键。 界面4为控制台界面，代码运行的结果或者提示信息将会在这里显示。如果想运行单行指 … Read more →

# 现代统计图形（第二版）

## by 黄湘云

黄湘云 本书是《现代统计图形》(赵鹏, 谢益辉, 和 黄湘云 2021) 的后续第二版，尚处于草创阶段。 书中的代码字体采用美观的 Source Code Pro 字体， 为方便跨操作系统编译书籍电子版，正文的中文字体采用开源的 fandol 字体。 而本书图形中使用的 Noto 系列中英文字体来自 Google Fonts 字体库，分别是 Noto Sans 无衬线英文字体和 Noto Serif SC 宋体中文字体。 图 1 中的左、右子图分别展示 Base R 和 ggplot2 (Wickham 2016) 图形中中英文字体的效果。在图形中调用中文字体分两步走，先使用 sysfonts 包获取并注册 Noto 相关字体，然后在绘图的时候指定字体，并在代码块选项中启用 fig.showtext = TRUE，这样就能在 R Markdown … Read more →

# A Guide on Data Analysis

## by Mike Nguyen

This is a guide on how to conduct data analysis in the field of data science, statistics, or machine learning. […] 1. APA (7th edition): Nguyen, M. (2020). A Guide on Data Analysis. Bookdown. https://bookdown.org/mike/data_analysis/ 2. MLA (8th edition): Nguyen, Mike. A Guide on Data Analysis. Bookdown, 2020. https://bookdown.org/mike/data_analysis/ 3. Chicago (17th edition): Nguyen, Mike. 2020. A Guide on Data Analysis. Bookdown. https://bookdown.org/mike/data_analysis/ 4. Harvard: Nguyen, M. (2020) A Guide on Data Analysis. Bookdown. Available at: https://bookdown.org/mike/data_analysis/ … Read more →

# Análisis Exploratorio de Datos y Visualización

## by Luis Alvarez

En este libro se estudia el análisis exploratorio de datos y su visualización en el contexto de un grado universitario en Ciencias de Datos […] Este libro cubre los contenidos de un curso introductorio sobre análisis exploratorio de datos y visualización en un grado universitario en Ciencias de Datos. El análisis exploratorio de datos es un campo muy amplio, y no es posible impartir, en un solo curso, todos sus aspectos en profundidad. Este curso, de carácter introductorio, tiene como objetivo brindar una base sólida en las herramientas más importantes en este campo, pero cualquiera de los … Read more →

# Hao Sun

## by eugenesun95

An open source technical publishing system for creating beautiful articles, websites, blogs, books, slides, and more. Supports Python, R, Julia, and JavaScript. […] Hi! Welcome to my personal webpage. I am a biostatistician in the department of Global Biometric Sciences at Bristol Myers Squibb. I received my PhD in Statistics at Iowa State University in 2022, and a Bachelors of Statistics from University of Science and Technology of China. My research topics includes survey modeling, small area estimation, clinical trial designs, dynamic borrowing, and graphical … Read more →

# LIBE gm2

## by Marco Garofalo

Marco Garofalo This is a Quarto book. To learn more about Quarto books visit https://quarto.org/docs/books. … Read more →

# R语言在心理学研究中的应用: 从原始数据到可重复的论文手稿(V2)

## by 胡传鹏

课程bookdown […] 第一讲：为什么要学习R 1.1 R在心理科学及社会科学中的运用 1.2 R语言使用的示例展示 1.3 课程安排 1.4 如何学好这门课 第二讲：如何开始使用R 2.1 要解决的数据分析问题简介[介绍我们的数据和拟解决的问题，对比R和传统flow] 2.1 如何安装？ 2.2 如何方便使用？Rstudio的安装与界面介绍 第三章：如何使用本课件/电子书资源 3.1 Git与Github 3.2 项目、文件与代码的规范化 第四章：如何导入数据 4.1 路径与工作目录 4.2 读取数据 4.3 了解R里的数据 （R语言中的对象） 第五章：如何清理数据一 R语言编程基础 5.1 R对象的操控 5.2 逻辑运算 5.3 函数 第六章：如何清理数据二 数据的预处理 6.1 Tidyverse简介 6.2 … Read more →

# The Jay and the Bee

## by José Becerra

A JB book. In this short story the origin of JB’s logo is presented. [...] A (very) short story: In a town where life thrived in harmony, a blue jay and a bee form an unlikely connection. Initially drawn together by curiosity and admiration for each other’s unique abilities, they exchange stories and wisdom. Their tale, a symbol of unity in diversity, echoes through generations in their shared home. Original idea: JB Creative writing assistant: ... Read more →

# ABC en R

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] ... Read more →

# eDNAjoint

## by abigailkeller

This vignette provides examples and use cases of functions in the eDNAjoint package, as well as more details about the model that can be fit with eDNAjoint. The primary purpose of the joint model is to use observations from both environmental DNA (eDNA) surveys and traditional surveys (i.e., seine sampling, trap sampling, etc.) to jointly estimate parameters like expected catch rate, (\mu), at a site and false positive probability of eDNA detection, (p_{10}). The model is intended for use with paired, replicated eDNA qPCR and traditional observations at multiple sites across the … Read more →

# Scarlet-TCC

## by Prof. Elvio S. F. Medeiros, Laboratório de Ecologia, Universidade Estadual da Paraíba, Campus V, João Pessoa, PB

A análise de dados para o TCC de Scarlet. The output format for this example is bookdown::gitbook. […] A análise de dados para o TCC de … Read more →

# Artificial Intelligence and the Ageless Wisdom

## by José Becerra

This is a review of a talk given by Lee Brown at the 2024 Conference of the University of the Seven Rays […] As we explore the intersection of Artificial Intelligence (AI) and Esoteric Wisdom, the author invites us to join him in a thought-provoking dialogue that bridges these two seemingly disparate realms. His goal is to present a nuanced exploration of AI and machine learning, grounded in our studies, understanding, and wisdom. While today’s artificial intelligence (AI) boasts many use cases and intriguing possibilities, his experience with it leaves him with some specific impressions. … Read more →

# Analysing Data using Linear Models

## by Stéphanie M. van den Berg

This is the data analysis textbook used for study programmes at the faculty of BMS at the University of Twente. […] This book is for bachelor students in social, behavioural and management sciences that want to learn how to analyse their data, with the specific aim to answer research questions. The book has a practical take on data analysis: how to do it, how to interpret the results, and how to report the results. All techniques are presented within the framework of linear models: this includes simple and multiple regression models, linear mixed models and generalised linear models. This … Read more →

# _main.knit

## by Facultad de Ciencias Agrarias-Universidad Nacional de Jujuy

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] Autores: Ing. Agrónomo Amadeo Jorge Quiquinto 1, Ing. Agrónoma Marta Celia Leaño 2, Ing. Agrónomo Juan Manuel Solís 3, Ing. Agrónoma Ivone Carolina Humacata 4, Ing. Agrónoma Sofía Carolina Carrasco 5 y Estudiante de Biología María Victoria López 6 jorge.quiquinto@fca.unju.edu.ar↩︎ martaleano@fca.unju.edu.ar↩︎ juanmasolis@fca.unju.edu.ar↩︎ ivonehumacata@fca.unju.edu.ar↩︎ sofiacarrasco@fca.unju.edu.ar↩︎ mariavictorialopez@fca. ... Read more →

# Our Story

## by cbl&qht

This is our loving story. […] 2024.01.02是我们在一起的第一天，2024.05.02是我学会publish的第一天。从今天开始我要记录我们的幸福生活啦！ … Read more →

# Modelling Space and Time with GAMS: spatially and temporally varying coefficient models

## by Lex Comber

This is a workshop introducing GGP-GAMs as a method for undertaking spatially and temporally varying coefficient models […] GAM (General Additive Models) are emerging as the goto approach for all kinds of data science activities. GAMS perform as well or better than most machine learning models and they are relatively fast. They are powerful and quick but critically they offer a middle ground between overly simple but interpretable standard statistical approaches, and efficient but opaque machine leaning algorithms, where it is difficult to understand how one variable relates to an outcome. … Read more →

# Introduction to Computer Programming

## by คณาจารย์ประจำสาขาวิชาการจัดการเทคโนโลยีสารสนเทศ

คณาจารย์ประจำสาขาวิชาการจัดการเทคโนโลยีสารสนเทศ เอกสารประกอบการสอนนี้เรียบเรียงขึ้นเพื่อใช้ประกอบการเรียนในรายวิชา 946-141 การเขียนโปรแกรมคอมพิวเตอร์เบื้องต้น (Introduction to Computer Programming) ประกอบไปด้วยเนื้อหา ได้แก่ หลักการเกี่ยวกับการเขียนโปรแกรม การแก้ไขปัญหาด้วยขั้นตอนวิธี รหัสเทียม ผังงาน องค์ประกอบของภาษาโปรแกรม ชนิดของข้อมูลแบบต่าง ๆ โครงสร้างข้อมูลแบบอาร์เรย์ โครงสร้างโปรแกรมแบบตามลำดับ เลือกทำ และการวนซ้ำ การเรียกซับรูทีน การส่งผ่านค่าพารามิเตอร์ โดยใช้การเขียนโปรแกรมด้วยภาษาจาวาและการเขียนโปรแกรมแบบมีโครงสร้าง ในรายวิชานี้จึงเน้นรูปแบบการเขียนโปรแกรมเชิงกระบวนการ (procedural programming) เป็นสำคัญ โดยไม่ได้มุ่งเน้นการเขียนโปรแกรมเชิงวัตถุ (object-oriented programming: OOP) … Read more →

# Data Science 1

## by Mark Trede

Mark Trede Wirtschaftswissenschaften sind empirische Wissenschaften. Es geht immer um die reale Welt. Damit wir etwas über die reale Welt lernen können, brauchen wir Daten. Im Modul Data Science 1 lernen Sie, wie man mit Daten arbeitet. Die Kenntnisse aus diesem Modul werden für Sie sowohl im Laufe Ihres Studiums als auch darüber hinaus wertvoll sein. Das gilt nicht nur für Tätigkeiten in der Wissenschaft, sondern auch in der Praxis. Natürlich ist Data Science ohne den Einsatz von Computern nicht möglich. Sie werden in diesem Modul lernen, wie man mit Hilfe von Computersoftware die Daten … 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 →

# R 语言数据分析实战

## by 黄湘云

黄湘云 Book in early development. Planned release in 2024. 本书初稿是在 RStudio IDE 内使用 Quarto 编辑的，Quarto 是继R Markdown之后，一个新的开源的科学和技术发布系统，它基于 Pandoc支持输出多种格式的书稿，比如 HTML 网页、EPUB 电子书、DOCX 文档和 PDF 便携式文档等。Quarto 吸收了过去 10 年 R Markdown 取得的经验和教训，在书籍写作、创建博客、制作简历和幻灯片等系列场景中支持更加统一的使用语法，一份源文档输出多种格式，使文档内容在不同场景中的迁移成本更低。了解更多 Quarto 特性，请访问 https://quarto.org/。 书中的代码字体采用美观的 Source Code Pro 字体， 为方便跨操作系统编译书籍电子版，正文的中文字体采用 … Read more →

# 9° Jornadas Integradas

## by Facultad de Ciencias Agrarias-Universidad Nacional de Jujuy

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. ... Read more →

# An Introduction to Interaction Effects in SEMs using ModSEM

## by Kjell S Slupphaug

Kjell S Slupphaug This is a book written using quarto. It is meant as an introduction to estimating latent interactions using the ModSEM package. See https://github.com/Kss2k/modsem The ModSEM package allows you to use a wide variety of methods for estimating latent interactions. The ModSEM package is mainly a package for using different product indicator based approached, but it also allows you to use the latent moderated structural equations approach (LMS) and Quasi Maximum Likelihood (QML) approach. To install ModSEM: Note: The code examples shown here will always be run using the latest … Read more →

# heavy_quarks

## by Marco Garofalo

Marco Garofalo … Read more →

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

## by David Klotz

A book created with bookdown. […] This is a continuation of my ongoing quest to translate all the Roman inscriptions from Esna temple. The previous volumes are now complete, and can be found here:Esna II, Esna III, Esna IV. I will continue to make changes and updates to those, including some desperately needed proof-reading. Esna VI covers the interior walls of the pronaos, except for the interior of the facade, already published in Esna II. Most of the inscriptions are offering scenes, with a few decorative cartouches, longer bandeau texts, and varia. Some of these scenes are the latest to … 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 →

# Scientific Research and Methodology

## by Peter K. Dunn

An introduction to quantitative research in science, engineering and health (including research design, hypothesis testing and confidence intervals in common situations) […] This book introduces 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 main focus, however, is the analysis of data and understanding the underlying concepts. To support this textbook, the following are also available (and freely available online): Almost every dataset used in this book is a real dataset and … Read more →

# AUSTRALIAN CANCER ATLAS 2.0 – Technical report

## by the Australian Cancer Atlas team

This eBook provides further details about the methodology used to develop the Australian Cancer Atlas 2.0 […] The Australian Cancer Atlas 2.0 – Technical Report is designed to provide further details about the methodology used to develop the Australian Cancer Atlas 2.0. This technical report includes information about how the data were obtained for the Atlas, including data sources and ethical and data custodian approvals, how the different statistical measures were defined and the Bayesian statistical models used to calculate them, along with details about the methods used to visualise the … 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 discount code ADC24. This work by Chester Ismay and Albert Y. Kim is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International … Read more →

# 现代统计图形

## by 赵鹏, 谢益辉, 黄湘云

现代统计图形书稿 […] 互联网技术革命对统计学之影响是向人类社会量化解析自然生态和社会生态的深度进军，广义统计是一个深入发展统计思想期待的重心，其中，最为突出的具有龙头发展地位的是广义统计系统数据信息的可视化，它是当今人类社会发展在互联网平台化所有领域中实现认知、社会学习、分析研究、系统应用扁平化的科学手段。面对可视化的“现代统计图形”，可以适应任何人所拥有知识起点之认知学习，激发社会化学习研究之创新，对所有学科知识交叉应用可以升起不落的“发展力太阳”。对此，《现代统计图形》做出了杰出的贡献。 我认识老谢有 19 年了，等这本书的出版就等了 14 年。我在工作、学习中从这本书里获得了很多灵感，我自己写的书里也 … Read more →

# ԱՆԱԼՈԳԱՅԻՆ ԻՆՏԵԳՐԱԼ ՍԽԵՄԱՆԵՐԻ ՆԱԽԱԳԾՈՒՄ։

## by Հեղինակներ՝ Արմեն Համբարյան, Վարդան Անատոմյան։

ԱՆԱԼՈԳԱՅԻՆ ԻՆՏԵԳՐԱԼ ՍԽԵՄԱՆԵՐԻ ՆԱԽԱԳԾՈՒՄ։ […] Մենք ինքներս այս ոլորտում սկսնակ ենք և սովորելու ընթացքում միտք առաջացավ ստեղծել այս գրվածքը որտեղ շատ համառոտ ներկայացված են անալոգային սխեմաների նախագծման հիմունքները։ Աշխատանքը գտնվում է մշակման փուլում։ Կոդերը և աշխատանքում կատարված «Spice» հետազոտության արձյունքները «csv» ձևաչափով տեղադրված են Github հղումում, որոնցից ընթերցողը կարող է օգտվել տարբեր նպատակներով։ Հիմնական գրականությունը որից օգտվել ենք Behzad Razavi֊ի Design of Analog CMOS Integrated Circuits է։ Ինչպես նաև հատուկ շնորհակալություն ենք հայտնում Synopsys Armenia ուսումնական … Read more →

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

## by David Klotz

A book created with bookdown. […] This is a continuation of my ongoing quest to translate all the Roman inscriptions from Esna temple. Elsewhere you may find Esna II, Esna IV, and Esna VI. The goal is to make all of this information easily and freely accessible. A blog would be easy to read and update, but it would be difficult to search and cross reference. A database is certainly slower to navigate, particularly for translations of texts. Esna III is devoted to the columns within the pronaos, all covered with extensive columns of hieroglyphic texts. These largely detail the many festivals … Read more →

# Healing: Making Sound From Within

## by Jose Becerra

A study guide for the Alice A. Bailey book “Esoteric Healing,” fourth volume of the Treatise on the Seven Rays, the first three volumes being Esoteric Psychology I, Esoteric Psychology II, and Esoteric Astrology. The fifth and final volume is The Rays and the Initiations (14 advanced rules for group initiation, expanding on the 14 rules initially given in the book Initiation, Human and Solar). […] “The intertwining of the natural (the explainable) and supernatural, defined as the unexplainable, in the interpretation of suffering and disease has been at the heart of the healing professions … Read more →

# Spiritual Telepathy: the Science of Impression

## by Jose Becerra

The New Science of Telepathic Communication […] “It is essential that servers everywhere — the intelligent men and women of good will — get a grasp, fresh and clear, of the work to be done and that they become”relaying channels and not delaying points of selfish interest” in the divine flow.” -Master D.K. This study guide explores the parallels between modern radio transmission and telepathy, as understood by the current scientific paradigm (the exoteric approach), and as revealed in the Alice A. Bailey book “Telepathy and the Etheric Vehicle” (the esoteric approach). Exoteric: Telepathy is … Read more →

# The Bailey Seven Ray Types

## by Jose Becerra

This book explores the construct validity of the seven psychological types posited by Alice A. Bailey, using the well-established Myers-Briggs typology adapted by David Keirsey as referent stanard. […] The construct validity of the seven psychological types posited by Alice A. Bailey serves as an intriguing subject for exploration, especially when contrasted with the well-established Myers-Briggs typology adapted by David Keirsey. The Four Keirsey Temperaments—Artisan, Rational, Idealist, and Guardian—demonstrate a striking congruence with the Four Derivative Rays of Attributes—Fourth Ray … Read more →

# The Science of the Emotions

## by José Becerra

An exploration of the THE SCIENCE OF THE EMOTIONS by BHAGAVAN DAS, emotional intelligence and AI. […] Bhagavan Das’s “The Science of the Emotions” is a comprehensive examination of the nature and dynamics of human emotions, with a particular focus on the polarities of love and hate. The work explores how these fundamental emotions interplay with the concepts of the Self and the Not-Self, influencing human behavior and relationships. Das dives deep into various manifestations of love and hate, such as affection, reverence, benevolence, dislike, fear, and pride, analyzing their origins and … Read more →

# The Psychocentric Revelation

## by José Becerra

This a book about a soul-centric or “psychocentric” approach to the dawning Neo-Copernican Revolution accompanying the release of atomic energy inaugurating the post-modern world. […] This is summary of an eBook originally written in 1985. It is presented in 3 parts, proposing a psychological key to the dawning Neo-Copernican Revolution accompanying the release of atomic energy inaugurating the post-modern world. The book explores the existence of a transpersonal center of consciousness — the transpersonal soul or Ego — and discusses the need for a psychocentric revelation. A simple, … Read more →

# Four Dimensional Consciousness

## by José Becerra

An exploration of experiencing the fourth dimension of space-time. […] This book is an exploration of experiencing the fourth dimension of space-time. Is the fourth dimension real? How does visualizing 4-D geometries, such as the Tesseract, differ from actually experiencing the fourth dimension? Is the assumption that the brain is the source of consciousness correct? A similar assumption was believed to be true to support the geocentric model because, factually, we observe the Sun orbiting around the Earth. Near-death experiences consistently report a sense of “compressed” time … Read more →

# Spiritual Teachings in the History of Humanity

## by José Becerra

Teachers of Humanity Throughout the Ages […] Progressive Revelation Since Atlantis It would be impractical to enumerate the relatively few truths that guided humanity’s development in ancient Atlantis; nonetheless, it should be noted that these truths form the foundational bedrock of all subsequent teachings. This compilation, adaptation and extension of the material found in Alice A. Bailey book “The Reappearance of the Christ” does not represent a comprehensive analysis or complete statement on the progressive revelation of ideas imparted by great and illumined minds to humanity. These … Read more →

# Contrasting Two Family Models

## by José Becerra

Comparing married dual income with married single income families […] In a Q&A format with AI, this narrative addresses the often undervalued work done within homes when we measure economic activity, such as the … Read more →

# Machine Learning

## by Dr. S. Jackson

These are the course notes for the Machine Learning module of Durham University’s Masters of Data Science course. […] Welcome to the material for the first half of the Machine Learning module MATH42815 of the Masters of Data Science course at Durham University. These pages will update as the course progresses, and consist of relevant lecture notes, practical demonstrations (in R) and practical workshop sessions. I would recommend that you use the html version of these notes (they have been designed for use in this way), however, there is also a pdf version of these notes. If you would like … Read more →

# R Bootcamp

## by Yun Dai

This is the ebook version of the four-week online R Bootcamp. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] Hello! This is the ebook version of the four-week online R Bootcamp for NYU Shanghai - NYU Stern MS programs in business. The website offers more recent updates than the video tutorials, and is designed to help readers find the information more quickly with its embedded links and navigation through the table of contents. The Bootcamp is designed for newcomers to R or programming in general. Our learning objectives for this program ... Read more →

# A More Principled Adventure in Topic Models

## by Sarah Urbut

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] Please Enjoy my book on modified topic models! We call this AladDyn: A dynamic genetically informed and principled way of calculating conditionally updated transitions that inform alternative diseases. Copyright © 2023 Sarah Urbut All rights … Read more →

# Calculation System

## by Lily Clements

This is a small example of using the bookdown package to write a book on the calculation system in R-Instat. The output format for this example is bookdown::gitbook. […] Let’s … Read more →

# Exploratory Data Analysis and Visualization

## by Luis Alvarez

This book studies exploratory data analysis and data visualization in the context of a university degree in Data Sciences. […] This document is an English translation of the book Análisis Exploratorio de Datos y Visualización, it covers the contents of an introductory course on exploratory data analysis and visualization in a university degree in Data Sciences. Exploratory data analysis is a very broad field, and it is not possible to teach all its aspects in depth in a single course. This course, of an introductory nature, aims to provide a solid foundation in the most important tools in … Read more →

# Notes on Statistics with R (SwR)

## by Peter Baumgartner

Peter Baumgartner What maybe is still missing from my learning perspective: A summary and collection of lesson learned including when to use which test and R package. Another plan is to revise the system of my callout boxes, because I have changed the systematic slightly in the middle of this project (approximately starting with chapter 7). But I do not know if I have time to meet this good resolutions, because I am planning to go the next step in my learning path. At the moment I am thinking what would be the next book I want to study intensive like this one. WATCH OUT: This is my personal … Read more →

# Statistics and Probability for Engineering

## by Mohammad Saifuddin

This book introduces the concept of statistics and probability engineering students […] This study manual is specially written for the honors students of engineering discipline like CSE, EEE and … Read more →

# Introduction to Statistics and Data Analysis – A Case-Based Approach

## by Conrad Ziller, University of Duisburg-Essen

A book created with bookdown. […] Suggested citation: Ziller, Conrad (2024). Introduction to Statistics and Data Analysis – A Case-Based Approach. Available online at https://bookdown.org/conradziller/introstatistics To download the R-Scripts and data used in this book, go HERE. This short book is a complete introduction to statistics and data analysis using R and RStudio. It contains hands-on exercises with real data—mostly from social sciences. In addition, this book presents four key ingredients of statistical data analysis (univariate statistics, bivariate statistics, statistical … 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 →

# Spatio-Temporal Statistics - Final Portfolio

## by Robert Sholl

This is a the final portfolio for STAT 764 for Robert Sholl […] The following bookdown document contains the required pieces of the portfolio assignment in Spatio-Temporal Statistics at Kansas State University. The structure of this document will be as follows: Assignment 1 Data Prep Longitude models Latitude models Predictions Assignment 2 Data Prep Models Model Checks Assignment 3 Data Prep Data Exploration Variable Prep Grass Model Fitting Grass Model Checking Grass Graphics Crop Model Fitting Crop Model Checking Crop Graphics Closing Discussion Journal Entries Final … Read more →

# William’s Portfolio

## 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. … 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 →

# Introduction to Statistics

## by Dr. Lauren Perry

Introduction to Statistics. […] There are a lot of ways to approach an introductory statistics class. Historically, the topics found in this text have been taught in a way that emphasizes hand calculations and the use of tables full of numbers. My philosophy is a little different. This class is designed for students who will need to read statistical results and may need to produce basic statistics using a computer. If you go on to be a scientist and need more statistical know how, this course will give you enough background knowledge to take the inevitable next course in statistics. There … Read more →

# Skript Antriebsregelungstechnik

## by Martin Pischtschan

Skript Antriebsregelungstechnik […] Dieses Dokument dient als Grundlage für das Modul “Antriebsregelungstechnik”, welches von der Fachhochschule Nordwestschweiz angeboten wird. Es behandelt die Grundlagen der Elektrischen Antriebstechnik und der Regelung Elektrischer Antriebe. Das Dokument kann hier kostenlos gelesen werden. Ein PDF-Dokument kann via Email (martin.pischtschan@fhnw.ch) angefragt werden. Da das Erstellen dieses Dokumentes sehr viel Aufwand und Kosten in Form des Lebenselixirs Kaffee nach sich zog, wäre ich über eine kleine Kaffeespende sehr dankbar! Dies funktioniert am … Read more →

# Science Research Methods: Tutorials

## by Peter K. Dunn

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

# Gender-in-trade indicators

## by Petra Kynclova

This is a methodological documentation on compilation of UNCTAD Gender-in-Trade indicators. […] This is a methodological guide for compilation of UNCTAD Gender-in-Trade indicators. Following R packages should be installed and … Read more →

# Statystyka 2. Skrypt

## by Błażej Kochański

Statystyka 2. Skrypt […] Ten skrypt został przygotowany na zajęcia Statystyka matematyczna prowadzone przez Błażeja Kochańskiego na Politechnice Gdańskiej. Został o stworzony za pomocą pakietu bookdown będącego częścią środowiska statystycznego … Read more →

# Econometría Espacial

## by victor_morales

Econometría Espacial […] Este documento está en construcción. Tiene por objetivo recoger material necesario para impartir un curso aplicado en econometría espacial. Otros contenidos elaborados por el autor: Machine Learning: Teoría y Práctica Series de Tiempo Métodos de evaluación de … Read more →

# The Infinite Hermetic Mind: Bridging the Above and the Below

## by José Becerra

The Infinite Hermetic Mind: Bridging the Above and the Below […] This book unfolds as a Socratic dialogue with artificial intelligence, engaging in a profound exploration of intuitive intelligence and the intricate landscape of consciousness. Our discourse navigates through the mind’s three axes—will, heart, and intelligence—as we traverse the Bridge of Light (Antahkarana), illuminating our path. Together, we reexamine Plato’s Allegory of the Cave and reflect on the Hermetic Principle of Analogy, contemplating the mirrors between the macrocosm and microcosm. Through the lens of practice of … Read more →

# Neural Nets from Scratch

## by Daniel Polites, Ruibo Hou, Sihao Cheng, Yang-Hsuan Huang

iRisk Labs SP-2024 Project […] This is a write-up of iRisk’s Spring 2024 project: Neural Nets from Scratch The organization … Read more →

# Proposed Psychometrics OER: Authoring Platform Features

## by Catrina Notari, John Kulas

This document is intended to highlight features of the Quarto authoring platform, specifically focused on how this platform is uniquely appropriate for Psychometric instruction. Psychometrics is the scientific study of Psychological measurement - it has been described by some practitioners as “applied statistics” and fundamentally requires knowledgeable application of statistical concepts. This brief overview does not cover all pedagogical features, so we encourage reviewers to “point and click” around this document to discover unique elements. For example, external links and alternative … Read more →

# R paso a paso

## by Guillermo Correa-Londoño

PREFACIO | R paso a paso […] Este texto sobre R ha sido elaborado con dos propósitos. En primera instancia, aportar los elementos necesarios —desde cero— para que el lector pueda iniciarse en este universo, sin que requiera ningún conocimiento previo ni de programación ni de estadística. En segunda instancia, mantener el carácter secuencial de la presentación, lo que implica que los diferentes conceptos se construyen a partir de los elaborados previamente. Para contribuir a la satisfacción del primer objetivo, se evita establecer paralelos con otras aplicaciones estadísticas o lenguajes de … Read more →

# Fundamentals of Collecting and Analyzing Baseball Data

## by thiestand

Fundamentals of Collecting and Analyzing Baseball Data […] This book is an introduction to coding for baseball analytics. It would be most helpful if you have a basic understanding of R. Here are some resources: The first three chapters are about acquiring data. Lahman: the Lahman package contains several data frames about players, teams, pitching, hitting, fielding, and more. The version of the Lahman package used throughout this guide has data from 1871 to 2021. FanGraphs: this chapter is about data collected from the FanGraphs website or through an R package. During the midst of this … Read more →

# Notas para Matemáticas II, UCM Somosaguas

## by Jorge Herrera de la Cruz

Este material ha sido creado para la asignatura de Matemáticas II, UCM, Económicas. […] Este libro está escrito en Markdown. Si encuentras alguna errata o tienes algún comentario, escríbeme a … Read more →

# 2024 Introduction to Cognitive Modeling

## by Chih-Chung Ting

Welcome to the “code session”. In this website, we will use R to explore the concepts of cognitive modeling introduced in the first hour using R. [...] This week, you will learn basic R functions, including calculations (e.g., +, -, x, /), loops, and logical operations, commonly used in transforming equations into programming language. In addition to these functions, you need to understand the meaning of each notation in the equation and where to find the values for each notation. Usually, this information is explicitly described in the paper. Let’s set aside cognitive models for now ... Read more →

# Introducción a los Indicadores Limnológicos y su Análisis Estadístico en R

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] Curso de grado con evaluación para la Licenciatura en Ciencias Biológicas, 27, 28 y 29 de Septiembre de 2023. Docentes: Marcela De Paul y Juan Manuel Solís. Colaboradores: Agustina Zamar y Marcos Juárez. Ayudantes de segunda: Sofía Carolina Carrasco y María Victoria ... Read more →

# Detecting flowering events of pollen-producing plants with high spatial resolution imagery

## by Yiluan Song

Detecting flowering events of pollen-producing plants with high spatial resolution imagery […] Show session … Read more →

# Introduction to Data Science

## by Hansjörg Neth

This book provides a gentle 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 →

# Data Science for Psychologists

## by Hansjörg Neth

This book provides an introduction to data science that is tailored to the needs of students in psychology, but is also suitable for students of the humanities and other biological or social sciences. This audience typically has some knowledge of statistics, but rarely an idea how data is prepared for statistical testing. By using various data types and working with many examples, we teach strategies and tools for reshaping, 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 →

# Conducting Rigorous Research Seminar Workbook

## by Edward Stanhope

This is the seminar handbook for conducting research which outlines the weekly tasks for each seminar […] This module aims to develop student’s knowledge and understanding of scientific randomised controlled trials, including the techniques used to minimise bias by randomising participants, blinding participants, assessors and/or statisticians, selecting an appropriate control arm and other key methodological features. Students will learn how to devise a protocol in accordance with good reporting guidelines and how to use advanced analytical techniques to generate results and aid in the … Read more →

# Advanced Statistics I & II

The official textbook of PSY 207 and 208. […] This is the offical textbook of Psychology 207 and 208: Advanced Statistics I and II. Please don’t try to sell this book because there are about a million copyright violations in it and I’m trying to stay safely ensconced in the warm embrace of fair use. … Read more →

# Financial Data Science

## by Prof. Dr. Ryan Riordan & Teaching Assistants

This bookdown contains the teaching materials for the projectcourse Financial Data Science at the LMU Munich. […] Here you will find the course pages for the projectcourse Financial Data Science. The projectcourse is offered regularly in the winter and summer term and aims at providing in-depth knowledge about the programming language Python and its most important libraries for data analysis. Each summerterm, the course is taught in cooperation with the Institute for Finance & Banking and consists of two parts. Each winterterm, the course extends the introduction of programming language … Read more →

# Épidémiologie et statistiques (B1.5 MSC)

## by Murielle Bochud et Isabella Locatelli

Ce livre rassemble les cours d’épidémiologie et de statistique donnés dans le cadre du baccalauréat universitaire de médecine, B1.5 médecine et santé communautaires. [...] Ce livre rassemble les cours d’épidémiologie et de statistique donnés dans le cadre du baccalauréat universitaire de médecine de l’Université de Lausanne, partie B1.5 Médecine et santé communautaires. Les informations contenues dans ce livre sont les seules susceptibles d’apparaître à l’examen. On pourra trouver des compléments dans le livre Morabia A, Gutzwiller F et Paccaud F. Médecine Sociale et Préventive, Huber, ... 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 →

# R course

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

to programming with R! I hope learning to code will change your life like it did mine :). Since 2012, I teach R courses with great joy, see brry.github.io. This website is here to help you start your coding journey. My main slidedeck (in a single PDF) is avalaible through two openHPI courses. These have autograded exercises and are fairly suitable to learn R on your own. Feel free to book me as a trainer in addition. German, ca 20-50 hours English, ca 30-70 hours There is also material for a course taking a few hours. My old slides are still directly available. A few notes on this website: The … Read more →

# Applied Spatio-temporal Statistics

## by Trevor Hefley

Course notes for Applied Spatio-temporal Statistics (STAT 764) at Kansas State University for the spring 2024 semester […] 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 →

# Methods for Assessing Status and Trends in Pacific Salmon Conservation Units and their Freshwater Habitats

## by Pacific Salmon Foundation

This report is a living document. It will be updated as we add new Regions to the Pacific Salmon Explorer, as updated data become available, as our data sources, methods, and approaches evolve, and as we receive feedback on this report. We will update the version number with each new version of the report. Version 11 was the last version published as a static PDF (available here). To access older versions of the report, please contact info@salmonwatersheds.ca. Thank you to everyone who has supported and been a part of this collaborative effort to gather, synthesize, and improve access to data … 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. The course is part of the MSc in Big Data Analytics from Carlos III University of Madrid. The course is designed to have, roughly, one session per main topic in the syllabus. The schedule is tight due to time constraints, which will inevitably make the treatment of certain methods somehow superficial. Nevertheless, the course will hopefully give you a respectable panoramic view of different available statistical methods for predictive modeling. ... Read more →

# iPhylo Tutorial

## by Chen Peng and Yueer Li

This is a tutorial for the iPhylo website. […] We present the iPhylo suite (https://www.iphylo.net/), a comprehensive, automated, and interactive platform for biological and chemical taxonomic analysis. Please cite iPhlyo if it helps your research: Yueer Li#, Chen Peng#, Fei Chi, Zinuo Huang, Mengyi Yuan, Chao Jiang* (2023). The iPhylo suite: an interactive platform for building and annotating biological and chemical taxonomic … Read more →

# Landscape Genetic Data Analysis with R

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

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

# Berta en la web - Berta Pardina

## by albertobernat

Con una pasión creativa y vibrante doy vida a mis historias con una imaginación apasionada. Encuentro inspiración en la energía de los animales para crear mundos peculiares y … Read more →

# Applied regression analysis

## by Dr. Linda van der Merwe, Fabio M. Correa

Applied regression analysis […] 24-04-2024 The text is under development and updates are constant This text book uses notes written by Dr. Linda van der Merwe, who was responsible for the course in previous years and is currently being … Read more →

# DATA532

## by Alex Edwards and Emily Peterson

Alex Edwards and Emily Peterson Authors: Alex Edwards & Emily Peterson Spring 2024 This Advanced GIS (DATA 532) class is a project-based exploration of advanced topics in GIS and geospatial technology, with a focus on spatial modeling, advanced spatial analysis and geoprocessing, spatial data manipulation, and geocomputation. For information on course expectations, assignments, grading, and schedule, please review the course syllabus listed on Canvas. We will use this e-book for lectures, and in-class activities. All course content will be housed in this book for your reference. Advanced GIS … Read more →

# Guide on Academic Writing

## by Prof. Dr. Ryan Riordan & Teaching Assistants

This bookdown contains the teaching materials for the projectcourse Financial Data Science at the LMU Munich. The files have been set up by Lisa Kaminski. [...] Here you will find supporting material on how to write academically. This guide is a generalized framework for seminar reports, bachelor and master theses. Disclaimer: The following guidelines should not be seen as static set of immutable rules, but rather as a profound and generic guideline. This guide is subject to constant revision and extension! If you come across missing subjects, redundancies or inconsistencies, we are ... Read more →

# Fundamentos para la Minería de Datos y Big Data I,II

## by Jorge Herrera de la Cruz

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] Material docente para la asignatura de Fundamentos de Minería de Datos y Big Data. ... Read more →

# Data Visualization with R Programming

## by สมศักดิ์ จันทร์เอม

สมศักดิ์ จันทร์เอม ภาพนิทัศน์มีความสำคัญอย่างมากในการทำความเข้าใจข้อมูล และเพื่อประสิทธิภาพในการตัดสินใจ เครื่องมือที่ช่วยในการใช้สร้างภาพนิทัศน์ของข้อมูลในปัจจุบัน มีหลายตัว ในหนังสือเล่มจะใช้ภาษาอาร์ในการเขียนโปรแกรมเพื่อสร้างภาพนิทัศน์ และใช้โปรแกรม RStudio เพื่อช่วยการใช้เขียนโปรแกรมภาษาอาร์ให้มีความสะดวกสบายมากยิ่งขึ้นด้วยเครื่องมือช่วยที่หลากหลาย ในหนังสือเล่มไม่ได้สนใจในประเด็นตัวแบบสถิติ (statistics model) เศรษฐมิติ (econometrics) หรือการเรียนรู้ของเครื่องจักร (machine learning) ด้วยภาษาอาร์ แต่ถ้าผู้อ่านได้ศึกษาและทำความเข้าใจในหนังสือเล่มนี้แล้ว ผู้อ่านจะได้เรียนรู้พื้นฐานการเขียนโปรแกรมภาษาอาร์ที่จำเป็นอย่างมีหลักการ เช่นชนิดของโครงสร้างข้อมูลที่สำคัญคือวัตถุแบบเวคเตอร์ (vector) และกรอบข้อมูล (data frame) … Read more →

# edav.info, 2nd edition

## by Joyce Robbins

Supplemental resources for GR5293 and GR5702 […] This is the brand new start of edav.info 2.0! The first version of edav.info is still available, but will no longer be updated. With this resource, we try to give you a curated collection of tools and references that will make it easier to learn how to work with data in R. Detailed Examples will also be used to show proper exploratory data analysis under different circumstances. This resource is specifically tailored to the GR5293 Statistical Graphics and GR5702 Exploratory Data Analysis and Visualization courses offered at Columbia … Read more →

# CCC Sea Kayak Course 2024 Handout

## by Rich Bown, Beth Wensley

A set of notes for the Cambridge Canoe Club Sea Kayak Award Course, 2024 […] Welcome to the CCC beginner’s sea kayak course! The course aims to take beginner sea kayakers to the point where they can: Join intermediate level club trips (see our trip designations here). Plan and undertake their own trips on the sea, with peers, in simple conditions We’ll (loosely) we working with the syllabus of the British Canoeing Sea Kayak Award and we’re hoping that all participants reach a level where we can sign them off for this award. These notes are based around the Sea Kayak Award syllabus and are … Read more →

# Introducción a R para el razonamiento cuantitativo con datos

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

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

# Workshop: Applied Machine Learning - Workshop: Applied Machine Learning (with R)

## by Dr. Paul C. Bauer

Dr. Paul C. Bauer This document serves as slides and script for the workshop Applied Machine Learning taught by Paul C. Bauer (Gesis, Mannheim, Online, 20-23th of February 2024). 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 other licenses may apply. Please note the information in the syllabus as well as the citations and links in the script. For potential future versions of this material see the github repository. If you have feedback or discover errors/dead links please let us … Read more →

# Advanced Statistical Modelling

## by Dr. S. Jackson

These are the course notes for the Machine Learning module of Durham University’s Masters of Data Science course. […] Welcome to the material for the first term of the module Advanced Statistical Modelling MATH3411 at Durham University. These pages will update as the course progresses, consisting of relevant lecture notes, practical demonstrations (in R), exercise sheets and practical sessions. I would recommend that you use the html version of these notes (they have been designed for use in this way), however, there is also a pdf version of these notes, which will also be updated as the … Read more →

# BMS5021 - Introductory Bioinformatics Manual

## by Dr Lochlan Fennell

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] Welcome to the beginning of the bioinformatics component of BMS5021 - Introductory Bioinformatics. Over the past four weeks, you have taken a crash course in the fundamentals of molecular biology. These concepts underpin the analyses we do in bioinformatics. Bioinformatics combines the strengths of computer science, statistics, and biology in order to analyse and interpret large-scale biological data, ultimately ... Read more →

# Advances in Necessary Condition Analysis

## by Jan Dul

Necessary Condition Analysis (NCA) is an emerging research method that is based on necessity logic. If a condition is not present, the outcome will not exist. Other factors cannot compensate for its absence. This is different from common causal reasoning where factors produce the outcome and can be compensated. The book intends to support users, readers and reviewers of NCA to better understand the method. 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 →

# Statistik I

## by Benno Hildebrandt, Steffen Köhler, RUHR-UNIVERSITÄT BOCHUM Fakultät für Wirtschaftswissenschaft Lehrstuhl für Statistik/Ökonometrie

Die digitale Lernplattform zur Statistik I ist Teil des Blended-Learning Konzepts im Modul Statistik I und dient zusätzlich zur Präsenzvorlesung der Wissensvermittlung im Modul. 90-minütige wöchentliche Übungen in Kleingruppen, welche in Präsenz durchgeführt werden, bilden einen zweiten wesentlichen Baustein in der Lehre. Darüber hinaus steht ein breites Angebot an digitalen Übungsaufgaben über Moodle bereit sowie ein umfassender Katalog an Altklausuren. Zu allen Bestandteilen besteht die Möglichkeit, Rückfragen über Moodle oder in den Veranstaltungen zu stellen. Jeder Vorlesungswoche wird … Read more →

# The openair book

## by David C Carslaw, Jack Davison

David C Carslaw Jack Davison This document has been a long time coming. The openair project started with funding from the UK Natural 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. The book is split into broad sections that cover common aspects of air quality data analysis. Data Import Mostly focused on the easy access of UK air quality data across … Read more →

# Introduction to Applied Experimental Design and Statistical Analysis with R

## by Karin Vorwerk, Ph.D.

A book created with bookdown. […] This book provides an introduction to R and also serves as a first course in the study of experimental design and applied statistical analysis. We only assume a basic understanding of statistics, but no prior knowledge of R. The first few sections of this book will guide you through the installation of R and RMarkdown, and introduce you to the syntax of R and RMarkdown, functions, data types, and basic data visualization. We will then review statistical concepts needed and discuss experiment design, data collection, how to import and export data, and data … Read more →

# 柔化刚发——复杂时代下隐秘的保险机会

## by 广予

This is book about insurance history, technology and philosophy […] 这是一本关于保险历史、金融和科技的书。它将通过开源协作的方式不断更新。它将秉承尽早出版，经常出版(Publish Early and Publish Often)的理念，立志于解决两个问题： 这本书受到了查理芒格思维栅格的影响，希望用跨学科方式去给出最基础的模型并在现实世界中反复交叉运用。 目前探讨的主题包括但不限于：心理学（时间偏见、心理会计）、精算概率、认识论（东西方差异）、编程实践（增量开发与星云假说隐喻） 中国哲学（道家、管子轻重学）、人体医学与复杂的层级。 有任何批评指正或想参与贡献，欢迎发邮件至xs286@cornell.edu联系。 … Read more →

# R Development Guide

## by R Contribution Working Group

This guide is a comprehensive resource for contributing to base R for both new and experienced contributors. … 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 →

# STAT 521B: Topics in Multivariate Analysis

## by Alexander Sharp

Course notes. […] This Bookdown notebook comprises the notes for the course “Theory of Functional Data Analysis with Applications” taught during the Winter 2024 semester, term 2, at UBC. They follow closely the textbook (Hsing and Eubank … Read more →

# Responsible applied statistics in R for behavioral and health data

## by Anshul Kumar

This textbook 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 or behavioral data in R. […] Welcome to HE-902 at MGH Institute of Health Professions! Please watch the following welcome video: This video can be viewed externally at https://youtu.be/o_DVZ8GplGY. Please additionally read the following items: This textbook accompanies the course HE-902—Advanced Statistical Modeling for Health Professions Education—in the PhD in HPEd program at MGH Institute of Health … Read more →

# Data Analytics Coding Fundamentals

## by Martin Monkman

The course book for BIDA302 […] Latest update: 2024-04-03 This book is based on the lessons for BIDA302, “Data Analytics Coding Fundamentals”, offered at the University of Victoria’s Continuing Studies Department. From UVic Continuing Studies website This course will explore the fundamentals of coding and scripting for Data Analytics. You will develop the ability to script and code for basic tasks in Data Analytics in common data analytic tools such as R, Python, and Excel. This will allow you to import and export data appropriately and perform fundamental data manipulations and to automate … 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 →

# 6348 Ayette 19 Sistemi

## by Gökmen Altay

Bu kitap, Kuran’ın metninde bulunan ve Kuran’ın bozulmadan ve değişmeden kaldığını gösteren 19 tabanlı kodlama sistemini göstermektedir. 2019 yılında keşfettiğim ve 2023 sonuna kadar yeni keşfettiğim kodlarla geliştirdiğim, Kuran’ın tüm 6348 ve numaralı 6236 ayetleri üzerindeki 19 sistemini sunar. […] Not: Bu kitap, orijinali İngilizce yazılmış olan “Reproducible Miracle” adlı kitabımın Türkçe çevirisidir. Kitabımın linki: bookdown.org/gokmenaltay19/Quran19. Çeviri 2023 sonlarında, Yapay Genel Zeka, teknolojileri kullanılarak otomatik yapıldığından üslubu da biraz yapay olabileceği gibi, … Read more →

# Reproducible Miracle

## by Gökmen Altay

This book demonstrates 19 based coding system available in the Full Text of Quran text, which suggests 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 R programming codes … Read more →

# lefko3: a gentle introduction

## by Richard P. Shefferson

This book covers the ins and outs of developing and analyzing matrix projection models and integral projection models in R using the CRAN-based package lefko3. It covers all aspects of building and analyzing these models, from life history model development all the way to the development of replicated, stochastic, density dependent projection simulations. [...] All content copyright 2022 Richard P. Shefferson This book is dedicated to the people of Ukraine, who are teaching the world every day that all people have the inherent human right to self-determination. Richard P. Shefferson ... Read more →

# MetaNet: Network Analysis for Omics Data

## by Chen Peng

Chen Peng MetaNet is a comprehensive network analysis package, especially in various biological omics. Some functions of MetaNet are dependent with pcutils, so you also need to install pcutils. The stable version can be installed from CRAN: The latest development version can be found in https://github.com/Asa12138/MetaNet: For data manipulation, we recommend to use dplyr. MetaNet is a comprehensive network analysis R package for omics data: Support for integrated analysis for multi-omics data. Calculate correlation network quickly, accelerate lots of analysis by parallel computing. Handle … Read more →

# Introducción a la Automatización Industrial

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

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

# gm2_book

## by MG

MG This is a Quarto book. To learn more about Quarto books visit https://quarto.org/docs/books. … Read more →

# Uvod-u-R-i-R-Studio.knit

## by kakoste

Zagrebačka 30, Pula Petračićeva 4, 10000 Zagreb … Read more →

# Análises de Dados com R

## by Ricardo Lehtonen R. de Souza

Nesse livro trazemos uma introdução à analise de dados com R, começando do básico, com a instalação do R, passando pelos objetos do R, gráficos, estatística e mais algumas aplicações. […] Na pesquisa científica, a análise de dados é uma parte fundamental e o R é uma linguagem que possibilita a fazer as mais diversas análises, não é apenas uma ferramenta estatística. O R é um software livre e uma grande comunidade trabalha aperfeiçoando a ferramenta e todo dia temos novidades, tornando o aprendizado muito dinâmico. Há alguns anos, achei importante estimular o uso do R pelos discentes do … Read more →

# Métrologie - Exploitation des résultats d’essais

## by Teodor TIPLICA

This is a minimal example of using the bookdown package to write a book. set in the _output.yml file. The HTML output format for this example is bookdown::bs4_book, [...] Ce livre s’adresse tout d’abord aux étudiants du cycle ingénieur de Polytech Angers à l’Université d’Angers et se veut un support pédagogique pour le cours de Métrologie. Toutefois, l’ouvrage peut intéresser également ceux qui souhaitent approfondir deux concepts relatifs à l’exploitation des résultats d’essais en métrologie: L’évaluation de l’exactitude d’une méthode de mesure normalisée par le bais des comparaisons ... Read more →

# STAT415 Handouts

## by Kevin Ross

Kevin Ross Handouts containing examples, exercises, and notes covering selected topics from Cal Poly STAT … Read more →

# Statistical Tools for Causal Inference

## by Sylvain Chabé-Ferret

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

# Everyday-R: Practical R for Data Science

## by by Brian Jungmin Park

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] Note: this book is a work in progress. All source code for this project are available on my GitHub, which is linked in 1.4. This book serves as a collection of R Markdown files helps users in learning the practical syntax and usage of R for data science. Mainly, code snippets and workflow aimed at tackling everyday tasks in data science will be covered, which includes data cleaning, data wrangling, iterations, machine ... Read more →

# Inferential Reasoning in Data Analysis

## by Ben Prytherch

Ben Prytherch People who analyze data are usually interested in something other than the data they analyze. A financial analyst might use patterns and anomalies in market data to create an investment strategy for the upcoming year. A physician might reference data from a randomized controlled trial when deciding what drug to prescribe to a patient. A basketball coach might plan player rotations after looking at data collected from their next opponent’s recent matches. Members of a local board of education might look at data from state standardized tests to decide whether to approve a proposed … Read more →

# Notes for Nonparametric Statistics

## by Eduardo García-Portugués

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

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

# STM1001 Topic 4: Sampling Distributions

## by Amanda Shaker

STM1001 Topic 4 […] In this topic we will learn more about the purpose of sampling, along with how we can use samples to infer things about the population from which a sample was taken. For now, the main characteristic of a population we will focus on will be the population mean. However, many of the concepts we will learn about here are applicable to other characteristics as well. We will begin with an overview of the purpose of sampling followed by a discussion of the sample mean. Next, the remarkable Central Limit Theorem will be introduced and discussed. Using this foundation, we will … Read more →

# R Untuk Mahasiswa Sains Veteriner

## by Budina Eka Prasetia

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] Buku ini dibuat bersamaan ketika melakukan pembelajaran Praktikum Mata Kuliah Epidemiologi Analitis 2 Magister Sains Veteriner Universitas gadjah mada. semoga buku/panduan ini dapat membantu dalam menganalisa data epidemiologi. Contoh kode/script R berdasarkan panduan praktikum, dan dari sumber lainnya yang mendukung. Data diambil dari data yang relevan dengan penyakit hewan bersumber dari dinas atau ... Read more →

# Estrutura da comunidade zooplanctônica da Reserva Biólogica Guaribas

## by Prof. Elvio S. F. Medeiros, Laboratório de Ecologia, Universidade Estadual da Paraíba, Campus V, João Pessoa, PB

A análise de dados para o artigo de zooplânton da ReBio Guaribas. The output format for this example is bookdown::gitbook. […] No tocante aos tipos de atributos e seu tratamento pré-análises, uma matriz de dados pode ser dos tipos apresentados na tabela abaixo (Tabela 0.1). Matrizes disponíveis para análises, com suas descrições e tipos de dados recomendados (Tabela 0.2). No interesse de sistematizar o código R das várias matrizes que são comumente usadas em uma AMD, a tabela a seguir (@ref(tab:0tbl-m_2)) resume seus tipos e … Read more →

# STM1001 Topic 5: Hypothesis Testing

## by Amanda Shaker

STM1001 Topic 5 […] Having learnt in the previous topic about the distribution of the sample mean, (\overline{X}), we are now ready to learn how we can use that distribution to help us draw inferences about the population mean (\mu). For example, suppose it was believed that in general, the average cholesterol level was (\mu = 5.0) mmol/L. Further suppose the cholesterol levels of 72 patients were measured, and we wanted to ascertain: Is the average cholesterol level of patients from this population different from 5.0 mmol/L? To answer this question, we can use perhaps the most famous … Read more →

# Applied Stochastic Processes

## by Kevin Ross

Kevin Ross Selected examples and assignments from Cal Poly STAT … Read more →

# Supplementary Materials for Probabilistic Modeling Framework for Genomic Networks Incorporating Sample Heterogeneity

## by Liying Chen^{1,4}, Satwik Acharyya^{1,4}, Chunyu Luo^{2}, Yang Ni^3 and Veerabhadran Baladandayuthapani^{1,5}

This containes all the supplementary materials for the paper named GraphR: a probabilistic modeling framework for genomic networks incorporating sample heterogeneity. […] Network modeling are widely used in biomedical research, aiming to estimate and visualize complicated dependency structures in various fields and at different level. Graphically, networks compromise a set of variables (nodes) and relationships among nodes which are referred as edges. Under the assumption that: (1) edges represent partial correlation between nodes; (2) nodes follow Gaussian distribution, leading to a … Read more →

# Advanced Statistical Modelling III (second term)

## by Department of Mathematical Sciences at Durham University

These are the course notes for the module Advanced Statistical Modelling III of Durham University’s degree for Mathematics and Statistics. … Read more →

# 運輸資料分析角落：初學者園地

## by Chia-Jung (Robert) Yeh 葉家榮 PhD: Insitute of Transport and Logistics Studies, USYD M.S.: Department of Transportation and Logistics Management, NYCU

本書簡介R語言資料分析的基礎，含括基礎語法、dplyr套件與ggplot2套件的使用，深入淺出資料分析的步驟，最後透過交通運輸案例將所介紹的套件與函式應用於實務資料。 […] 本書簡介運輸資料分析之方法，並透過實務應用瞭解運輸資料的特性、分析原理，以及 R 語言各套件與函式的功能。共分為六大章節。前三章節為 R 語言的資料探勘基礎，系統性地介紹資料分析的常用套件與函式，分節說明：R 語言基礎語法、資料清洗與處理、資料視覺化。後三章節以運輸資料為主軸，應用前三章節所介紹的函式分析資料，分節包含：基本資料統計、地理分析、進階應用。全書先系統性地介紹資料分析必學基礎，後藉由零散的個案分析，提供較全面的實際資料操作，期能擴充 … Read more →

# Statistiques descriprives

## by Wilson Toussile

Ce livre présente les principes fondamentaux de la statistique descriptive, en mettant l’accent sur les aspects univariés, bivariés et la description des séries chronologiques [...] Ce livre est conçu pour vous guider à travers les principes fondamentaux de la statistique descriptive, en mettant l’accent sur les aspects univariés, bivariés et les séries chronologiques. Ce livre s’adresse aux étudiants, aux professionnels et à toute personne intéressée par l’analyse des données et la compréhension des concepts de base de la statistique descriptive. Aucune connaissance préalable en ... Read more →

# R para NO principiantes

## by Jorge L. C. Musaja

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] Cuando se desea transitar del modo básico al avanzado en el aprendizaje del lenguaje de programación R, es común toparse con el hecho que existen muy pocas plataformas para el modo intermedio. O incluso, algunos conocimientos que podríamos categorizar como intermedios son tratados como básicos por libros, foros, etc. El contenido de este libro trata de cubrir aquellos tópicos que rondan el nivel intermedio, e incluso el ... 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 bookdown (a particular form of R documentation) provides information on how to use the R package IsoriX. It is a work in progress, but it already contains plenty of material that should help you getting started with IsoriX. … Read more →

# Quantitative Research in Mass Communications

## by AP Leith

This is a working document that will eventually become the official textbook for all of Dr. Alex P. Leith’s MC 451 course at Southern Illinois University Edwardsville. […] Welcome to “Quantitative Research in Mass Communications: R and RStudio,” a comprehensive guide designed to navigate the intricate pathways of quantitative research in the ever-evolving field of mass communications. This textbook is a culmination of my journey in academia and a reflection of my commitment to advancing the understanding of mass communication research methods, particularly through the lens of quantitative … Read more →

# Mastering Statistics with R

## by SHAN-CHI WU (吳善棨)

Introduce the probability, statistics, and related subject. […] This is the website for the book “Mastering Statistics with R” published by SHAN-CHI WU. The entire book is written in R Markdown, using RStudio as my text editor and the bookdown package to turn a collection of markdown documents into a coherent whole. This work is licensed under the Attribution-NonCommercial-NoDerivatives 4.0 International License. I have written this book from very simple to extremely challenging. I think the easiest part would be understood by an elementary student. The most difficult part may require … 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 →

# QCA with 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 four years before, 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 →

# Personal Coaching

## by peter_raidl

Version 0.0.2 Dieses digitale Skript wurde für die Lehrveranstaltung Personal Coaching an der Universität Wien erstellt. Die Inhalte werden laufend vom Autor überarbeitet. Zusätzliches Arbeitsmaterial und Übungen zu jedem Kapitel finden Studierende auf Moodle und sind damit aktuell nicht öffentlich zugänglich. Alle Inhalte bauen auf aktueller Forschung und Lehrmeinung auf. Die Auswahl der Literatur und die dargestellte Coaching Philosophie ist jedoch auch Produkt der Erfahrungen und Meinungen des Autors als Personal Coach und Physiotherapeut auf. Die Lehrveranstaltung soll dem interessierten … Read more →

# Introductory Statistics for Economics

## by Brian Krauth

A textbook for an introductory (first-year or second-year undergraduate) course in statistics for economics majors. […] As its name suggests, Introductory Statistics for Economics is a textbook intended for use in an introductory (first or second year) statistics course for economics majors. It was written for use as a textbook for ECON 233, the introductory statistics course for economics majors at Simon Fraser University. The content is similar to most other introductory statistics courses for business and economics students, but with a few important differences. When I was assigned to … Read more →

# Introduction to Google Earth Engine

## by Brendan Casey

Introduction to Google Earth Engine […] https://courses.spatialthoughts.com/end-to-end-gee.html https://www.earthdatascience.org/tutorials/ https://developers.google.com/earth-engine/guides https://developers.google.com/earth-engine/tutorials/tutorials https://developers.google.com/earth-engine/datasets https://developers.google.com/earth-engine/tutorials https://github.com/samapriya/awesome-gee-community-datasets https://github.com/giswqs/Awesome-GEE Random forest classification time series charts Landsat derived forest disturbance … Read more →

# The Data Preparation Journey

## by Martin Monkman

Before you can analyze your data, you need to ensure that it is clean and tidy. […] Welcome to The Data Preparation Journey: Finding Your Way With R, a book published with CRC Press as part of The Data Science Series. This is a work-in-progress; the most recent update is 2024-02-25. 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 modelling, data visualization, and communication. There is no shortage of material—textbooks, journal articles, blog posts, online … Read more →

# Doing Meta-Analysis in R

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

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

# Curso de Estatística com R Project

## by Emerson Joucoski

Este é um curso de R e estatística para o grupo de pesquisa LabMóvel, versão 2024-1. […] Nesse curso veremos como usar o R para fazer estatísticas. O curso está dividido em capítulos que abordam inicialmente os comandos básicos do R (R Project). Em seguida serão aborados alguns pacotes do R para fazer … Read more →

# pctax: Analyzing Omics Data with R

## by Chen Peng

Chen Peng Omics technologies have found extensive applications in biology, encompassing disciplines such as microbiome studies, transcriptomics, metabolomics, and beyond. These technologies generate diverse datasets based on distinct methodologies. Following specific upstream processing, omics data is often transformed into feature abundance tables, representing entities like genes, metabolites, or taxa. These feature abundance tables, coupled with experimental design metadata and various annotation data, serve as the foundation for downstream bioinformatics analysis and visualization, … Read more →

# An Introduction to Political and Social Data Analysis Using R

## by Thomas M. Holbrook

This book has two purposes: Provide students with a comprehensive, accessible overview of important issues related to political and social data analysis, and, at the same time, provide a gentle introduction to using the R programming environment to address those issues. […] … Read more →

# The Derivatives Academy

## by maxime_debellefroid

This book aims at sharing knowledge about Derivatives. It has been written within a pedagogical approach alongside the development of exotic options pricers. 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 Derivatives community by sharing knowledge and thoughts about different topics in this field. More specifically, it aims at providing students and graduates with semi-practical knowledge through the use of our derivatives pricers developed entirely for … Read more →

# Aventuras… na escola?

## by Rita João

Aventuras… na escola? […] Hoje Kora acordou com a mãe a gritar, pois tinham de sair para a escola. Pelo menos hoje, Kora vai ter um dia normal, com aulas e conversas com os amigos, em vez de ser uma espiã secreta ou a guarda-costas de um qualquer príncipe. Hoje, deveria ser tudo normal. No entanto, o que Kora já devia ter percebido, é que as suas muitas vidas nunca são normais e tranquilas. E a vida na escola não vai ser diferente. Em parte porque a sua mãe já está aflita com as horas… … Read more →

# A Bayesian Introduction to Fish Population Analysis

## by Joseph E. Hightower

This book is intended to be a bridge between traditional fisheries analytical methods and Bayesian statistics. It is a hands-on introduction to models for estimating abundance, survival, growth, recruitment, and population trends. […] This book is based in large part on material I developed while teaching (1991-2014) at NC State University. My hope is that the book will be a bridge between traditional fisheries analytical methods and Bayesian approaches that offer many advantages in ecological modeling. The book might be useful as an upper-level undergraduate or early graduate text, or for … Read more →

# Stat 344TM Notes: Spring 2024

## by Laurie Tupper

Notes and course info for Stat 344TM […] 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 (or start a discussion thread!) if you can’t find something. Happy … Read more →

# Técnicas de Análisis de Datos Económicos con R

Libro de análisis de datos económicos. […] … Read more →

# Intel Powered Foundation Course in Machine Learning

## by intel-unnati

A Course Companion Website. […] Step into a realm of innovation with the Intel Unnati Certificate Programme, an avant-garde initiative meticulously crafted to delve into the intricacies of advanced machine learning. This course is not just an educational endeavor; it’s a gateway to a world where theoretical understanding seamlessly converges with hands-on practical application, providing you with a distinctive edge in an ever-evolving tech landscape. In a rapidly changing technological landscape, the Intel Unnati Certificate Programme is your ticket to mastering the latest advancements in … Read more →

# Econometrics for Business Analytics

## by Jose Fernandez

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] These notes have been compiled from the notes I use in my Introduction to Econometrics, Econometrics II, and Data Anaytics class. In many cases, these notes mirror the powerpoint slides avaiable on blackboard. At times, I will add additional details in the text and provide more examples. This text should not be seen as a replacement for the required textbook. The required textbook provides many more examples and ... Read more →

# Puertas de entrada: lecturas para introducirse a la Filosofía y la Literatura

## by Alberto Bernat

Alberto Bernat En el transcurso de la vida, nos encontramos con momentos que se revelan como verdaderos regalos, ocasiones que nos permiten explorar nuevos horizontes y expandir nuestras mentes. Este libro surge de uno de esos momentos especiales, un regalo que me he concedido para conmemorar mi cuadragésimo tercer aniversario. El curso “Puertas de entrada: lecturas para introducirse a la Filosofía y la Literatura”, (Academia 2024) , dirigido por Pablo Nacach y programado para iniciar el 30 de enero de 2024, se convierte en la musa inspiradora de estas páginas. “Comencé a leer ‘El mundo como … Read more →

# Stat 343 Notes: Spring 2024

## by Laurie Tupper

Notes and course info for Stat 343 […] 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 (or start a discussion thread!) if you can’t find something. Happy … 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 →

# Boas Práticas de Programação com R

## by Isaac Neves Geraldo

O objetivo deste livro é compartilhar ideias, conselhos e sugestões envolvendo boas práticas e condutas de como trabalhar com a ambientação da linguagem R. [...] Gostaria de iniciar este livro com algumas ressalvas. A primeira delas é que não é necessário saber programar em R para entender a mensagem que quero passar. Tentei ser o mais simples possível ao escrever, deixando abrangente para demais ferramentas, linguagens de programação, ou até mesmo hábitos do dia a dia. Um conhecimento muito básico sobre a ferramenta já vai ser o suficiente para você compreender todos os capítulos. A ... Read more →

# Meta-analysis Shiny Application Guideline

## by Sangyoung Jung

Sangyoung Jung This application can help data analysis for the meta analysis and data visualization including forest plots and geographical frequency maps. It offers four key benefits: Data Cleaning and Check: The application not only cleanses datasets, preparing elements such as author names for meta-analysis, but also assists in identifying missing values and outliers during data checks. Meta-analysis Model Fitting: It is capable of conducting meta-analysis and moderator analysis with detailed statistics and diagnostic plots. Data Visualization: The application supports data visualization, … Read more →

# A Minimal Book Example

## by John Doe

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] This is a sample book written in Markdown. You can use anything that Pandoc’s Markdown supports; for example, a math equation \(a^2 + b^2 = c^2\). Each bookdown chapter is an .Rmd file, and each .Rmd file can contain one (and only one) chapter. A chapter must start with a first-level heading: # A good chapter, and can contain one (and only one) first-level heading. Use second-level and higher headings within chapters ... Read more →

# Macroeconomía III 2024-2

## by Jamel Kevin Sandoval

Este bookdown son las notas de clase del curso Macroeconomía III de la Facultad de Economía de la UNAM. […] Jamel Kevin Sandoval: Es maestro en economía por el posgrado de la UNAM, cuenta con diversos cursos de capacitación impartidos por el FMI, el Banco de Francia y el CEMLA, así como una estancia en la CEPAL, Santiago de Chile durante 2016. Ha ganado el premio nacional de Finanzas Públicas y la medalla Alfonso Caso. Profesionalmente ha trabajado como consultor del BID, como Jefe de Departamento en la Secretaría de Finanzas y como economista en Banco de México dentro de la Gerencia de … Read more →

# R语言：从基础到进阶

## by 李喻骏

帮助零基础使用者掌握R语言的核心知识点，有效提高基于R语言的编程能力，形成扎实的R代码能力并运用于解决领域特定的问题中去。 […] 本书是同名课程的自编教材，还在持续更新当中，计划出版，欢迎使用。 本书是面向没有 R 语言编程基础的相关人员开设的，其目标是帮助学习者掌握运用 R 语言解决实际问题的能力。 R 语言作为以统计分析功能见长的一门编程语言，常常会让使用者感到比较吃力。这种吃力的原因，大体上可以分为三种：统计功底不佳， R 编程功底不佳，两者均不佳。三种情况都容易导致在实际运用过程中出现代码看不懂的情况，表现为不知道代码什么意思，不知道为什么代码会出现这样的结果，不知道这样的结果如何解读，等等。 本书希望能够从 R … Read more →

# GEOG5917 Big Data & Consumer Analytics - RStudio Practicals

## by Lex Comber

This contains materials to support the University of Leeds GEOG5917 module, delivered by Lex Comber […] This is an on-line book written to support the practicals for the GEOG5917 Big Data and Consumer Analytics module, delivered by Lex Comber of the School of Geography, from the University of Leeds. A real book was written based on the materials developed for this module: Geographical Data Science and Spatial Data Analysis: An Introduction in R (Comber and Brunsdon 2021 - link here) and the module also draws from An Introduction to Spatial Analysis and Mapping in R (Brunsdon and Comber 2018 … Read more →

# Data Science 2

## by Mark Trede

Mark Trede In den Wirtschaftswissenschaften spielen Zufall und Unsicherheit eine wichtige Rolle. Zum einen, weil die ökonomische Theorie deskriptive und normative Aussagen darüber macht, wie ökonomische Akteur*innen sich unter Unsicherheit verhalten und wie sie sich rational verhalten sollten. Zum anderen, weil ökonomische Modelle mit Hilfe von statistischen Verfahren an die Realität angepasst werden sollen oder ökonomische Theorien anhand von emprischen Beobachtungen überprüft werden sollen. In dem Modul Data Science 2 lernen Sie, wie man mit Zufall und Unsicherheit umgeht. Das Modul lässt … Read more →

# HTTP testing in R

## by Scott Chamberlain, Maëlle Salmon

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

# EGM Shiny Application Guideline

## by Sangyoung Jung

Sangyoung Jung Welcome to the “Guideline for EGM Shiny Application.” This guide is meticulously crafted to support you in three critical areas: Data Verification - Dive deep into your data to identify missing values, spot outliers (such as unrealistic publication years), and rectify mismatches in intervention and outcome codes within DEP and EGM frameworks. Chapter 1, Chapter 2, Chapter 3 Visualization - Transform your dataset into insightful visual narratives, from detailed country maps to dynamic charts that illuminate the nexus between interventions and outcomes. Chapter 4 Advanced … 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 →

# Place-Based Belonging

## by aguha

Document produced in R using bookdown. Please contact Brian Clark with questions or suggestions for improvement – preferred via Teams, otherwise clark13@uoregon.edu. Please use the following when referencing this document: Clark, B. A. M. (2023). Place-Based Belonging 1.0. Office of Assessment and Research, Division of Student Life, University of … Read more →

# Psychometrics in Exercises using R and RStudio

## by Anna Brown

This textbook provides a comprehensive set of exercises for practicing all major Psychometric techniques using R and RStudio. Each exercise includes a worked example illustrating data analysis steps and teaching how to interpret results and make analysis decisions, and self-test questions that readers can attempt to check own understanding. […] This textbook provides a comprehensive set of exercises for practicing all major Psychometric techniques using R and RStudio. The exercises are based on real data from research studies and operational assessments, and provide step-by-step guides that … Read more →

# [EPSY5221] Introduction to R

## by Nana Kim

[EPSY5221] Introduction to R […] 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 →

# 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 series … Read more →

# 2023年度：データサイエンス 第6回

## by 酒井 優行

2023年度：データサイエンス 第6回 […] 教科書は引き続き 椎名・姫野・保科 (2019) と 林賢一 (2020) を利用していきます． … Read more →

# 2023年度データサイエンス 期末レポート

## by 酒井 優行

2023年度データサイエンス 期末レポート […] 2023年度データサイエンス講義の期末レポートの課題内容を本ページに記載します． レポートの提出や取り組むにあたっての注意事項も併せて記載します． 課題の提出はTeamsの期末レポート用の課題上で行ってください． 計算問題で用紙を利用する場合はノートではなくレポート用紙を利用してください． 計算問題・プログラミング課題それぞれ1つのファイルにまとめて提出してください． ※提出するファイルは2つになるはずです． また，ファイル名は「学籍番号_氏名_講義名_期末レポート_レポート内容」としてください． 例：11111_酒井優行_データサイエンス_期末レポート_計算課題 など … Read more →

# Human Factors

## by Prof. Dr. Armin Eichinger

Inhalte zu verschiedenen Teilbereichen des Themas Human Factors HTML output Format: bookdown::gitbook (_output.yml) [...] Auf den folgenden Seiten finden Sie Inhalte zum Thema Human Factors. Das Kapitel Wahrnehmung und Aufmerksamkeit kann im entsprechenden Abschnitt einer Vorlesung zur Allgemeinen Psychologie 1 eingesetzt ... Read more →

# myCMIE 2.0

## by Qi Xu, Jeanne Kowalski

Newsletter | myCMIE 2.0 […] myCMIE, a web application that simplifies Molecular Profiling Reports (MPRs) for cancer treatment decisions. It integrates genomic data, drug options, and clinical trials into a user-friendly platform for efficient treatment insights. myCMIE connects patient data with public datasets, for context-informed treatment and conjecture with therapeutic implication through interactive visualizations and collaborative tools for healthcare stakeholders. The app is deployed on Amazon Web Service (AWS) and is available at: https://kowalski-labapps.dellmed.utexas.edu/CO3inW3/ … Read more →

# Business Analytics: Metoder og anvendelser

## by Udarbejdet af Mads Stenbo Nielsen

Dansksprogede noter, der opsummerer væsentlige dele af pensum i HD Business Intelligence. […] Nærværende notesæt er udarbejdet som et dansksproget supplement til fagets lærebog: Agresti, Franklin og Klingenberg: “Statistics: The Art and Science of Learning from Data,” Pearson, 5. udgave … Read more →

# 高效文献计量工具介绍与部署教程

## by Austin Lee

高效文献计量工具介绍与部署教程 […] 通过现成的爬取+可视化分析+GPT文档解析工具，协助你快速了解一个陌生的研究领域 :] 这是武大费组的一次组会专题材料，希望能对路过的大家有所裨益XD 由于没有留言模块，任何问题欢迎上Urbanplayground公众号后台交流~ 本工具通过模拟用户操作，自动且重复地从Web of Science (WOS)导出文献信息来用于文献计量。用户可以自由设置要导出的文档数量，选择不同的导出文件格式并重命名导出的文件。该工具的原始创建者是CSDN博主：Parzival_， 目前还没有找到他的Github账户。我的主要工作是优化原始代码并使用更新版本的工具和更常用的Google Chrome浏览器来实现操作。请在转载时包含此声明和所有来源链接。 main.py是主文件，必须下载。merge.py用来将导出的不同excel表内容融合到一张表内，按需下载。drive … Read more →

# Data Science 2

## by Mark Trede

Mark Trede In den Wirtschaftswissenschaften spielen Zufall und Unsicherheit eine wichtige Rolle. Zum einen, weil die ökonomische Theorie deskriptive und normative Aussagen darüber macht, wie ökonomische Akteure sich unter Unsicherheit verhalten und wie sie sich rational verhalten sollten. Zum anderen, weil ökonomische Modelle mit Hilfe von statistischen Verfahren an die Realität angepasst werden sollen oder ökonomische Theorien anhand von emprischen Beobachtungen überprüft werden sollen. In dem Modul Data Science 2 lernen Sie, wie man mit Zufall und Unsicherheit umgeht. Das Modul lässt sich … Read more →

# Introduction to R

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

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

# Introduction to Environmental Data Science

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

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

# Environmental Data Science Addenda

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

Addenda to Introduction to Environmental Data Science, including case studies, extending methods into more experimental areas, and guides for building packages and RMarkdown documents (essentials based on experience and methods from various sources). […] The purpose of this bookdown book is to provide Addenda to Introduction to Environmental Data Science, at https://bookdown.org/igisc/EnvDataSci/ to include case studies, extended and experimental methods, and guides for building packages and RMarkdown documents. It’ll serve as a sandbox for exploring methods, some of which will make it into … Read more →

# Toolbox Computational Social Science

## by Felix Lennert

Felix Lennert Dear student, if you read this script, you are either participating in one of my courses on digital methods for the social sciences, or at least interested in this topic. If you have any questions or remarks regarding this script, hit me up at felix.lennert@ensae.fr. This script will introduce you to two techniques I regard as elementary for any aspiring (computational) social scientist: the collection of digital trace data via either scraping the web or acquiring data from application programming interfaces (APIs) and the analysis of text in an automated fashion (text mining). … Read more →

# Skript zum MAS Modul Servotechnik

## by Martin Pischtschan

Skript Servotechnik […] Dieses Dokument dient als Grundlage für das MAS-Modul “Antriebstechnik,” welches von der Fachhochschule Nordwestschweiz angeboten wird. Es behandelt die Grundlagen der aktuellen Servotechnik. Das Dokument kann hier kostenlos gelesen werden. Ein PDF-Dokument kann via Email (martin.pischtschan@fhnw.ch) angefragt werden. Da das Erstellen dieses Dokumentes sehr viel Aufwand und Kosten in Form des Lebenselixirs Kaffee nach sich zog, wäre ich über eine kleine Kaffeespende sehr dankbar! Dies funktioniert am einfachsten mit einem Klick auf den folgenden Button, welcher Sie … Read more →

# Introduction to Inferential Statistics

## by Dr. Marc Trussler

Class notes for PSCI-1801 […] Current as of 2024-01-05 Lecture: MW 12-1:30pm (MCNB 309) Dr. Marc Trussler trussler@sas.upenn.edu Fox-Fels Hall 32 (3814 Walnut Street) Office Hours: M 9-11am TA: Dylan Radley dradley@sas.upenn.edu Fox-Fels Hall 35 (3814 Walnut Street) Office Hours: Tuesday 11-12 Tuesday 3-4 Thursday 12-1 The first step of many data science sequences is to learn a great deal about how to work with individual data sets: cleaning, tidying, merging, describing and visualizing data. These are crucial skills in data analytics, but describing a data set is not our ultimate goal. The … Read more →

# Innovation Handbook

## by Lucas Nelson

This is an informal collection of resources dedicated to summarizing, discussing, and advancing innovation in Audit Analytics. [...] It would be an understatement to say there is plenty of buzz surrounding the Audit Analytics practice: adopting Databricks has introduced compute resources that were previously unattainable; the recent class of new hires display a highly technical skill set and equally passionate “innovation-set”; our Data Science neighbors’ work using large language models opens up a whole new realm of revolutionizing audit procedures. With this buzz comes a lot of great ... Read more →

# Insights and Analyses: A Course Companion

## by Tyler R. Pritchard

Tyler R. Pritchard Report errors, recommendations, or concerns to trpritchard@grenfell.mun.ca. Latest Updates: Jan 2024 Dec 2023 From the university calendar: PSYC 3950 Research Methods and Data Analysis in Psychology III will cover advanced research methods, including survey methods, and supporting statistical concepts and techniques. Designs will include single factor designs and multi-factor designs with both random and fixed factors. Supporting statistical concepts will include analysis of variance (ANOVA) from a linear model perspective, statistical power, and multiple regression, … Read more →

# Bayes meets the Lifetime

## by Sarah Urbut

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] This is a book written in Markdown. Please contact Sarah Urbut for questions. I’m really excited about these latent dirichlet allocation models, specifically for their flexibility in modeling time dependent changes in comorbidity profiles. However, I think much remains to be discovered. In the following pages, I hope you’ll enjoy: First, we discuss the general framework for topic models, and introduce typical notations ... 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 →

# Introdução à Estatística

## by Joaquim Gomes

Um website dedicado ao ensino de estatística. […] Pode ser mudado depois: bookdown::render_book(“index.Rmd”) 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:{r eval=FALSE} install.packages(“bookdown”) # or the development version # devtools::install_github(“rstudio/bookdown”) 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 … 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 →

# Statistical Methods for Environmental Mixtures

## by Andrea Bellavia

Humans are simultaneously exposed to a large number of environmental hazards. To allow a more accurate identification of the risks associated with environmental exposures and developing more targeted public health interventions, it is crucial that population-based studies account for the complexity of such exposures as environmental mixtures. This poses several analytic challenges and often requires the use of extensions of standard regression approaches or more flexible techinques for high-dimensional data. This document presents an extended version of the class material that was used in an introductory two-weeks course on statistical approaches for environmental mixtures. The main challanges and limitations of standard regression techniques are outlined, and recent methodological developments are introduced in a rigorous yet non-theoretical way. The course was designed for students and postdocs in environmental health with basic preliminary knoweldge on linear and logistic regression models. Sources and code examples to conduct a thorough analysis in R are also included. Read more →

# Personal Notes: Statistical Rethinking (2nd ed)

## by Peter Baumgartner

Peter Baumgartner This is work in progress: At the moment I am working on the practice section of chapter 4, e.g., I have finished (\approx 20%) of the book content. This book collects personal notes during reading of Statistical Rethinking by Richard McElreath. I am using the second edition published 2020 by CRC Press an imprint of Routledge of the Taylor & Francis Group. Additionally I am using Statistical Rethinking 2023, the most recent set of free YouTube video lectures. You can find links to other material on McElreath’s website about the book. Of special interest for me are the … Read more →

# Exploration de données avec R

## by ael

Pour obtenir la dernière version de ce livre, visitez le site: Ce document est une introduction à l’utilisation du logiciel libre de traitement de données et d’analyse statistique R. Il vise à introduire uniquement les notions de base nécessaire à connaitre pour quelqu’un qui découvre ce langage de programmation pour la première fois. Ce document est inspiré de plusieurs sources, parmi lesquels nous citons les références suivantes En anglais : En français : … Read more →

# Series de Tiempo

## by victor_morales

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

# Data Science

## by Tiffany Timbers, Trevor Campbell, and Melissa Lee

This is a textbook for teaching a first introduction to data science. […] Data Science This is the website for Data Science: A First Introduction. You can read the web version of the book on this site. Click a section in the table of contents on the left side of the page to navigate to it. If you are on a mobile device, you may need to open the table of contents first by clicking the menu button on the top left of the page. You can purchase a PDF or print copy of the book on the CRC Press website or on Amazon. For the python version of the textbook, visit https://python.datasciencebook.ca. This … Read more →

# ECOM20001 Tutorial Questions and Suggested Solutions

## by Richard Hayes

This is an example of using the bookdown package to write a collate all the tutorial questions and answers in semester 2, 2023 in a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] This is a sample book written in Markdown that covers the questions and suggested solutions to tutorials posted in semester 2, 2023. Each bookdown chapter contains the questions and suggested solutions for each tutorial. One of the reasons for putting this book together was to assist in your exam revision. Most of the solutions are hidden so you should ... Read more →

# Interactive Teaching Techniques

## by Teaching & Learning Centre

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

# Łagodne wprowadzenie do statystyki

## by rudolf_von_ems

(c) Tomasz Przechlewski / CC-BY license […] Wyraz statystyka ma wiele znaczeń: statystyki zgonów albo statystyki alkoholizmu czyli dane dotyczące zgonów lub alkoholizmu. Statystyka to też dziedzina wiedzy, upraszczając zbiór metod, które służą do tworzenia statystyk w pierwszym znaczeniu tego słowa. Wreszcie statystyka to pojedyncza metoda ze zbioru metod opracowanych w dziedzinie, np. średnia to statystyka. Trochę to niefortunne, ale świat nie jest doskonały jak wiemy… Statystyka (obiegowo): dział matematyki, a w związku z tym wiedza absolutnie pewna i obiektywna. Nieprawda choćby z tego … Read more →

# 2023年度：データサイエンス 第5回

## by 酒井 優行

2023年度：データサイエンス 第5回 […] 教科書は引き続き 椎名・姫野・保科 (2019) と 林賢一 (2020) を利用していきます． … Read more →

# 2023年度:データサイエンス 課題

## by 酒井 優行

2023年度:データサイエンス 課題 […] 講義概要に記載の通り，成績評価にあたり各回の課題の点数が成績に考慮されます． 課題の提出については以下に従ってください． 必ず が明確にわかるように記載してください．いずれかに不備があった場合は減点対象とします． 提出期限は翌講義日の開始までとします． Teams上で提出とします．プログラミング課題については，RStudioのnotebookファイル，計算問題については画像形式（JPGやPDFなど）で添付してください． … Read more →

# r4ds-ggplot2

## by ggiaever

r4ds-ggplot2 […] This website us the ggplot visulization sections of Hadley Wickham’s book 2nd edition of “R for Data Science”. … Read more →

# Evaluating What Works

## by Dorothy V M Bishop and Paul A Thompson

Introduction to methods for evaluating effectiveness of non-medical interventions […] Those who work in allied health professions and education aim to make people’s lives better. Often, however, it is hard to know how effective we have been: would change have occurred if we hadn’t intervened? Is it possible we are doing more harm than good? To answer these questions and develop a body of knowledge about what works, we need to evaluate interventions. As we shall see, demonstrating that an intervention has an impact is much harder than it appears at first sight. There are all kinds of issues … Read more →

# Understanding Digital Information Flow via Computational Methods

## by Valerie Hase, LMU Munich

B.A. Seminar at LMU Munich, Fall 2023/2024 […] This online tutorial will accompany the seminar “Understanding Digital Information Flow via Computational Methods”. It is part of the undergraduate course “Communication Studies” (LMU, Department of Media and Communication) and takes place Friday 10 am to 2pm in the CIP pool, Akademiestr. 7. You will find all necessary information on the seminar’s structure, important dates and assessments/evaluations via Moodle. Please carefully consider the syllabus when deciding whether to participate in this seminar. This tutorial will introduce you to two … Read more →

# Survey data in Economics and Finance

## by Guillaume Osier

This is the full book written in preparation for my course on “Survey data in the field of Economics and Finance” given at the University of Luxembourg in 2023-2024 (Master 2 ‘Economy and Finance’). […] Counting populations through exhaustive censuses has been a practice that has been established for millennia, dating back to the era of ancient civilizations such as the Babylonians, Egyptians and Romans. These populations conducted censuses for supporting a range of economic decisions, including taxation, scaling the labor force, food distribution and industrial investment. Censuses are … Read more →

# MCM4TM

## by Morley J Weston

TK […] This is the class workbook for Multilingual Computational Methods for Text-based Media. Chapters will be added as the class … Read more →

# Trabajo Final

## by Grupo-Pilco-Cusi

Grupo-Pilco-Cusi Curso: Programacion en Lenguaje Estadistico Carrera: Estadistica Integrantes del grupo: Jordan Pilco Valvas Diego Cusi … Read more →

# Trabajo Final

## by Wilder Espinoza & Julio Arapa

Wilder Espinoza & Julio Arapa Trabajo final del curso Programación en Lenguaje Estadístico 2023-II Espinoza Luna, Wilder Gilmer 22140060 Arapa Lazo, Julio César … Read more →

# APUNTES R - PLE MELANY MONTERO

## by Melany Montero

Melany Montero Una variable es un nombre que hace referencia a un valor, específicamente es el nombre de una ubicación de memoria reservada que contiene algún valor. Por ejemplo: x <- 10. Aquí, ‘x’ es el nombre de la variable, la flacha (<-) es un operador de asignación y 10 es el valor o literal. Entonces, al usar un operador de asignación (=) en R, podemos reservar memoria para el valor sin declararlo explícitamente. Para nombres de variables de varias palabras, se usan guiones bajos entre palabras (nombre_variable), pero algunos usan “camelCase” (a veces llamado “studlyCaps”) como … Read more →

# Trabajo Final Programación en Lenguaje Estadístico

## by Hidalgo Dante y Huaman Celeste

Hidalgo Dante y Huaman Celeste Guevara Ponce, Victor Huaman Mejia, Franseska Celeste 22140234 Hidalgo Huachaca, Dante Sebastian … Read more →

# Unlocking the power of data visualization with R - Unlocking the Power of Data Visualization with R

## by fede_gazzelloni

A full list of Data Visualizations with code made with the R programming language. Welcome to Unlocking the Power of Data Visualization with R, where I proudly showcase my contributions to the #R4DS community through the #TidyTuesday, #30DayChartChallenge, and #30DayMapChallenge competitions, for 2021, 2022, and 2023. This platform is your gateway to data exploration, featuring a diverse collection of data visualizations created using the R programming language. Take a deep dive into the digital gallery, click on the image to discover insights, find inspiration, and learn from detailed … Read more →

# Data Analysis with R

## by Joseph Fox

Data Analysis with R […] R is an open-source programming language that is popular among statisticians and data scientists. We’ll be using the software RStudio to write and run R code. There are two ways to access RStudio for free. You can choose either of the following options. Download R and RStudio to your own computer. Visit https://posit.co/download/rstudio-desktop/ and click the buttons to start the two required installations. Access Posit Cloud (formerly RStudio Cloud) online. Visit https://posit.cloud/ and click “Get Started,” then choose the free plan on the next page. You’ll be … Read more →

# Neukölln-Komplex - Rechercheübersicht

Neukölln-Komplex - Rechercheübersicht […] Diese Webseite sammelt Informationen rund um den Neukölln-Komplex (NKK). Als NKK wird eine rechte Gewaltserie in Berlin-Neukölln bezeichnet. Dazu zählen seit 2009 mindestens 200 Straftaten, darunter dutzende Brandstiftungen und mindestens zwei Morde auf offener Straße. Trotz einem bekannten Täterkreis hat es bis heute keine umfassende gerichtliche Aufarbeitung des Komplex gegeben. Viele Betroffene sehen Fehler bei den Sicherheitsbehörden. Manche argumentieren, dass ein rechtes Netzwerk mit Verbindungen in Polizei und Justiz die Auflärung sogar aktiv … Read more →

# Exploratory Factor Analysis in R

This online course describe how to extract and use open source data for factor analysis in R. […] Course Overview Hi All, Welcome to the Online Course on “Exploratory Factor Analysis in R”. This is an online course designed to deepen your understanding of how to conduct factor analysis in R. The target audience are graduate students, researchers, and anyone interested in learning how to use open-source data for factor analysis. Factor analysis is a data reduction method used to explore and validate the structure of observed variables in multivariate data. Please read the course syllabus … Read more →

# Trabajo final - PLE

## by Porlles Castillo Sharif Snyder

Porlles Castillo Sharif Snyder … Read more →

# Stat 340 Notes: Fall 2023

## by Laurie Tupper

Notes and course info for Stat 340 […] 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 (or start a discussion thread!) if you can’t find something. Happy … Read more →

# Stat 140 Notes: Fall 2023

## by Laurie Tupper

Notes and docs for Stat 140 […] These notes are divided into different 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 (or start a discussion thread!) if you can’t find something. Happy … Read more →

# CPU设计实战：LoongArch版

## by 汪文祥 邢金璋 等著

CPU设计实战：LoongArch版 […] CPU，中文全称为中央处理单元，简称处理器，是现代电子计算机的核心器件。如果你想了解一台计算机是如何构建并工作起来的，那么深入了解CPU的设计非常有用。不过，这个美好的愿望是否会遭遇骨感的现实呢？毕竟一谈及CPU，大家马上会想到的是英特尔（Intel）、超微半导体（AMD）、苹果（Apple）、安谋（ARM）、高通（Qualcomm）这些国际知名公司生产的产品，进而认为CPU设计是一件遥不可及的事情，普通学习者要想掌握它简直就是天方夜谭。 那么CPU设计到底难不难呢？实话实说，要做出具有世界一流水平的产品确实不容易。别看CPU个头不大，它却是一个复杂度极高的系统。设计CPU挑战的 … Read more →

# Speaking: The free book (chapter)

## by Vitória Piai

Speaking, the free book chapter, was conceived by V. Piai […] This book chapter emerged from my frustration with finding appropriate introductory materials on the (neuro)psychology of language production. Existing resources are not accessible, in my opinion. Peer-reviewed articles are not introductory enough, which makes them hard to use for teaching at the Bachelor’s level or for initiating students on the topic more generally. Books, including handbooks, besides being very expensive, are too big; instead of getting an introduction to the topic, you get an entire book on the topic, so you … Read more →

# Computational Social Science Notes

## by Saurabh Khanna

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] This book is a repository of my notes in computational social science from reading Salganik’s Bit By Bit, as well as open access curricula released by the SICSS ... Read more →

# ST429 - Statistical Methods for Risk Management

## by Xiaolin Zhu

This involves a series of coding sessions for ST429. […] Coding sessions for ST429 are included … Read more →

# Informe Final

## by Chuqui & Perez

Chuqui & Perez Integrantes del grupo Chuqui Diaz Gianpier Perez Perez … Read more →

# Reviewing Scientific Literature Seminar Workbook

## by Edward Stanhope

This is the seminar handbook for reviewing scientific literature that outlines the weekly tasks for each seminar […] This module aims to develop your knowledge and understanding of reviewing academic literature, including the searching for and identification of relevant articles from academic databases, navigating and extracting relevant information from journal articles, and formulating an academic discussion which syntheses the information gained from this process. These skills will prepare you for written assessments across your degree program and for life beyond university. The learning … Read more →

# Xu’s Introduction to Option Trading

## by Guangyu

Use a week time to master the basic concept of option trading […] This book aims to solve one problem on how to use one week to master the core concept of option trading. It lays emphasis on graphs and figures to help you understand the core concept. Hope you can implement simple strategy in real world and gain the ability to read more advanced classic books such as: If you have any critics or feedback, please send email to … Read more →

# Курс 'Разработка пакетов на языке R'

## by Алексей Селезнёв

Бесплатный видео курс по разработке собственных пакетов на языке R. […] Мое знакомство с языком R началось в 2016 году, когда я решил использовать его для сбора данных через API из различных рекламных платформ. Для некоторых из них уже существовали готовые решения в виде пакетов, но для менее известных площадок пришлось создавать собственные инструменты. Тогда я столкнулся с ограниченностью существующих ресурсов и решил самостоятельно разобраться в создании R-пакетов. На тот момент подробных руководств было мало, и я приходил к пониманию процесса методом проб и ошибок. Используя базовые … Read more →

# Modele rynku kapitałowego

## by Błażej Kochański

Skrypt przedmiotu Modele rynku kapitałowego 2022 […] Zaczątek skryptu dla przedmiotu Modele rynku kapitałowego. Skrypt będzie w najbliższym czasie podlegał ciągłym zmianom… Model - uproszczenie rzeczywistości, często w formie matematycznej. Rynek kapitałowy (https://pl.wikipedia.org/wiki/Rynek_kapita%C5%82owy) - kupno i sprzedaż akcji i obligacji, głównie poprzez giełdy. (\mathcal{R}_t) – stopa zwrotu brutto w okresie rozpoczynającym się w momencie (t-1), a kończącym w momencie (t) (w skrócie: w okresie (t)) (R_t) – prosta jednookresowa stopa zwrotu netto w okresie (t) (R_i) – … Read more →

# Systematic Reviewing Scientific Literature Seminar Workbook

## by Edward Stanhope

This is the seminar handbook for systematic reviewing scientific literature that outlines the weekly tasks for each seminar […] This module aims to develop student’s knowledge and understanding of the systematic reviewing of academic literature. This includes developing an appropriate search string, screening process, study eligibility criteria, data extraction form/table, quality appraisal tool and other methodological features associated with the systematic reviewing process. This process minimises potential reviewer biases and increases the methodological rigor. Using these skills … Read more →

# 2023年度：データサイエンス 第4回

## by 酒井 優行

2023年度：データサイエンス 第4回 […] … Read more →

# Aprendiendo R studio.

## by Andersson Vargas Magallanes

Andersson Vargas Magallanes ¡Zona en … Read more →

# Trabajo de Progra. lenguaje estad.

## by Sharif Porlles

Sharif Porlles Trabajo de … Read more →

# r4ds:ggplot2

## by Hadley Wickham

Hadley Wickham This website us the ggplot visulization sections of Hadley Wickham’s book 2nd edition of “R for Data Science”. … Read more →

# STM1001 Topic 9: Hypothesis Testing for One and Two Sample Proportions

## by Amanda Shaker

STM1001 Topic 9 […] In this topic, rather than testing for differences in means as we did via (t)-tests and ANOVA, we will be considering hypothesis tests for proportions. The types of questions that can be addressed with these types of tests include: is the proportion of left-handed people different from 10%? Or, has a particular intervention led to a significant difference in the proportion of premature births? Or, is the proportion of extroverts different from 50%? As usual, we do not need to calculate the true population proportions to answer these questions. Rather, we can use sample … Read more →

# Become a disease detective: Solve an outbreak

## by R-Ladies Melbourne

This is a step-by-step guide for the presentation by R-Ladies Melbourne for “It takes a spark” on 17-Nov-23, [...] Caitlin, Dionne, and Lauren are from R Ladies Melbourne, and we are here because we want to teach you how to program in R! R-Ladies is a world-wide organisation whose mission is to promote gender diversity in the R community. See the R-Ladies global website or R-Ladies Melbourne for more information! Coding is writing instructions that a machine or computer can understand to perform a task. R is a programming language and free software environment for statistical ... Read more →

# Fantastic Genes and Where to Find Them

## by Maria Gallegos, Cal State University East Bay

Fantastic Genes and Where to Find Them […] First, I would like to acknowledge the Genome Education Partnership (GEP) for inspiration. They created a resource for learning about Eukaryotic gene structure using the UCSC Genome Browser (Laakso et al. 2017). Their focus is on the Drosophila genome. My focus is on humans. This manual has been written for a undergraduate course entitled Principle of Genetic analysis (BIOL 310) at Cal State University, East Bay but can be used by anyone wanting to learn more about gene structure and function. My hope is that skills learned within these pages and … Read more →

# Crédibilité: théorie et applications avec R

## by Jean-Philippe Boucher

Notes de cours du ACT5400-Crédibilité, du baccalauréat en actuariat, UQAM. […] Ce site contient les notes de cours pour le ACT5400 - Crédibilité, un cours obligatoire du baccalauréat en actuariat de l’UQAM. L’objectif de ces notes est de présenter la théorie de la crédibilité tout en utilisant le logiciel R pour mieux comprendre la théorie et pour des applications pratiques. Ces notes de cours ont été écrites en RMarkdown, plus particulièrement en RBookdown. Les notes de cours de la théorie de la crédibilité, développées depuis 2007, étaient précédemment écrites en TeX. La conversion des … Read more →

# STA 265 Notes (Methods of Statistics and Data Science)

## by Christopher Mecklin

This are notes for STA 265 at Murray State University for students in Dr. Christopher Mecklin’s class. […] This chapter includes both material from the textbook and material that I have added to aid you in using R and R Studio for statistical and data science tasks. To both illustrate the 4-Step Process of statistical modeling and to review the two-sample (t)-test, I will illustrate testing to see if there was a statistically significant differnce between two different sections of a class on their final exam, where one section took a final on Monday morning and the other one on Friday … 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 →

# R Programming for Psychometrics

## by Susu Zhang

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] This ebook serves as a companion to the PSYC490 lab sessions. Chapters will be added and updated throughout the semester. Contributors: This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International … Read more →

# 제조 전문가의 AI 솔루션 설계 : 5일 완성

## by 이창선

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] 디지털 기술의 투자 비중은 클라우드에 집중되어 있으며, AI 투자는 매우 저조한 상태이다. 클라우드는 47.3%이지만, AI는 1.7%이다. 제조 분야에서 인공지능 디지털 활용율은 1.6%이며, 금융 11.1%, 통신 17.1%에 비해서 매우 낮은 편이다.(’21, NIS) 제조 AI 솔루션의 확산을 위해서는 본질을 이해할 필요가 있다. 제조AI ... Read more →

# Recopilación de Ejercicios de Farmacocinética

## by Edsaúl Emilio Pérez Guerrero

Este pequeño compendio recopila ejercicios de farmacocinética para la materia de Biofarmacia y Farmacocinética. Algunos ejercicios no son de mi autoría, sin embargo, se le da crédito a cada uno de los … Read more →

# Introducción al Análisis de Datos

## by Grupo 7

Grupo 7 Atencio Alejo, Alexander Gutierrez Huaman, Jesus Hernesto Huerta Tiburcio, Kennedy Brayan Perez Perez, Carla Estefani Xiomara Villa Yataco, Krisstell Si sientes una fascinación por el mundo del análisis de datos y tienes un deseo genuino de adentrarte en los universos de la exploración y preparación de datos del lenguaje R y Rstudio, has llegado al lugar indicado. En este espacio, te sumergirás en un mar de conocimiento que te proporcionará las bases necesarias para comprender y dominar estas poderosas etapas del proceso de análisis de datos. … Read more →

# Geostatystyka w R

## by Jakub Nowosad

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

# Mit Emma durch den Daten-Dschungel

## by Daniel Schumann & Oliver Böhm-Kasper

Begleitdokument zur Selbstlerneinheit “Mit Emma durch Daten-Dschungel” […] Dieses Tutorial soll Dich bei der Bearbeitung des Selbstlernkurses “Mit Emma durch den Daten-Dschungel” unterstützen. Du hast mit Emma bislang verschiedene Schritte auf ihrem Weg zur empirischen Abschlussarbeit erlebt. Nun kannst Du gemeinsam mit Emma das Auswertungsprogramm “R / RStudio” kennenlernen. (R ist das eigentliche Auswertungsprogramm; RStudio ist eine nutzerfreundliche Entwicklungsumgebung zur einfacheren Bedienung des Programms R.) Dieses Dokument soll Dir helfen, die einzelnen Schritte der … Read more →

# STM1001 Topic 8: Correlation and Simple Linear Regression

## by Amanda Shaker

STM1001 Topic 8 […] In this topic, we will be considering two related types of analyses: Correlation and Simple Linear Regression. These techniques can be used to describe the relationship between two numeric variables. For example, you may recall in Topic 2 that we considered the relationship between income per person (GDP per capita, PPP$ inflation-adjusted) and the Happiness Index (Gapminder.org 2021). We will again consider the relationship between these two variables, but this time we will focus our analysis on countries whose GDP per capita is between $10,000 and $50,000, as depicted … Read more →

# Statistiek en Excel

## by docenten: Alyanne, Bas, Michael, Renate, Rolinka en Zoltán

Dit is de reader voor de module Statistiek en Excel […] De cursus Inleiding Exacte Vaardigheden (voltijd) en Biomedische Basisvaardigheden (deeltijd) maken deel uit het studieprogramma van de VL1, tijdvak 1, periode A. Het is respectievelijk een onderdeel van de voltijds en de deeltijds propedeuse van de opleiding Life Sciences. De kennis en vaardigheden die worden opgedaan sluiten aan bij de thema’s ‘Health & Disease’, ‘Food & Health’ en ‘Sustainibility’. De cursus bestaat uit 2 modules: Deze online reader is voor Statistiek en Excel. Meer informatie over de overkoepelende cursus … Read more →

# 2023年度：データサイエンス 第3回

## by 酒井 優行

2023年度：データサイエンス 第3回 […] … Read more →

# Entscheidungsergonomie

## by Prof. Dr. Armin Eichinger

Inhalte zur Themen der Entscheidungsergonomie und des Behavioural Design HTML output Format: bookdown::gitbook (_output.yml) [...] Auf den folgenden Seiten finden Sie Inhalte zum Thema Entscheidungsergonomie (ein englischer Begriff mit ähnlichem inhaltlichen Gehalt ist etwa Behavioral Design). Die ursprüngliche Zielgruppe des Dokuments sind Studierende im gleichnamigen Kompetenzfeld der Angewandten Wirtschaftspsychologie der TH Deggendorf. Ich plane aber, inhaltliche Teilbereiche auch in anderen Veranstaltungen einzusetzen; beispielsweise als Wahlfach in IT-Studiengängen. Eigentlich ... Read more →

# 2023年度：データサイエンス 第2回

## by 酒井 優行

2023年度：データサイエンス 第2回 […] … Read more →

# 2023年度:データサイエンス 第１回

## by 酒井 優行

2023年度:データサイエンス 第１回 […] 今日の講義では以下の内容を扱います． 各セクションについて説明したのち，例を示して演習を行うという一連の流れを1セット（5分~15分） として講義を進めていきます． 手を動かす時間も多くありますので頑張っていきましょう． … 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 practical handbook. The buzzword ‘Big data’ and associated roles of data scientists have become common additions to academia, industry and government organisations seeking to optimise workflows and base decisions on factual evidence (Donoho 2017; Li et al. 2016).In response, the demand for data scientists has significantly grown, with two major recruitment websites LinkedIn and Glassdoor reporting a respective 56% and 44% year … Read more →

# STM1001 Topic 7: One-way ANOVA

## by Amanda Shaker

STM1001 Topic 7 […] In the previous topic, we learnt how to test for differences in means between two independent groups via the independent samples (t)-test. This was a situation where the independent variable was a categorical variable with only two categories. What happens when we want to test for differences in means between two or more independent groups? In this case, we can use one-way Analysis of Variance, commonly referred to as one-way ANOVA. What type of variables are required for a one-way ANOVA? A one-way ANOVA will always involve two variables: For example, let’s consider a … Read more →

# STM1001 Topic 6: t-tests for two-sample hypothesis testing

## by Amanda Shaker

STM1001 Topic 6 […] Having learnt in the previous topic about Hypothesis Testing via the one-sample (t)-test, this week we will extend our knowledge to two more types of (t)-tests: the two-sample (t)-test for independent samples, and the two-sample (t)-test for dependent (paired) samples. Throughout this topic, we will refer to these tests as the independent samples (t)-test and the paired (t)-test respectively. In this topic, we will learn what each of these tests are via examples, as well as the following important steps: Finally, in addition to learning how to determine … Read more →

# Índice de Condición Integral

## by Guillermo Correa-Londoño

PREFACIO | Índice de Condición Integral […] Las valoraciones integrales a partir de múltiples variables involucran aspectos cuya conceptualización y manejo pueden ser complejos. ¿Cómo deben valorarse las categorías de las variables?, ¿cómo ponderar las variables para generar constructos intermedios que den lugar a un índice integral?, ¿cómo manejar escenarios en los que se consideren constructos de diferentes jerarquías?, ¿cómo escalar los índices obtenidos? Este libro aborda estas y otras cuestiones, tanto desde lo conceptual como desde lo operacional, presentando una metodología en la que … Read more →

# Economics 395: Forecasting

## by Jaya Jha

Economics 395: Forecasting […] This resource is a compilation of Dr. Jaya Jha’s notes and code for Economics 395: Economic Forecasting. This course uses Introduction to Time Series Analysis and Forecasting as the primary textbook.1 The code sections for this class use the same data and visualizations from Introduction to Time Series Analysis and Forecasting, but not the methods.2 The methods used are from Forecasting: Principles and Practice by Rob J. Hyndman and George Athanasopoulos.3 Montgomery, Jennings, and Kulahci, Introduction to Time Series Analysis and Forecasting.↩︎ Montgomery, … Read more →

# Personal Notes: A Student’s Guide to Bayesian Statistics

## by Peter Baumgartner

Peter Baumgartner This Quarto book collects my personal notes, trials and exercises of the A Student’s Guide to Bayesian Statistics by Ben … Read more →

# SWBio Bioinformatics course task book

## by David Studholme

This is a minimal example of using the bookdown package to write a book. set in the _output.yml file. The HTML output format for this example is bookdown::gitbook, [...] This is the task book for the SWBio Bioinformatics course. This book summarises the tasks that you should work through during the workshops. The first three workshops are planned to be in-person with the instructor(s) present. During those in-person workshops there will be time to complete at least some of the tasks. Later in the week there are remote self-study sessions where you work at your own pace and the ... Read more →

# An Introduction to R Analytics

## by GT CY

This is a blueprint of an introduction to R. […] Welcome to the world of data analysis! “Introduction to R in Data Analytics” is your friendly guide to understanding how to use the R programming language for playing with data. If you’re new to this, don’t worry - we’ve got you covered. This book takes you step by step, teaching you how to make sense of data using R. We’ll show you how to organize information, create cool charts and graphs, and even predict trends from data. You’ll learn all about the powerful tools that R offers for understanding numbers and patterns in data. But we won’t … Read more →

# Introducción a la ciencia de datos con R.

## by Gastón Becerra y Juan Pablo López Alurralde

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

# 2023年度:データサイエンス 講義概要

## by 酒井 優行

2023年度:データサイエンス 講義概要 […] 本ページは2023年度のデータサイエンス講義の概要を説明するものです． 本講義では教科書の内容をベースにした講義資料を基に進めていきます。基本的に教科書の方が網羅的な内容となっているので 講義の中でわからない部分については適宜対応する教科書を内容を確認・自習するようにしてください。 また、R/RStudioを利用したプログラミングについても触れます。 ChatGPTなどを使ってプログラミングを支援してもらうことは一向に構いません。 これらのGenerativeAIは昨今話題になり、急速に社会に浸透しつつあります。 おそらく皆さんが大学を卒業し社会に出ていく頃には、さらに研究・開発が進み … Read more →

# Precalculus: 01 Function

## by Peter Baumgartner

Peter Baumgartner This Quarto book collects my personal notes, trials and exercises for the first chapter “Function” of Abramson, J. (2021). Precalculus 2e (2nd ed.). OpenStax College. Because of the huge amount of the material in the book I am planning a separate Quarto book for each of the 12 chapters of Precalcuclus. (So the plan: I am not sure if I will ever finish this monster project 😜) I will go through the text and note the most important content for me to learn. This results in a subjective collections of text pieces: Conditional on my previous knowledge (at that time) I will include … Read more →

# 제조 전문가의 AI 솔루션 설계 : 5일 완성

## by 이창선

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] 디지털 기술의 투자 비중은 클라우드에 집중되어 있으며, AI 투자는 매우 저조한 상태이다. 클라우드는 47.3%이지만, AI는 1.7%이다. 제조 분야에서 인공지능 디지털 활용율은 1.6%이며, 금융 11.1%, 통신 17.1%에 비해서 매우 낮은 편이다.(’21, NIS) 제조 AI 솔루션의 확산을 위해서는 본질을 이해할 필요가 있다. 제조AI ... Read more →

# You Can Learn R

## by Sam Manski

This is a resource to help teach people how to learn R. … 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 →

# Estatistica Experimental na Agricultura com R

## by Jennifer Lopes

Este é um livro criado para o curso. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] ... Read more →

# Marketing Research

## by Mike Nguyen

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

# Fundamentos de Programación en R y Python

## by Grupo 7

Grupo 7 Atencio Alejo, Alexander Gutierrez Huaman, Jesus Hernesto Huerta Tiburcio, Kennedy Brayan Perez Perez, Carla Estefani Xiomara Villa Yataco, Krisstell Si sientes una fascinación por el mundo de la programación y tienes un deseo genuino de adentrarte en los universos de R y Python, has llegado al lugar indicado. En este espacio, te sumergirás en un mar de conocimiento que te proporcionará las bases necesarias para comprender y dominar estas poderosas herramientas de programación. … Read more →

# Examen Parcial

## by Grupo 04

Grupo 04 Este Examen Pacial esta hecho en Quarto book, además esta hecho de forma grupal y los integrantes son los siguientes: Hidalgo Huachaca Dante Sebastian (22140235) Huaman Mejia Franseska Celeste (22140234) Arapa Lazo Julio César (22140218) Atachao Vela, Jorge Alonso (21140085) En este trabajo de investigación se tratará de abordar todo lo relacionado con R con el propósito de ayudar e incentivar el estudio de este importante programa en la rama de la Estadística. Se abordara los fundamentos del programa (qué es R, qué es IDE - Rstudio y la programación orientada a objetos). Como … Read more →

# R for Applied Economics: A Beginner’s Guide

## by Matthew Brown (website)

R for Applied Economics: A Beginner’s Guide […] Welcome to the R guide! This is a work in progress. I’ll continue to update it as the quarter goes along, and I appreciate your feedback about how I can make it most helpful. Please email me (mbrown35@stanford.edu) if you have comments or suggestions about this guide, or you can always mention it when you see me in class or in office hours. I anticipate that the guide will be useful for two audiences. The narrow audience is students in Prof. Hunt Allcott’s Empirical Environmental Economics (E3) course at Stanford.1 This website is a companion … Read more →

# Analysing CRISPR Screens with edgeR

## by Göknur Giner

This is a book version to write a book. set in the _output.yml file. The HTML output format for this example is bookdown::gitbook, [...] Welcome to the “Analyzing CRISPR Screens with edgeR”. Our aim is to empower researchers like you with the tools and knowledge needed to navigate the complex landscape of CRISPR data analysis. This platform serves as the central hub for a comprehensive guide on leveraging one of the most commonly used differential expression analysis Bioconductor package edgeR, for the analysis of CRISPR screens. Whether you’re delving into CRISPR experiments for the ... Read more →

# My R Markdown Document

## by Your Name

My R Markdown Document […] 通过观测点数据模拟整个大棚环境变量，进行可视化展示 … Read more →

# 学习笔记

## by wym

读报 … Read more →

# STM1001 Topic 4B (Science and Health)

## by Based on Chapter 5 of ''Scientific Research and Methodology'' by Peter K. Dunn (Dunn 2021)

STM1001 Topic 4B (Science and Health) […] In this topic, we will discuss sampling considerations (external validity). Following an overview of sampling, we will consider various sampling methods, along with specific considerations for each … Read more →

# Probability & Bayesian Modeling

## by Peter Baumgartner

Peter Baumgartner This Quarto book collects my personal notes, trials and exercises of Probability & Bayesian Modeling by Jim Albert & Jingchen … Read more →

# Sweeten Chick-fil-A Traffic Jam

## by Yuting Yuan

Managing congestion of Chick-fil-A drive-thru […] We consider the design of the drive-thru lanes of a fast food restaurant, Chick-fil-A, a well-known restaurant chain specializing in chicken sandwiches and related products. We focus on the drive-thru congestion for the following reasons. Some stores, for example, Chick-fil-A in Santa Barbara, had to rebuild the whole facility after receiving numerous complaints from residents and businesses. However, redesigning the drive-thru is a nontrivial operational decision that must be carefully made. This study is based on the renovation of a local … Read more →

# Multi-level Modeling: Nested and Longitudinal data

## by Marc Scott

This is a minimal example of using the bookdown package to write a book. set in the _output.yml file. The HTML output format for this example is bookdown::gitbook, [...] This is a course on models for multilevel nested data. These data arise in nested designs, which are quite common to education and applied social, behavioral and policy science. Traditional methods, such as OLS regression, are not appropriate in this setting, as they fail to model the complex correlational structure that is induced by these designs. Proper inference requires that we include aspects of the design in the ... Read more →

# Regression Modelling for Biostatistics 1

## by Schlub T, Heritier S, Teixeira-Pinto A

Schlub T, Heritier S, Teixeira-Pinto A The following chapters include notes, videos, R and Stata code, required readings, and exercises for the BCA unit RM1 (Regression Modelling for Biostatistics 1). These pages were generated with Quarto https://quarto.org/. On the left menu you have the topics that correspond roughly to the weekly modules. On the right side you should see the subtopics in the current topic. Make sure that you have access to Regression Methods in Biostatistics book by Vittinghoff et al. You should be able to obtain a digital copy of the book from the library of your … Read more →

# Design Notebook

## by Hao Sun

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] This is a note for popular clinical trial designs. Each design contains some corresponding literature, a shiny app for calculation and computation ... Read more →

# intro-to-R

## by ggiaever

The bookdown version of these pages is published on my page at intro-to-R and here, RNAseq_analysis. This course will cover several of the statistical concepts and data analytic skills needed to succeed in data-driven life science research as it relates to genomics and the omic sciences. For the bulk of the course we cover topics related to genomics and high-dimensional data. Specifically, we describe multiple testing, error rate controlling procedures, exploratory data analysis for high-throughput data, p-value corrections and the false discovery rate. Here we will cover experimental … Read more →

# Bayesian Statistics the Fun Way

## by Peter Baumgartner

Peter Baumgartner This Quarto book collects my personal notes, trials and exercises of the Bayesian Statistics the Fun Way: Understanding Statistics and Probability With Star Wars, LEGO, and Rubber Ducks by Will Kurt (Kurt 2019). I am not an expert in statistics. During my study in sociology back in 1970er I had only rudimentary learned about frequentist statistics. There weren’t computer only via time-sharing and keypunching for card-to-tape converter available. This was painstaking and not motivating because it had not much practical values. 10 years later I worked sometimes with SPSS but … Read more →

# STM1001 Topic 3: Probability and Distributions

## by Amanda Shaker

STM1001 Topic 3 […] In this topic, we will consider the concept of probability. We will then consider both continuous and discrete random variables, and then introduce perhaps the most famous probability distribution of all: The Normal Distribution. Finally, we will consider some other continuous and discrete … Read more →

# Inclusive Growth Index: Results

## by Petra Kynclova

The documentation shows preliminary data processing and results retrieved when compiling the Inclusive Growth Index (IGI). It also presents and analyzes the final results. [...] The documentation shows preliminary data processing and results retrieved when compiling the Inclusive Growth Index (IGI). It also presents and analyzes the final results. Following R packages should be installed and ... Read more →

# STM1001 Topic 2 - Descriptive Statistics

## by Amanda Shaker

STM1001 Topic 2 […] Having learnt how to present data in the last topic, in this topic our focus will be on describing data, or, descriptive statistics. We will be learning how to describe data using both numerical and graphical measures. Throughout this topic’s content, we will be considering some examples based on free material from Gapminder.org (Gapminder.org … Read more →

# Machine Learning and Neural Networks

## by Dr. Hailiang Du

These are the course notes for the Machine Learning and Neural Networks module (MATH3431) at Durham University. […] Welcome to the material for the first half of the Machine Learning and Neural Networks module (MATH3431) at Durham University. These pages consist of relevant lecture notes will be updated as the course progresses. I would recommend that you use the html version of these notes (they have been designed for use in this way), however, there is also a pdf version of these notes. In this first half of the module (Michaelmas Term), we will be focusing on “Machine Learning” rather … Read more →

# Balance 3B

## by Jane Doe

Jane Doe Cuota general; se recaudó S/80.00 soles que se entrego al comite general. Cuota del aula; se recaudó S/130.00 soles de los cuales se compró una cartera de S/120.00 soles y una bolsa de regalo de S/10.00 soles quedando pendiente el pasaje gastado (S/2.00 soles). Se recaudo S/270.00 soles de los cuales se gastó en vasos personalizados 3.80 x 27 los que nos da: Aparte se gastó en lo siguiente: Dando como gasto total lo siguiente: Entonces si hacemos una resta simple de lo recaudado en esta actividad menos lo gastado en total nos quedaria lo siguiente: Nos queda S/40.60 soles más los … Read more →

# Programando en R

## by Julio Arapa

Julio Arapa R es un entorno de software libre (licencia GNU GLP) y lenguaje de programación interpretado, es decir, ejecuta las instrucciones directamente, sin una previa compilación del programa a instrucciones en lenguaje máquina. El término entorno, en R, se refiere a un sistema totalmente planificado y coherente, en lugar de una acumulación de herramientas específicas e inflexibles, como suele ser el caso en otros softwares de análisis de datos. Este entorno es comúnmente utilizado para la computación estadística y gráfica, ya que dispone de una amplia variedad de técnicas estadísticas … Read more →

# About Rstudio-

## by Jane Doe

Jane Doe R es un entorno y lenguaje de programación que se centra en el análisis estadístico. Surgió como una implementación de código abierto del lenguaje S, enriquecido con capacidades de ámbito estático. Se ha convertido en uno de los lenguajes de programación más prominentes en la investigación científica y es especialmente destacado en áreas como aprendizaje automático (machine learning), minería de datos, econometría, investigación biomédica, bioinformática y finanzas. Esto se debe en gran medida a su capacidad para cargar diversas bibliotecas o paquetes que ofrecen funcionalidades de … Read more →

# El lenguaje R

## by Dante Hidalgo

Dante Hidalgo R es un lenguaje de programación que permite realizar análisis de datos escribiendo scripts y funciones. R es un lenguaje interactivo orientado a objetos, este ha sido diseñado por estadísticos para los estadísticos. El lenguaje proporciona objetos, operadores y funciones que hacen que el proceso de exploración, modelado y visualización de datos sea natural. Los análisis completos de datos a menudo pueden ser representados en unas pocas líneas de código. Además, R es un proyecto de software libre. Esto no sólo significa que se puede descargar y utilizar de forma gratuita, sino … Read more →

# Prueba de blog en quarto

## by wilder_espinoza3

R es un lenguaje de programación y entorno de desarrollo utilizado principalmente para análisis estadístico y visualización de datos. Es una herramienta poderosa y versátil que ha ganado popularidad en la comunidad de ciencia de datos y estadísticas debido a su flexibilidad y amplia variedad de paquetes y librerías. R Studio es un entorno de desarrollo integrado (IDE) diseñado específicamente para trabajar con R. Proporciona una interfaz de usuario amigable que facilita la escritura de código, la gestión de proyectos y la generación de informes reproducibles. En conjunto, R y RStudio son … Read more →

# PROGRAMACIÒN

## by Nicolle Berrospi

Nicolle Berrospi This is a Quarto book. To learn more about Quarto books visit https://quarto.org/docs/books. … Read more →

# Sobre el lenguaje R

## by Celeste Huaman

Celeste Huaman R es un entorno y lenguaje de programación con un enfoque al análisis estadístico. R nació como una reimplementación de software libre del lenguaje S, adicionado con soporte para ámbito estático. Se trata de uno de los lenguajes de programación más utilizados en investigación científica, siendo además muy popular en los campos de aprendizaje automático (machine learning), minería de datos, econometría, investigación biomédica, bioinformática y en el campo económico-financiero. A esto contribuye la posibilidad de cargar diferentes bibliotecas o paquetes con funcionalidades de … Read more →

# Proyecto en Lenguaje estadistico

## by Jordan Joel Pilco Valvas

Jordan Joel Pilco Valvas This is a Quarto book. To learn more about Quarto books visit https://quarto.org/docs/books. … Read more →

# TRABAJO LENGUAJE DE PROGRAMACION ESTADISTICA

## by Huaman Llanos Felix Moises

Huaman Llanos Felix Moises Una variable es un nombre que hace referencia a un valor. Una de las características más poderosas de un lenguaje de programación es la capacidad de manipular variables. Una variable es el nombre de una ubicación de memoria reservada que contiene algún valor. Por ejemplo: x = 10. Aquí, ‘x’ es el nombre de la variable, el signo igual (=) es un operador de asignación y 10 es el valor o literal. Entonces, al usar un operador de asignación (=) en Python, podemos reservar memoria para el valor sin declararlo explícitamente. Para asignar el valor a una variable, … Read more →

# Programando de Python a R studio

## by Norah Jones

Norah Jones This is a Quarto book. To learn more about Quarto books visit https://quarto.org/docs/books. Los operadores aritméticos son necesarios para realizar operaciones aritméticas como suma, resta, multiplicación, división, etc. La siguiente tabla es la lista de operadores aritméticos en Python: Los operadores relacionales se utilizan para comprobar la relación entre operandos y comparar los valores. Según la condición, estos operadores devuelven como resultado “Verdadero” o “Falso”: Para asignar el valor a una variable, utilizamos operadores de asignación. La siguiente es una lista de … Read more →

# Rstudio

## by Gianpier Chuqui Diaz

Gianpier Chuqui Diaz This is a Quarto book. To learn more about Quarto books visit https://quarto.org/docs/books. … Read more →

# Aprendiendo a Programar

## by Diego Cusi

Diego Cusi … Read more →

# Proyecto

## by Jane Doe

Jane Doe This is a Quarto book. To learn more about Quarto books visit https://quarto.org/docs/books. … Read more →

# Kriss Quarto

## by Krisstell

Krisstell … Read more →

# Behavior Analysis with Machine Learning Using R

## by Enrique Garcia Ceja

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

# STM1001 Topic 1: Introduction to statistics and presenting data

## by Amanda Shaker

STM1001 Topic 1 […] Where are we headed in this subject? In this subject, we will be learning how to Make Sense of Data. One of the most important tools we can use to do so is Statistics. What is Statistics? Statistics allows us to make sense of data. It involves collecting, describing, and analysing data, and sometimes drawing conclusions from data. In a nutshell, the above definition describes exactly what we will be doing throughout this subject. We will be learning about how to collect data. Once we have a data set, how can we then make sense of it? It is always a good idea to begin by … Read more →

# Programando en R y Rstudio

## by Kennedy Huerta Tiburcio

Kennedy Huerta Tiburcio … Read more →

# Ejemplos para Pruebas de Comparación de Medias con R

## by María Victoria López

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] Material complementario para estudiantes de las carreras: Licenciatura en Cs. Biológicas y Licenciatura en Bromatología de la Facultad de Ciencias ... Read more →

# Inclusive Growth Index - Methodology

## by Nour Barnat, Diana Camerini, Petra Kynclova, Cloe Schaub

This is a methodological guide for compilation of the Inclusive Growth Index (IGI). Each chapter contains detailed information about individual steps required for the IGI compilation and production. The Inclusive Growth Index is a composite indicator of growth developed by UNCTAD. The 2023 edition of the IGI is calculated by using updated data series, following the methodology from 2022. In the version developed in 2022 (see SDG Pulse 2022), it consists of 27 baseline indicators, grouped in 4 pillars (economic growth, living conditions, equality and environment). The SDG Pulse 2022 chapter is … Read more →

# Doing Meta-Analysis in R

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

This is a guide on how to conduct Meta-Analyses in R. (Japanese version) […] オンライン版の R によるメタ分析：ハンズオンへようこそ。 本書は、 R でメタ分析を行う方法について、わかりやすく紹介するガイドラインである。メタ分析の基本的な手順として、アウトカム指標のプール、フォレストプロット、異質性診断、サブグループ解析、メタ回帰、出版バイアスの制御方法、バイアスリスク評価、プロットツールなどを網羅している。 また、ネットワークメタ分析、マルチレベル（３レベル）メタ分析、ベイズメタ分析アプローチ、SEM メタ分析といった高度でありながら関連性の高いトピックも取り上げる。 本書で扱うプログラミングや統計的背景は、専門家でなくても理解 … Read more →

# المملكة العربية السعودية

## by جزاء اللهيبي // jeza_hmoud ©

يقدم هذا المقال لمحة بسيطة عن المملكة العربية السعودية والاحتفال باليوم الوطني، بالإضافة إلى تقديم نظرة عامة على حياة الملك … Read more →

# Esercizi per il corso di Statistica di Base

## by Brunero Liseo, Sapienza Università di Roma

In questo libro sono presenti gli esercizi di Statistica di Base […] In questo libro sono elencati una serie di esercizi preparatori per il superamento dell’esame di Statistica di Base somministrati agli studenti nel corso degli anni, presso la facoltà di Economia, Sapienza Università di Roma. Hanno partecipato alla loro raccolta, nel corso del tempo, molti collaboratori che ringrazio con affetto: Alberto Arcagni, Serena Arima, Marilena Barbieri, Maria Brigida Ferraro, Stefania Gubbiotti, Federico Polito, Claudia Vittori. Ringrazio anche Nina Deliu per il prezioso aiuto con bookdown e Dario … Read more →

# 381M Course Bookdown

## by Josephine Lukito

This is a textbook for the course J381M at UT-Austin. […] Welcome to the J381M Textbook! In this course, we will learn how to use R for Computational Communication Research and Data Science, focusing on skills such as data wrangling, basic statistics, data visualization, data collection, NLP, network analysis, and machine learning. This is a survey course that is meant to give you a taste of data science. In truth, many of these topics are rich enough to warrant full courses. This textbook is best paired with the J381M course materials, including lectures, readings, and course assignments. … Read more →

# Jasper and I: Socratic Dialogues

## by José Becerra

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] Artificial intelligence (AI) technology applies the current body of knowledge in the collective mind of humanity to answer queries in human language, using the term knowledge as the intermediate stage of progression from information to wisdom. These series of essays are a dialogue of this collective mind in its brand as Jasper.ai, engaging in a rational dialogue with an enquirer researching the limits of AI in the more ... Read more →

# ORCA Transitional Facility Manual V4.1

## by Bob Dagg

Bob Dagg … 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 →

# Cônicas e Superfícies Quádricas

## by jwlal1

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] As cônicas e as superfícies quádricas têm uma longa história e são objetos matemáticos de grande importância. Elas desempenham um papel fundamental em diversas áreas da ciência, como física, engenharia, arquitetura e computação gráfica. Além disso, esses conceitos são essenciais para o estudo da geometria e do cálculo. Neste material, iremos explorar as propriedades fundamentais das cônicas, incluindo elipses, parábolas ... Read more →

# Shamballa: Outline of a Book

## by José Becerra

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] This is an outline of a forthcoming book on the subject of: A program review of the Plan for Humanity in preparation for the externalization of the planetary spiritual Hierarchy and the imminent return of the World Teacher, a Plan being implemented by the Group of World Servers in seven major fields of ... Read more →

# GSB 518 Handouts

## by Kevin Ross

Kevin Ross This is a selection of Handouts for Cal Poly GSB 518, Essential Statistics for Business Analytics, covering topics in Probability and Statistics. Here are some R packages that might be used throughout the … Read more →

# The Cosmic Chessboard: An Archetypal Odyssey

## by José Becerra

This reimagined narrative will take young readers on an enlightening journey through the cosmos, where each chess piece carries its unique universe of stories, with unadorned prose and philosophical reflection. Chapter 1 - Sun’s Sovereign King: The Father King, embodying the Sun’s daylight radiance, takes center stage in this chapter. Its pivotal role in the game echoes the Sun’s pivotal position in our solar system—a source of power for all to share and protect. Chapter 2 - Moon’s Veiled Queen: The narrative then moves to the Mother Queen of the Night and Guardian of the Earth. A figure of … Read more →

# ACT2060 - Applications probabilistes des risques actuariels

## by Jean-Philippe Boucher

Notes de cours du ACT2060-Applications probabilistes des risques actuariels, du baccalauréat en actuariat, UQAM. […] Ce site contient les notes de cours pour le ACT2060 - Applications probabilistes des risques actuariels, un cours obligatoire du baccalauréat en actuariat de l’UQAM. L’objectif de ces notes est d’introduire les étudiants aux concepts de base de l’actuariat en assurance IARD tout en utilisant le logiciel R pour mieux comprendre la théorie et pour des applications pratiques. Ces notes de cours ont été écrites en RMarkdown, plus particulièrement en RBookdown. Les notes de ce … Read more →

# Quick Introduction to R/RStudio - online notes

## by Jessica Kraker

This is a set of minimal introductory notes, developed by Dr. Jessica Kraker for use at UW - Eau Claire and in community education. Original notes were devised for the UWEC DS 140 course. […] Contact: Please contact Jessica Kraker at krakerjj@uwec.edu with questions or … Read more →

# An Introduction to R for Research

## by Ramzi W. Nahhas

This text was written to provide Wright State University MPH students an introduction to the R programming language for use in research. […] This online book was written to provide Wright State University MPH students an introduction to the R programming language for use in research. The datasets used in this text are not being made publicly available. If you are using this material as part of a Wright State University course or tutorial, datasets will be provided to you by the instructor or in your learning management system. If you have any comments or suggestions, feel free to contact … Read more →

# Leaflet in Practice: Create webmaps using the JavaScript Leaflet library

## by Samuel Gachuhi Ngugi

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] This book was written to assist the budding GIS specialist, geographer or cartographer who has an interest in quickly learning how to create webmaps with minimal knowledge of JavaScript. The aim of this book is to bring the learner up to speed on how to create almost any kind of webmap using Leaflet. Written from the point of a self-taught programmer, this is more of a guide book on how to navigate the Leaflet ... 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 →

# Data Wrangling and Visualization Guide

## by Max Ricciardelli

This book is meant to provide a guide to those who have little to no experience in R and R studio to conceptions dealing with data and statistics. R is a powerful tool allowing highly customizable data visualization and offers many different formats and applications to users. […] These modules are here to present a succinct guide to using R, RStudio, and R Markdown for data wrangling and visualization. This guide is meant for those who have little to no experience in programming. My purpose in designing these modules is to provide a brief yet clear guide to learning the basic theory of these … Read more →

# Foundations of Statistics

## by Prof Peter Neal and Dr Daniel Cavey

Lecture Notes for Foundations of Statistics […] In this course the fundamental principles and techniques underlying modern statistical and data analysis will be introduced. The course will cover the core foundations of statistical theory consisting of: The course highlights the importance of computers, and in particular, statistical packages, in performing modern statistical analysis. Students will be introduced to the statistical package R as a statistical and programming tool and will gain experience in interpreting and communicating its output. Learning Outcomes A student who completes … Read more →

# STA 125 Notes (Statistical Reasoning)

## by Christopher Mecklin

This are notes for STA 125 at Murray State University for students in Dr. Christopher Mecklin’s class. […] These notes are meant to supplement, not replace your textbook. I will occasionally cover topics not in your textbook, and I will stress those topics I feel are most important. “Statistical Reasoning” is a new course at Murray State, where the major goal of the course is to become a “consumer” of statistics rather than a “producer” of statistics. Thus, our emphasis will be on the correct interpretation of statistical results that you might run across in the media, particularly as … Read more →

# Syllabi

## by Hannah Lunkenheimer

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] This is a document that contains syllabi for the courses taught by Hannah Lunkenheimer. Please reference this doc any time you have questions about your course. If you can’t find an answer, please try troubleshooting, checking your e-mail, Canvas, Slack, or e-mail me your question. Also, if you find any mistakes, please let me know. ... Read more →

# Cooking After Retirement

## by Bruce Cochrane

A book created with bookdown. […] My adventures in the kitchen date back to my childhood, and I am actually thankful that neither my mother nor my father (Vince and Jean Cochrane) liked to cook, so they eagerly encouraged my childhood desire to explore. As an adult, my family - both my first wife, the late Barbara Leyden, and my second, Alice Kahn, provided encouragement and constructive criticism where necessary. Finally, my two sons, Steven and John Cochrane, are continuing the cooking tradition - Steven as a vegetarian and John as a budding pitmaster. This book is lovingly dedicated to … Read more →

# R Outout Gallery

## by Hao Sun

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] This bookdown includes some interesting table and figure examples. It can be used as a manual of ggplot2, DT, ... Read more →

# Introduction to Statistics: Excel Lab Manual

## by Bianca Sosnovski

This is an Excel computer lab manual to be used in an Introduction to Statistics course at QCC. […] Statistics is present in many ways in our lives. Statistical methodology can be found in surveys, sampling, clinical trials, studies of biomedical treatments, digital marketing, finance, etc. In recent years, Statistics has undergone changes in its techniques and approaches because of the need to analyze exceptionally large and complex data sets that arise all around us but cannot be done by hand. Since we have more powerful computers available to us at the present time, we can employ them to … Read more →

# Green Crab Management Tools: A Guide

## by Abby Keller

This is a guide to illustrate the functions and tools contained within the European Green Crab Management Tools web app. To plan or interpret green crab monitoring and removal efforts, it is necessary to understand how the true state of the system produces our observations of the system. A trap or environmental DNA (eDNA) collection is a probabilistic sample of the true state of the environment. This idea is fundamental to the web app. True capture rate and trap-adjusted capture rate are two key terms that will be used frequently throughout. For a given spatial extent, time of year, and trap … Read more →

# GGA 2023 Poster References

## by Jennifer Baltzegar

GGA 2023 Poster References […] This is a list of relevant references for the poster titled “Multiple Haplotypes Contribute Toward the Rapid Evolution of Pyrethroid Resistance in Aedes aegypti” by Jennifer Baltzegar and Fred Gould. Presented at the NCSU Genetics and Genomics Academy Retreat at Hunt Library on August 25, 2023. Jennifer Baltzegar: jen_baltzegar@ncsu.edu … Read more →

# Draft Panduan Survei Kehati

## by Fauna & Flora International`s Indonesia Programme

Panduan praktis mengenai survei keanekaragaman hayati […] Fauna & Flora Internationals Indonesia Programme Panduan ini ditujukan untuk siapa saja yang tertarik melakukan survei keanekaragaman hayati (kehati), terutama bagi praktisi di dalam Fauna & Flora Internationals Indonesia Programme (FFI’s IP). Panduan ini disusun agar pemantauan kehati dapat dilakukan dengan standar minimum yang sama, akurat, dan dapat digunakan untuk pengambilan keputusan ilmiah. Panduan ini adalah ringkasan umum untuk melakukan pemantauan pada empat taksa berikut: Avifauna, Herpetofauna, Mamalia, dan Vegetasi … 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 researcher 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 Companion for Intermediate Stats

## by Laura Lambert

This is a compilation of R code and output interpretation to accompany an Intermediate Inferential Statistics course taught at JMU. It is not intended to teach the statistics, but rather to support R coding and interpretation. [...] This book is intended to serve as a guide for the R functions you will be running in PSYC 605. The statistics will be covered in class; this is to support your analysis using R. This is not intended to be an exhaustive guide to R but rather a tool to aid in your work. For clarity’s sake, repeated tests between statistical techniques will be fully explained ... Read more →

# Myocarditis Redcap wiki

## by Charles Dolladille

This is a reference book that describes the data structure and variables and the common data management schemes used for the analysis of the Myocarditis Redcap from Vanderbilt University. […] This is a reference document that describes the data structure and variables and the common data management schemes used for the analysis of the Myocarditis Redcap from Vanderbilt University. This document is intended as a cheatsheet, for fast and easy reminder of data structure and variable names, and how to use them. Cardiologist and data manager researchers from Drs Moslehi and Salem … Read more →

# Machine Learning for Biostatistics

## by Armando Teixeira-Pinto

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

# Analytics for a Changing Climate: Introduction to Social Data Science

## by Stanford Summer Course 2023 | Instructor: Tyer McDaniel, Sociology, tylermc@stanford.edu

This will serve as a course reader for SOC 128D, Summer 2023. […] Office Hours: Fridays and Mondays, 11:00am-12:30pm https://calendly.com/tylermcdaniel/tyler-s-office-hours Course Description: Data science has rapidly gained recognition within the social sciences because it offers powerful new ways to ask questions about social systems and problems. This course will examine how tools from data science can be used to analyze pressing issues relating to disaster, inequality, and scarcity in the Anthropocene (the current period in which humans are the primary driver of planetary changes). We … Read more →

# RNAseq analysis

## by ggiaever

RNAseq analysis […] The bookdown version of these pages is published on my page at intro-to-R and here, … Read more →

# R Guide

## by Asser Koskinen

R Guide […] R is a programming language and environment for data analytics, machine learning and computer science. This brief guide will get you … Read more →

# R Tools for Market Research

## by Alessio Rossi

This is a short introduction to some methods used in market research. […] This short book is a practical guide to using R for market research. It provides an overview of some market research tools and methods, with a focus on their practical implementation in R. Each chapter includes step-by-step instructions on how to use R to implement these methods, along with sample code. For suggestions please write to rossialessio095@gmail.com … Read more →

# Fantastic Genes and Where to Find Them

## by Maria Gallegos, Cal State University East Bay

Fantastic Genes and Where to Find Them […] First, I would like to acknowledge the Genome Education Partnership (GEP) for inspiration. They created a resource for learning about Eukaryotic gene structure using the UCSC Genome Browser (Laakso et al. 2017). Their focus is on the Drosophila genome. My focus is on humans. This manual has been written for a undergraduate course entitled Principle of Genetic analysis (BIOL 310) at Cal State University, East Bay but can be used by anyone wanting to learn more about gene structure and function. My hope is that skills learned within these pages and … Read more →

# Homeworks for James’ Stats classes

## by Zhifei Yu

Homeworks for James’ Stats classes […] Howdy! This is a collection of 4 assignments from James Scott’s probability and Statistics courses, written by Zhifei Yu a.k.a … Read more →

# Princípios de Epidemiologia Veterinária

## by Prof. Dr. M.Sc. M.V. Rafael Veríssimo Monteiro

Uma introdução aos princípios, técnicas, métodos e estratégias da Epidemiologia Veterinária. […] Este livro foi escrito, na maior parte durante a pandemia de COVID-19, com a finalidade de fornecer ao aluno de graduação em Medicina Veterinária um corpo de informação que o permita entender o complexo ambiente de trabalho em que ele vai se inserir neste século XXI. Embora os capítulos possam ser lidos em separado, há uma ordem de construção do raciocínio epizootiológico na sequência dos capítulos, para quem se dedicar a segui-los. Eu usei para a construção deste livro o software R (R Core Team … Read more →

# Towards building stock decarbonisation: A streamlined algorithm for Measurement and Verification at scale.

## by MEng Student, Jamie Williams., MEng Student, Callum Robertson., PhD Student, Karla Gonzalez., Dr Massimiliano Manfren.

Towards building stock decarbonisation: A streamlined algorithm for Measurement and Verification at scale. […] This project used Highfield Campus, Southampton, as a case study to demonstrate how the energy modelling process can be streamlined at scale. The algorithm shown is able to individually create 3 parameter change point models for each building in a large dataset simultaneously, whilst uniquely selecting the best fitting balance point for each. This document will explain how the code can be replicated or customised for use in other datasets. The full repository can be found on Github here. … Read more →

# Projeto de formação em Saúde Digital

## by Instituto de Saúde Coletiva

(Bruno, Pereira, and Faltay 2023) Com base nesses princípios, o PROFSAD atuará na interface entre educação e saúde, em parceria com as instituições envolvidas, visando à melhoria da qualidade da formação em Saúde Digital, envolvendo práticas de ensino, diretrizes pedagógicas, funções didáticas e orientação curricular. Realizado no contexto da formação acadêmica e profissional em saúde, o aporte crítico será condição crucial para o desenvolvimento de uma proposta curricular inovadora, em processo permanente de co-criação, em harmonia com o marco referencial tecnológico da SEIDIGI/MS, com as … Read more →

# STAT 331

## by Ben Prytherch

Ben Prytherch STAT 331, as the title states, is an “applied” statistics course. It is intended for anyone who has taken at least one introductory level statistics course, and who wants to learn more about the use of statistical methods in quantitative research. It covers many statistical tools that are usually considered too advanced for an introductory level class, but are nonetheless very popular. It also provides guidance on making data analysis decisions. Most assignments will involve looking up a published scientific paper for which the data are available and reproducing the main … Read more →

# Research Project Student Handbook

## by Edward Stanhope

This guide is one of the many resources that students and supervisors can refer to during the planning, implementation and write up of the Level 6 Research Project in the Staffordshire University School of Health, Science and Wellbeing, Sport and Exercise Department. The primary purpose of this guide is to provide a single reference point for all information pertaining to the in the Staffordshire University School of Health, Science and Wellbeing, Sport and Exercise Department Level 6 Research Project. This guide should be used in conjunction with supplementary resources available via the … Read more →

# Indiana Mental Healthcare Inventory 2022-2023 -

## by pinksosteel

[talk about the hopes for the project] [point] [which tab to navigate to for more info] [point] [which tab to navigate to for more info] [point] [which tab to navigate to for more info] [point] [which tab to navigate to for more info] Any success depends on the support and collaboration of local mental health providers. If you have any questions are would like to know how you can help please contact a member of the team below. Emails and whatever for all of … Read more →

# Effective Ecology

## by rogerdavidcousens

This is draft of the book Effective Ecology […] Roger D Cousens with ©2023 Roger D Cousens, with co-authors Mark R T Dale, Alkistis Elliott-Graves, Michael J Keough, Gerry P Quinn, Joshua I Brian, Jane A Catford, Jannice Friedman, Alyson C Van Natto, Bruce L Webber, Daniel Z Atwater, Maria Paniw, Chris M Baker, Thao P Le, Marc W. Cadotte and Françoise Cardou This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Note: The online version of this book is free to read here - thanks to Taylor & Francis/CRC Press.You can purchase a … 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 the … Read more →

# Spatial transcriptomics data analysis: theory and practice

## by Eleftherios Zormpas, Dr Simon J. Cockell

This book will guide you through the practical steps of the in-person tutorial IP2 for the ISMB/ECCB 2023 conference in Lyon named: Spatial transcriptomics data analysis: theory and practice. […] This book will guide you through the practical steps of the in-person tutorial IP2 for the ISMB/ECCB 2023 conference in Lyon named: “Spatial transcriptomics data analysis: theory and practice”. Recent technological advances have led to the application of RNA Sequencing in situ. This allows for whole-transcriptome characterisation, at approaching single-cell resolution, while retaining the spatial … Read more →

# STA 440/441 Notes (Mathematical Statistics I)

## by Christopher Mecklin

Notes for STA 440/441 at Murray State University for students in Dr. Christopher Mecklin’s class. […] Let’s start with an informal notion of probability, where we try to assign a numerical percentage or proportion or fraction to something happening. For example, you might be interested in the chance that it will rain tomorrow. How would you go about assigning a numerical value to this event? This would be an example of the subjective approach to probability, based on an event that cannot be repeated, although a weather forecaster might run many simulations of a weather model (which would be … Read more →

# 数据科学中的 R 语言

## by 王敏杰

This book is an overview of how practitioners can acquire, wrangle, visualize, and model data with the R and Stan. […] 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。R语言是统计编程的第一语言，近几年Tidyverse的推出大大降低了R语言的学习难度。Tidyverse是一系列R包的集合，包含了dplyr、ggplot2、tidyr、stringr等，从数据导入预处理，再到高级转化、可视化、建模和展示。因为其代码清晰可读的编程风格，得到越来越多人的喜爱。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 … 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 have to … Read more →

# Lokal press

## by Dusko Medic, Nedim Sejdinovic, Tijana Blagojev, Lela Milivojevic, DM media

Ukupan broj odgovora na anketu 181. Isitanici rade u ukupno 104 razlicitih medija. Tabelu sa spiskom medija i brojem ispitanika uposlenih po mediju pogledajte dole. Ispitanici su ostavili sledeće komentare |Column18 | |:——–|. Tabelu sa odgovorima na pitanje 22 pogledajte dole. Tabelu sa odgovorima na pitanje 27 pogledajte dole. Tabelu sa odgovorima na pitanje 43 pogledajte dole. Tabelu sa odgovorima na pitanje 49 pogledajte dole. Tabelu sa odgovorima na pitanje 50 pogledajte … Read more →

# Introduction to R for Health Data Science

## by Statistics Team

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 →

# R/RStudio Companion

## by Statistics/Data Science

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

# 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 →

# CRT and Belief in God

## by Authors: A group of cool researchers

CRT and Belief in God […] This document contains essential codes and details required for the project. The file has several sections, including data cleaning, data checking, and analysis. Each section is designed to perform specific tasks, and you can easily navigate through the file to locate the relevant section. Each section provides codes, outputs, and explanations to help you understand the processes involved in the project. With this file, you have a comprehensive guide to executing the project successfully. The Dropox folder that contains the materials of this project can be found … Read more →

# Controle de Processos Químicos: Conceitos e Aplicações

## by Gabriel de Azevedo Silva Carrilho Simões, Laio Luis Barbosa Ribeiro, William Cardoso Sacramento

E-book em desenvolvimento. … Read more →

# Text Mining for Social Scientists

## by Felix Lennert

This book is supposed to introduce the reader (i.e., you) to a fundamental technique for computational social science research: the quantitative analysis of text. […] Dear student, if you read this script, you are either participating in one of my courses on digital methods for the social sciences, or at least interested in this topic. If you have any questions or remarks regarding this script, hit me up at felix.lennert@ensae.fr. This script will introduce you to the quantitative analysis of text using R. Through the last decades, more and more text has become readily available. Think for … Read more →

# Targeted Learning in R

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

An open source handbook for causal machine learning and data science with the Targeted Learning framework using the tlverse software ecosystem. […] Targeted Learning in R: Causal Data Science with the tlverse Software Ecosystem is an fully reproducible, open source, electronic handbook for applying Targeted Learning methodology in practice using the software stack provided by the tlverse ecosystem. This work is a draft phase and is publicly available to solicit input from the community. To view or contribute, visit the GitHub repository. The contents of this handbook are meant to serve as a … 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 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 exercise … Read more →

# Lineare Algebra

## by Mark Trede

Einführung in die lineare Algebra für Wirtschaftswissenschaften […] In den Wirtschaftswissenschaften braucht man viele Werkzeuge aus der Mathematik. Dazu gehören natürlich Optimierungsverfahren, die in dem Modul Mathematik 1 behandelt wurden, denn die Kernfrage der Ökonomik ist ja, wie man unter Berücksichtigung von Restriktionen optimal handelt. Ein weiteres für die Wirtschaftswissenschaften sehr nützliches Gebiet der Mathematik ist die lineare Algebra. Wo werden die Werkzeuge der linearen Algebra eingesetzt? Mit Hilfe von Vektoren und Matrizen lassen sich komplexe Situationen oder Modelle mit … Read more →

# Martine and The Start-Up

## by Martine Dolladille, Illustrator: Agnès Kiefer

Martine and The Start-Up […] “I don’t really like my first name.” Those are the first words that appear on the screen in front of Marie-Pierre. I burst into laughter and immediately confess, “Me neither!!” Marie-Pierre has a big smile, and we chat like two friends. The only difference is that Marie-Pierre talks to me through her screen, thanks to her gaze directed at the letters. Marie can no longer move. She has ALS (Charcot’s disease) and is completely paralyzed. Only her eyes allow her to communicate with those around her, and she does it with a great sense of humor. Deep inside me, as I … Read more →

# Martine et la Start-Up

## by Martine Dolladille, Illustration : Agnès Kiefer

Martine et la Start-Up […] “Je n’aime pas beaucoup mon prénom.” Ce sont les premiers mots qui s’affichent sur l’écran en face de Marie-Pierre. J’éclate de rire et lui confie aussitôt : “Moi non plus !!” Marie-Pierre a un grand sourire et nous papotons comme deux amies. La seule différence est que Marie-Pierre me parle sur son écran, grâce à son regard dirigé sur les lettres. Marie ne peut plus bouger. Elle a une SLA (maladie de Charcot) et est complètement paralysée. Seuls ses yeux lui permettent d’échanger avec son entourage et elle le fait avec beaucoup d’humour Au fond de moi, en la … Read more →

# Data Donations - Tutorial Automated Content Analysis

## by Valerie Hase, LMU Munich

Data Donations - Tutorial Automated Content Analysis, LMU, Spring 2023 […] This online tutorial will accompany the seminar “News on and for Social Media”. It is part of the B.A. “Communication Research” (LMU, Spring 2023). In short, it supports the group using automated content analysis for analyzing data donations. This tutorial will introduce you to two main aspects: You are expected to work through the content of these tutorials before each of our regular sessions so we can use in-person meetings to discuss questions/test your new knowledge via exercises. Each tutorial includes First of … Read more →

# Econometria com Simulação e Visualização de Dados

## by Igor Procópio

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. ... Read more →

# R Language Introduction Course

## by ZhaoFenfei

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] In this book, we will provide one way to master R language for beginners. … Read more →

# Course script for SICSS Paris

## by Julien Boelaert, Felix Lennert, Étienne Ollion

This book serves as an accompanying script for the R sessions of the 2023 Summer Institute for Computational Social Science (SICSS), taking place at the Institut Polytechnique de Paris. […] Dear student, if you read this script, you are either participating in the SICSS itself or came across it while browsing for resources for your studies. In any case, if you find inconsistencies or mistakes, please do not hesitate to point them out by shooting an email to felix.lennert@ensae.fr. This script will introduce you to the automated acquisition and subsequent quantitative analysis of text data … Read more →

# Simulation Models of Cultural Evolution in R

## by Alex Mesoudi

This tutorial shows how to create very simple simulation or agent-based models of cultural evolution in R [...] This tutorial shows how to create very simple simulation or agent-based models of cultural evolution in R (R Core Team 2021). Currently these are: Each model is contained in a separate RMarkdown (Rmd) file. You can either (i) download each of these Rmd files from https://github.com/amesoudi/cultural_evolution_ABM_tutorial then open them in RStudio or another IDE, executing the code as you read the explanatory text, or (ii) read the online version of the tutorial at ... Read more →

# Workshop: Interactive Data Analysis with Shiny

## by Paul C. Bauer & Jonas Lieth

Paul C. Bauer & Jonas Lieth This document serves as slides and script for the workshop Interactive Data Analysis with Shiny taught by Paul C. Bauer and Jonas Lieth (Gesis, Mannheim, Online, 5-7th of July 2023). Original material is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license. Where we draw on other authors material other licenses may apply (see references in the syllabus as well as the citations and links in the script). For potential future versions of this material see the github repository. If you have feedback or discover errors/dead … Read more →

# Notes for Survival Analysis

## by Hao Sun

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] This book is the notebook for Survival Analysis - Techniques for Censored and Truncated Data authored by John P.Klein and Melvin L. ... Read more →

# Data Wrangling Recipes in R

## by Hilary Watt @ Department of Public Health, Imperial College London

To save time. Many students and staff spend days and weeks wrestling with R code to prepare data for analysis. This resource is a valuable addition to conventional resources that are structured around function types. It illustrates the workflow, highlighting which functions are important to know and how to piece them together. Example coding is given to overcome many ways in which data can be messy, making practical tasks far easier to deliver. One PhD supervisor spent ages before they realised that the lack of an appropriate ID variable was the reason why their student couldn’t merge their … Read more →

# Duke Vascular Handbook

## by johnson_adam_p

Duke University Hospital vascular service expectations: DUH Vascular is an busy service. Our patients are often relatively sick, we run multiple ORs a day, and plans can change dramatically and often. It can be a very fun and rewarding experience when the whole team pulls together - and it can be stressful, chaotic, and dangerous for patients when communication and follow through are poor. With that in mind, we’ve put together the following expectations to help the service run smoothly and safely. First, a note about the service structure: DUH Vascular is currently split into two teams, the … Read more →

# _main.knit

## by mathsresources

This textbook is designed to support the Advanced Higher Statistics course. … Read more →

# Intermediate Web Scraping and API Harvesting

## by Felix Lennert

This book will cover web scraping with rvest and API harvesting. […] In today’s digital age, the internet serves as a vast repository of information, encompassing websites that offer valuable data for various purposes. While some of them are readily available to be “plucked” through an automated approach via suitable application programming interfaces (APIs), considerable amounts of information available on the web are primarily designed for human consumption and, therefore, not readily accessible for automated analysis or integration into data-driven projects. This is where web scraping … Read more →

# APIs for social scientists: A collaborative review

## by Current editors: Paul C. Bauer, Camille Landesvatter, Lion Behrens Authors & contributors: Paul C. Bauer, Jan Behnert, Lion Behrens, Chung-hong Chan, Bernhard Clemm von Hohenberg, Lukas Isermann, Philipp Kadel, Melike N. Kaplan, Jana Klein, Markus Konrad, Barbara K. Kreis, Dean Lajic, Camille Landesvatter, Madleen Meier-Barthold, Grace Olzinski, Nina Osenbrügge, Ondrej Pekacek, Pirmin Stöckle, Malte Söhren, Domantas Undzėnas

This book provides an introduction to different APIs that may be useful to social scientists. […] The present online book provides a review of APIs that may be useful for social scientists. Please start by reading the Introduction. The material was/is being developed by various contributors, which you can find above and in the contributor section of the corresponding github repository. If you are interested in contributing, please check out the Section How to contribute in the github README. The material is licensed under a Apache License 2.0 license. Where we draw on other authors’ … Read more →

# Financial Network and Risk Contagion

## by Fengyi Zhu

This is a note on financial network, risk contagion and systemic risk. […] The book is a collection of notes of academic literatures on financial network, risk contagion and systemic … 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 →

# Biostatistics Terminology

## by Hao Sun

Biostatistics Terminology … Read more →

# Vol and Var swaps

## by Anthony Nadjari-Finckelstein

This book aims at giving an insight and teach the basics of equity derivatives and structured products: composition, functioning, pricing and hedging. […] This book was created for students preparing interviews for internships / jobs in financial … Read more →

# Madurez digital en los municipios de la región del Biobío

## by Abel Luis Muñoz Vera

Memoria presentada para optar por el grado de Licenciado en Ciencias Políticas y Administrativas, en la facultad de Ciencias Jurídicas y Sociales de la Universidad de Concepción. Autor Abel Luis Muñoz Vera, profesor guía, Carlos Humberto Umaña Mardones. […] Nota: Este libro ha sido publicado por Abel Luis Muñoz Vera, utilizando el formato Rmarkdown que sirve para hacer documentos dinámicos con R y el software RStudio, gracias al paquete Bookdown se generaron los contenidos que luego fueron publicados en la plataforma Bookdown de Posit mediante el paquete rsconnect para su visualización como … Read more →

# AI and ML for Social Scientists - Artificial intelligence and Machine Learning for Social Scientists

## by paul

Website updated on 05 Juni, 2023. This website serves both as slides and script for the MA seminar AI and Machine learning for Social scientists taught by Paul C. Bauer at the University of Mannheim (Spring 2023). The material was/is being developed by Paul C. Bauer . The material is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license. Where I draw on other authors’ materials (with their permission) other licenses may apply. I am grateful for feedback and if you find errors please let me know. This website was generated with … Read more →

# Computer Intensive Statistics: APTS 2022–23 Supporting Notes

## by Richard Everitt

Computer Intensive Statistics: APTS 2022–23 Supporting Notes […] These notes were intended to supplement the Computer Intensive Statistics lectures and laboratory sessions rather than to replace or directly accompany them. As such, material is presented here in an order which is logical for reference purposes after the week and not precisely the order in which it was to be discussed during the week. There is much more information in these notes concerning some topics than would have been covered during the week itself. One of their main functions is to provide pointers to the relevant … Read more →

# Statistics and Probability for Economics and Finance - 2022/23

## by Michela Cameletti

Notes for the R labs of the SPEF 22/23 course @UniBg […] You are reading the lecture notes of the R labs for the Statistics and Probability for Economics and Finance (SPEF) course at University of Bergamo (academic year 2022/23) taught by Prof. Raffaele Argiento, Prof. Michela Cameletti and Prof. Tommaso Lando. R is a great programming language especially designed for statistical analysis and data visualisation. The SPEF 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 … Read more →

# Language and sensorimotor simulation in conceptual processing: Multilevel analysis and statistical power

## by Pablo César de Juan Bernabéu

Research has suggested that conceptual processing depends on both language-based and sensorimotor information. In this thesis, I investigate the nature of these systems and their interplay at three levels of the experimental structure—namely, individuals, words and tasks. In Study 1, I contributed to a multi-lab replication of the object orientation effect, which has been used to test sensorimotor simulation. The effect did not appear in any of the 18 languages examined, and it was not influenced by individual differences in mental rotation. Next, in Study 2, we drew on three existing data sets that implemented semantic priming, semantic decision and lexical decision. We extended these data sets with measures of language-based and vision-based information, and analysed their interactions with participants’ vocabulary size and gender, and with presentation speed. The analysis had a conservative structure of fixed and random effects. First, we found that language-based information was more important than vision-based information. Second, in the semantic priming study—whose task required distinguishing between words and nonwords—, both language-based and vision-based information were more influential when words were presented faster. Third, a ‘task-relevance advantage’ was identified in higher-vocabulary participants. Specifically, in lexical decision, higher-vocabulary participants were more sensitive to language-based information than lower-vocabulary participants, whereas in semantic decision, higher-vocabulary participants were more sensitive to word concreteness. Fourth, we demonstrated the influence of the analytical method on the results. Last, we estimated the sample size required to investigate various effects. We found that 300 participants were sufficient to examine the effect of language-based information in words, whereas more than 1,000 participants were necessary to examine the effect of vision-based information and the interactions of both former variables with vocabulary size, gender and presentation speed. This power analysis suggests that larger sample sizes are necessary to investigate perceptual simulation and individual differences in conceptual processing. Read more →

# MLFE R labs (2023 ed.)

## by Prof. Michela Cameletti & Tutor Rasoul Samei

Notes for the R labs of the MLFE course @ Unibg […] You are reading the lecture notes of the R labs for the Machine learning for Economics (MLFE) course at University of Bergamo (academic year 2022/23). The MLFE course is the second module of the Coding for Data Science course. The MLFE R labs are designed for students who already have some experience with R programming thanks to the first module of the Coding and Machine Learning course. Click here and here to access the R lab notes of the first module regarding introduction to R language and the tidyverse package. Enjoy the journey! … Read more →

# AI and Machine Learning For Finance 2022/23

## by Michela Cameletti

Notes for the R labs of the AIMLFF course @Unibg […] You are reading the lecture notes of the R lectures for the AI and Machine Learning for Finance (AIMLFF) course at University of Bergamo (academic year 2022/23). See here for more details. In this notes R programming language for data science will be introduced (with respect to data manipulation, data visualization and communication and implementation of machine learning methods). For this part I suggest the following on-line book: Enjoy the journey! In the following lecture notes, this font (with grey background) represents R code. The … Read more →

# Curso: R para análisis de datos

## by Diana García Cortés

Contenido del curso: R para análisis de datos […] Este libro contiene las notas desarrolladas para acompañar el curso de “R para análisis de datos”. Pretende ser un compendio de anotaciones de los temas tratados, con la finalidad de que las participantes cuenten con material de apoyo y consulta. No pretende ser una fuente exhaustiva sobre el uso de los paquetes de tidyverse ya que para eso existen excelentes recursos como: R for Data Science [1] y su versión en español: R para ciencia de datos [2]. Este contenido se encuentra en … Read more →

# Generalized Linear Mixture Model

## by Ying Lu and Marc Scott

This is a minimal example of using the bookdown package to write a book. set in the _output.yml file. The HTML output format for this example is bookdown::gitbook, [...] This is a course in advanced statistical techniques that covers generalized linear models and extensions that are commonly used in health and policy research. Assuming a strong foundation in the general linear model (linear regression and ANOVA) and exposure to the linear mixed model (a.k.a. multilevel models), this course focuses on data analysis that utilizes models for categorical, discrete or limited outcomes, some ... Read more →

# R 语言学习笔记

## by 黄湘云

R 语言学习笔记 […] 本书采用 知识共享署名-非商业性使用-禁止演绎 4.0 国际许可协议 许可，请君自重，别没事儿拿去传个什么新浪爱问、百度文库以及 XX 经济论坛，项目中代码使用 MIT 协议 开源 本书 R Markdown 源文件托管在 Github 仓库里，本地使用 RStudio IDE 编辑，bookdown 组织各个章节的 Rmd 文件和输出格式，使用 Git 进行版本控制。每次提交修改到 Github 上都会触发 Travis 自动编译书籍，将一系列 Rmd 文件经 knitr 调用 R 解释器执行里面的代码块，并将输出结果返回，Pandoc 将 Rmd 文件转化为 md 、 html 或者 tex 文件。若想输出 pdf 文件，还需要准备 TeX 排版环境，最后使用 Netlify 托管书籍网站，和 Travis 一起实现连续部署，使得每次修改都会同步到网站。最近一次编 … Read more →

# Multiple Membership Models: A tutorial

## by Laura Lambert

This is work done for a final project at JMU for the PSYC836 Hierarchical Linear Models course taught by Dr. Dena Pastor. It is intended to give a brief introduction to multiple membership multilevel models as well as a walkthrough of how to run such a model using the R2MLwiN package to interface with the MLwiN software. […] This is a fictional scenario and data set designed for the sole purpose of illustrating the coding and interpretation of multiple membership models using the R2MLwiN package. These data were simulated by myself, and were designed to loosely resemble a population of … Read more →

# MATH1006 Calculus

## by Daniel Cavey

This is the 2021 update of the MATH1006 lecture notes. […] TO DO Functions of Several Variables … Read more →

# Handling, Measuring, Estimating and Visualizing Migration Data in R

## by Guy J. Abel, James Raymer, Ellen Kraly

In many countries and regions, migration is becoming or already is the largest component of population change and important mechansim for both social and economic change. However, migration data is often of poor quality, missing or provided without disaggregation. Methods to estimate migration flows have been developed by demographers and other researchers to help address shortfalls and provide a platform to better understand patterns, trends and consequences. This manaul explores methods for measuring, estimating and visualising migration flow data, and their implementation in R. Readers will become familiar with useful R functions for handling migration data, a range of measures to summarise and compare migration systems, common estimation methods to overcome inadequate or missing migration data and recently developed methods to visualize complex migration patterns. While plenty of code samples and exercises are provided throughout the manual to build up the readers experience, some prior knowledge is required on how to handle and plot data using the tidyverse set of R packages. Read more →

# Bloomberg

## by Rob Hayward

This is an introduction to Bloomberg […] This is an introduction to using Bloomberg. It is a work in progress. Please let me know if you seen any typos, errors or omissions. You can also contribute to this project on github. You can contact me at rh49@brighton.ac.uk. Thanks to Timothy Crack from the University of Otago for pointing out some errors. Timothy has an excellent case study that uses the Bloomberg terminal for an Applied Investments case. You can find the details here: Bloomberg Equity Screening (EQS) Exercise: Benjamin Graham Value Investing There is an overview of the history of … Read more →

# 落叶新生——广予短篇小说自选集(2017-2022)

## by 广予

广予短篇小说集(2017-2022) […] 2017年上海的夏天，与友人在隐溪闲聊中，有了第一个故事的灵感。如今，即使在波士顿的寒冬里写下这行字， 但仍能感受到皮肤的灼烧，传说这是一百三十七年来上海最热的一年。 彼时的我辞去了工作，游荡于福州路的书城和上海的各个角落，走累了，在咖啡馆里坐下写字写代码。 五年前的自己，希望投身于人工智能的洪流中，去了大洋彼岸。离开前，前尘往事，涌上心头 便有了《彼此》。 以后的每一年，都有写故事的冲动，我想述说大时代下小人物的挣扎与思考。五年来的每一年，自己 都感恩会遇到有趣的人，去不同的地方，拉拉杂杂，在上海、北京、伊萨卡、纽约、波士顿、哥伦布的 街边、树下、瀑布边、酒吧里，我把零 … Read more →

# Implementing a Turing machine in R

## by Frigg Nøhr

In this bookdown, a Turing machine is implemeted and some example programs are presented. Then, a function for creating animated gifs of a Turing machine is implemented, and we see some concrete examples on such gifs, using the already defined example programs. […] This is a bookdown created using rmarkdown. Code cannot be run directly in the book, but all necessary code is available so you can run it in your own R-session. If you want to try playing with the implemented functions or running some example programs yourself, remember to run all necessary functions, so you have them in your … Read more →

# Machine Learning-based Causal Inference Tutorial

## by Golub Capital Social Impact Lab

This is a tutorial on machine learning-based causal inference. […] This tutorial will introduce key concepts in machine learning-based causal inference. It’s an ongoing project and new chapters will be uploaded as we finish them. Topics currently covered: Please note that this is currently a living document. If you find any issues, please feel free to contact Undral Byambadalai at undralb@stanford.edu. The “changelog” below will keep track of major updates and additions. We’ll illustrate key concepts using snippets of R code. Each chapter in this tutorial is self-contained. You can download … Read more →

# _main.knit

## by 吳榮彬

This is a book. […] 我先談談為什麼書名取為「站穩小數據邁向大數據」。 不瞞各位讀者看官，第一次聽聞大數據，真的不懂。買了幾本書，跟其他師長來來回回多次口語激辯，稍微懂一些。但還是矇懞懂懂。最後，歸咎起來其實是「沒感覺」。 有人用「大、快、雜、疑」四個字描述什麼是「『大』數據」。正當全世界如火如荼、大啖大數據的各種傳聞之際，這世界出現了幾本名為「『小』數據」的著作。 聽過、聞過「大」，以為「小」是「大」的反義、以為「小數據」談的是放得進統計學課本的數據。如果是這樣的體悟，面對「大、快、雜、疑」的「大數據」，那「小數據」豈不就是「小、慢、純、信」嗎？ 但是，讀過那幾本「小數據」大作後，發現「小 … Read more →

# Impacts of Wetlands on Vegetation Recovery in Post-Fire Landscape: Hayman Fire Case Study

## by Alex Merklein & Ethan Choate

The HTML output format for this is bookdown::gitbook, […] This is a book written in R Markdown and analyzes NDVI values for multiple sites within the Hayman Fire perimeter. Render book Build the book from the R … Read more →

# Fundamentals of Collecting and Analyzing Baseball Data

## by jjovanovic

Fundamentals of Collecting and Analyzing Baseball Data […] This book is an introduction to coding for baseball analytics. It would be most helpful if you have a basic understanding of R. Here a some resources: The first three chapters are about acquiring data. Lahman: the Lahman package contains several data frames about players, teams, pitching, hitting, fielding, and more. The version of the Lahman package used throughout this guide has data from 1871 to 2021. FanGraphs: this chapter is about data collected from the FanGraphs website or through an R package. During the midst of this … Read more →

# R语言在心理学研究中的应用: 从原始数据到可重复的论文手稿

## by 胡传鹏

课程bookdown […] 第一讲：为什么要学习R（3学时） 1.1 R在心理科学及社会科学中的运用 1.2 R语言使用的示例展示 1.3 课程安排 1.4 如何学好这门课 第二讲：如何开始使用R:（3学时） 2.1 要解决的数据分析问题简介[介绍我们的数据和拟解决的问题，对比R和传统flow] 2.1 如何安装？ 2.2 如何方便使用？Rstudio的安装与界面介绍 第三章：如何导入数据（3学时） 3.1 路径与工作目录 3.2 读取数据 3.3 了解R里的数据 （R语言中的对象） 第四章：如何清理数据一 R语言编程基础（3学时） 4.1 R对象的操控 4.2 逻辑运算 4.3 函数 第五章：如何清理数据二 数据的预处理（3学时） 5.1 数据预处理准备 5.2 数据预处理的基本操作 5.3 数据预处理的进阶操作 … Read more →

# Notițe pentru curs

## by Rodica Ioana Lung

Prefață | Notițe pentru cursul de Software Statistic: Introducere în limbajul de programare R […] Suportul acesta de curs are scopul de a prezenta o introducere în limbajul de programare R si RStudio. Este destinat în special studenților anului 2 SPE. Pentru a putea folosi R aveți nevoie să instalați (Aprilie 2023): Limbajul R se instaleaza de la: www.r-project.org R Studio se instaleaza de la: https://posit.co/download/rstudio-desktop/ R Markdown notebook Celule noi Adăugați o celulă nou apăsând butonul Insert Chunk sau Ctrl+Alt+I. O celulă R se rulează plasând cursorul în interiorul ei și … Read more →

# Quantitative Methods Using R

## by Subash Parajuli

This book covers practical worked out examples which you can easily apply to your data set and also includes a discussion on how the example is working. We will cover descriptive and basic inferential statistics, including graphs, frequency distributions, central tendency, dispersion, probability, hypothesis testing, tests of mean differences, correlation, simple regression, and chi-square tests. This book is designed to facilitate graduate students of Educational Psychology to develop their knowledge and understanding of various statistical concepts and procedures in R programming as a … 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: This book will likely be updated and revised as the semester progresses. Feel free to read ahead, just don’t be surprised if something … Read more →

# Mengfei NeuroBook

## by Mengfei Cai

Neuroimaging is fascinating. […] Welcome to Mengfei’s NeuroBook. I am Mengfei Cai and obtained my PhD degree from Radboud University Medical Center (Radboudumc) on 19th April, 2022, supervised by Prof. FrankErik de Leeuw, Prof. Marco Duering, and Dr. Anil Man Tuladhar. My Doctorate dissertation was entitled “Temporal dynamics of cerebral small vessel disease: A motor perspective”, with the aim to investigate how cerebral small vessel disease is involved into the motor functioning based on the well-known RUN DMC prospective cohort study. Temporal dynamics of cerebral small vessel disease: A … Read more →

# 官方媒体话语下的民族主义形成机制——基于Amos的实证分析

## by 黄国政、黄婉岚、肖奕、李晓琳、林彦捷、朱雨彤

这是我第一次用R的bookdown功能制作图书式的课程展示，输出格式为bookdown::gitbook和bookdown::pdf_book. […] “工欲善其事，必先利其器”…… ——《论语·卫灵公》 这是我第一次使用R的bookdown功能制作图书式的课程展示，目的是为了使得模型制作过程更加有条理、规整和具有可重复性，方便老师指出问题所在。由于知识储备的有限和时间限制，今天，我们小组的结构方程模型汇报将以设计、操作与验证过程的展示为主，理论阐释部分将在后续论文的写作中进一步完善。 我们小组以2019年中国人民大学政治学马得勇教授收集的2019年网民意识调查内容为数据库，将“官方媒体”作为自变量，“规则型人格”与“威权观念”作为两个中介变量，“民族主义”作 … Read more →

# Applied Bayesian Modeling and Prediction

## by Trevor Hefley

Course notes for Applied Bayesian Modeling and Prediction (STAT 768) at Kansas State University for Spring 2023 semester […] This document contains the course notes for Applied Bayesian Modeling and Prediction (STAT 768) at Kansas State University. During the semester we will cover the basics such as the Bayesian model development, implementation, checking, and inference/prediction. We will focus on formulating and implementing bespoke Bayesian models that are tailored to answer scientific questions or applied problems ranging from environmental management to … Read more →

# BS2010: Bioimaging

## by Kevin Fo

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] This is a sample book written in Markdown. You can use anything that Pandoc’s Markdown supports; for example, a math equation \(a^2 + b^2 = ... Read more →

# Python

## by Abdoul Aziz Berrada

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] L’écriture de programmes (ou programmation) est une activité très créative et gratifiante. Vous pouvez écrire des programmes pour de nombreuses raisons, qu’il s’agisse de gagner votre vie, de résoudre un problème difficile d’analyse de données, de vous amuser ou d’aider quelqu’un d’autre à résoudre un problème. Ce cours part du principe que tout le monde doit savoir programmer, et qu’une fois que vous saurez programmer, vous ... Read more →

# 2020级创新班R课程内容总集（修改版）

## by 广州大学社会学系2020级创新班、黄国政

2020级创新班R课程内容总集（修改版） […] 这是广州大学社会学系2020级创新班R课程内容总集。在谢颖老师的要求和指导下，本书作为全班2021-2022第一学期的期末考核内容被整合。本书包含了这一学期R语言课程的各个模块内容，供全班同学及有需要的朋友查阅使用。 … Read more →

# Probability Taster Session

## by Prof Peter Neal

Lecture Notes for Probability Taster Session […] Welcome to the free Probability Taster Session for the MSc in Statistical Science (Distance Learning) at the University of Nottingham. For further details concerning the MSc Statistical Science (Distance Learning), please visit the programmes admissions … Read more →

# Financial Data Science

## by Prof. Dr. Ryan Riordan & Teaching Assistants

This bookdown contains the teaching materials for the projectcourse Financial Data Science at the LMU Munich. The files have been set up by Lisa Kaminski. [...] Here you will find the course pages for the projectcourse Financial Data Science. The course is offered regularly in the summer term and aims at providing in-depth knowledge about the programming language Python and its most important libraries for data analysis. Furthermore, the course introduces the topic of database management and the process of retrieving, aggregating and manipulating data using SQL. Students will learn to ... Read more →

# PSY-401017 R Workshop

## by Dr Jim Grange

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] This is a sample book written in Markdown. You can use anything that Pandoc’s Markdown supports; for example, a math equation \(a^2 + b^2 = c^2\). Each bookdown chapter is an .Rmd file, and each .Rmd file can contain one (and only one) chapter. A chapter must start with a first-level heading: # A good chapter, and can contain one (and only one) first-level heading. Use second-level and higher headings within chapters ... Read more →

# R pour l’économétrie

## by Abdoul Oudouss Diakite

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::bs4_book, set in the _output.yml file. [...] Au cours des dernières années, le langage de programmation statistique R est devenu une partie intégrante des programmes des cours d’économétrie. Nous avons régulièrement constaté qu’une grande partie des étudiants, en particulier dans nos cours d’introduction à l’économétrie de premier cycle, n’ont jamais été exposés à aucun langage de programmation et ont donc des difficultés à s’engager seuls dans l’apprentissage ... Read more →

# Jonny Tang’s Notebook

## by Jonny (Jingzhe) Tang

Jobs […] 本笔记直接RStudio操作build，再publish到bookdown网站。 [ \lim_{x\to 0} x*sin(\tfrac{1}{x}) ] 广义的组合数学（Combinatorics）相当于离散数学，狭义的组合数学是组合计数、图论、代数结构、数理逻辑等的总称。总之，组合数学是一门研究可数或离散对象的科学。 B站找到“乐乐课堂” … Read more →

# 结构方程模型的R实现(草稿)

## by Plumber Dong

《结构方程与建模的而原理与应用》（第二版）配套R代码 […] 这是一本用R语言进行 结构方程建模 的案例集。所涉案例均来自《结构方程与建模的原理与应用》（第二版），作者是邱皓政和林碧芳。 本册不涉及关于结构方程的原理和具体细节，只是书中所涉案例在R语言中的实现。当然，如果有必要的话，我会辅之以一些与实操紧密相关的理论说明。至于具体的模型结构、参数解释和估计方法，还是请读者参看原书。 本册主要使用了两个软件包（其中，lavaan是建模的核心包，该包的具体细节可以查询其官网）： … Read more →

# Statistical Thinking: A Simulation Approach to Modeling Uncertainty (UM Spring 2023 edition)

Statistical Thinking: A Simulation Approach to Modeling Uncertainty (UM Spring 2023 edition) […] 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: Peck, F.A., Zieffler, A., & Catalysts for Change. (2023). Statistical Thinking: A simulation approach to uncertainty (University of Montana, Spring 2023 ed.). https://bookdown.org/frederick_peck/statistical_thinking_um_spring_2023_ed/ The work to create the … Read more →

# Espaço Amostral e Eventos

## by Rosineide da Paz

Espaço Amostral e Eventos […] Uma probabilidade é uma medida da incerteza acerca de fenômenos gerados a partir de experimentos aleatórios. Um experimento é aleatório quando não é possível determinar o seu resultado antes que o mesmo seja realizado. No entanto, os resultados possíveis para muitos experimentos aleatórios podem ser determinados antes mesmo da realização do experimento. Um exemplo é o lançamento de uma moeda. Antes de lançar uma moeda, não se pode prever a face que estará para cima quando a moeda estiver estática no chão. Contudo, é sabido que a face será uma entre as duas … Read more →

# Conducting Research Seminar Workbook

## by Edward Stanhope

This is the seminar handbook for conducting research which outlines the weekly tasks for each seminar […] This module aims to develop your knowledge and understanding of scientific experimental trials, including observational studies (cohort, case-control and cross-sectional) and randomised and non-randomised controlled trials. You will learn project management techniques, core methodological features of experimental trials and gain experience in conducting primary research. You will also be exposed to the range of analytical techniques used to generate results and aid in the interpretation … Read more →

# Machine Learning: Teoría y Práctica

## by victor_morales

Machine Learning: Teoría y Práctica […] Este documento está en construcción. Tiene por objetivo recoger material necesario para impartir un curso aplicado de técnicas de Machine Learning. Esta primera versión realiza una revisión detallada de aprendizaje supervizado, no supervizado e incluye una introducción al procesamiento de lenguaje natural (NLP). En la medida de lo posible el documento trabaja con datos de Ecuador. Además, el software utilizado para su desarrollo es R. Series de Tiempo Econometría Espacial Métodos de evaluación de … Read more →

# IRC食用指南

## by Austin Lee

IRC食用指南 […] 互联网中继聊天（IRC）是一个基于文本的即时消息聊天系统。IRC是为论坛频道（称为channels）中的小组交流而设计的，但也允许通过私人消息进行一对一交流，以及聊天和数据传输，包括文件共享。 互联网中继聊天是作为一种应用层协议来实现的，以便于以文本的形式进行通信。聊天过程在客户端-服务器网络模型上工作。用户使用客户端连接到IRC服务器，该客户端可以是网络应用程序、独立的桌面程序，也可以嵌入到较大程序的一部分中，IRC服务器可能是较大IRC网络的一部分。用于连接的程序示例包括Mibbit、IRCCloud、KiwiIRC和mIRC。 … Read more →

# STA 135 Notes (Murray State)

## by Christopher Mecklin

This are notes for STA 135 at Murray State University for students in Dr. Christopher Mecklin’s class. […] These notes are meant to supplement, not replace your textbook. I will occasionally cover topics not in your textbook, and I will stress those topics I feel are most important. My definition of statistics: Statistics is the attempt to use qualitative and quantitative data in order to: When we collect data, we will often organize the data into a table where the rows represent cases or units, which are called subjects or respondents when they are humans, and the columns represent … Read more →

# Fundamentos de Minería de Datos y Big Data (I) y (II)

## by Pablo Arés, Jorge Herrera

Este es el material didáctico para la asignatura. Es un complemento a las clases y a la bibliografía recomendada. […] Si observas alguna errata o tienes algún comentario, escribe a jorge.herrera1@ceu.es … 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 →

# Brenda Animalaria

## by DGP

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] This is a sample book written in Markdown. You can use anything that Pandoc’s Markdown supports; for example, a math equation \(a^2 + b^2 = c^2\). Each bookdown chapter is an .Rmd file, and each .Rmd file can contain one (and only one) chapter. A chapter must start with a first-level heading: # A good chapter, and can contain one (and only one) first-level heading. Use second-level and higher headings within chapters ... Read more →

# Workflow for Refining ClimateNA Temperature Predictions

## by Brendan Casey

Workflow for Refining ClimateNA Temperature Predictions […] Here are summaries of boosted regression trees that predict differences between ClimateNA temperature predictions and micro-climate conditions. Temperature offset layers and project spatial data can be viewed at https://bgcasey.users.earthengine.app/view/climateoffsets. Code and a description of the project’s workflow can be found at https://github.com/bgcasey/climate_downscaling. … Read more →

# R Interest Group

## by Tyler R. Pritchard

This is a brief overview of our group’s content. […] This brief document will outline the ongoing topics in our Psychology Department R Interest Group. It can be used for those who missed a week or who are considering joining. … 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. Exemplo.1.1 Como ilustração dessa importância, considere a variável X=“gosto pela área de exatas” a partir dos dados apresentados na Tabela … Read more →

# R for Non-Programmers: A Guide for Social Scientists

## by Daniel Dauber

This book is a springboard into the world of R without having to become a full-fledged programmer or possess abundant knowledge in other programming languages. This book guides you through the most common challenges in empirical research in the Social Sciences and offers practical and efficient solutions. Each chapter is dedicated to a common task we have to achieve to answer our research questions. In addition, it provides plenty of exercises and in-depth case studies based on actual data. Read more →

# Replication of The Cointegrated VAR Model

## by Markus Mößler

This book contains the replication of the empirical analysis of The Cointegrated VAR Model of Katarina Juselius using R. […] This book contains the replication of the empirical analysis of The Cointegrated VAR Model of Juselius (2006) using … Read more →

# Statistical Modeling II: SDS383D

## by Antonio R. Linero

These notes cover the second semester in a two-semester sequence on statistical modeling. It focuses on constructing, drawing conclusions from, and critiquing probabilistic models. Planned topics include generalized linear models, the bootstrap, hierarchichal models, nonparametric estimation, and generalized estimating equations. [...] In this collection of notes, we briefly outline the main thrust of this course by discussing (at a high level of generality) the topic of probabilistic modeling. Throughout this course we will focus on the application of probabilistic modeling with an eye ... Read more →

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

## by David Klotz

A book created with bookdown. […] This is a continuation of my ongoing quest to translate all the Roman inscriptions from Esna temple. The previous two volumes are now complete, and can be found here: Esna II and Esna III. I will continue to make changes and updates to those, including some desperately needed proof-reading. Esna IV covers the architraves along the ceiling of the pronaos. The ceiling of the temple was conceived in antiquity as a replica of the sky, so constellations and other astronomical figures were projected over this space. As such, many of the texts are captions to the … Read more →

# blogdown: Creating Websites with R Markdown

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

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

# My Friend Mili

## by Selin Türkkan

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

# Teachvatory

## by Gonzalo Jara

Welcome | Teachvatory documentation. […] This is a small reference book to learn how to install, edit, and deploy the app Teachvatory. Teachvatory is an app created by Dan Levy and a group of his former students and teaching fellows. Its goal is to provide an easy visualization of student’s performance in the courses that Dan teaches. This book has 5 chapters that covers most of the development process for the app: The first chapter explains how to download and install the app locally. The second chapter explains the app architecture, which follows the R package convention and uses the … 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 →

# STAT 350 Handouts

## by Kevin Ross

Kevin Ross Handouts containing examples, exercises, and notes covering selected topics from Cal Poly STAT … Read more →

# Desarrollo de herramientas para el manejo de inventarios de manera fácil e intuitiva

## by Juan Felipe Roa Melo && Ciro Alberto Amaya

Desarrollo de herramientas para el manejo de inventarios de manera fácil e intuitiva […] El propósito de este proyecto de grado es implementar nuevas herramientas computacionales para facilitar el manejo de inventarios con diferentes modelos. Estas herramientas estarían disponibles para el uso de empresas, estudiantes y personas que requieran de modelos que ayuden a un mejor control de stocks, cantidad económica de pedido o producción. El proyecto de grado consiste principalmente de dos elementos: paquete de inventarios InvControl en el lenguaje de programación R y el libro guía Inventory … Read more →

# Research Methods

## by José Becerra, MD, MPH, FACPM

Analytic epidemiology research methods applied to astrological research for example, a math equation (a^2 + b^2 = c^2). Research community in general Astrology research community in particular You can render the HTML version of this example book without changing anything: Find the Build pane in the RStudio IDE, and Click on Build Book, then select your output format, or select “All formats” if you’d like to use multiple formats from the same book source files. As you work, you may start a local server to live preview this HTML book. This preview will update as you edit the book when you … Read more →

# SAS Tutorial

## by Hao Sun

SAS Tutorial … Read more →

# Survey Design and Analysis

## by Michael Foley

Survey design and analysis using R. […] This is a compilation of notes from my study of survey design and analysis. I completed Data Camp courses Survey and Measurement Development in R (Mount, n.d.) and Analyzing Survey Data in R (McConville, n.d.), then moved on to Thomas Lumley’s Complex Surveys: a guide to analysis using R (Lumley 2010). The following resources are also helpful. Only simple random sample survey designs can be analyzed with with normal statistical test functions - complex survey designs require special treatment. The survey package (Lumley 2021) handles both simple and … Read more →

# Hello Chris, this is a test book

## by Ethan McQuaid

This is a minimal example of using the bookdown package to write a book by Ethan McQuaid. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] This is a sample book written in Markdown by yours truly at 11pm at night. You can use anything that Pandoc’s Markdown supports; for example, a math equation \(a^2 + b^2 = c^2\). Each bookdown chapter is an .Rmd file, and each .Rmd file can contain one (and only one) chapter. A chapter must start with a first-level heading: # A good chapter, and can contain one (and only one) first-level heading. Use ... Read more →

# Introductory statistics skills pack

## by Glenna Nightingale and Michael Allerhand

This book provides basic material for students seeking to learn statistics in an R environment, […] This skills pack introduces statistical concepts to beginners within the framework of R. Examples of analyses and R code are provided as well. Dr. Glenna Nightingale PhD Statistics research scientist (public health, epidemiology, spatial ecology, computational social science). Dr. Mike Allerhand, PhD Statistics -since 2009 Statistician at the Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh. Since 2018 Statistical Consultant in the Statistical Consultancy Unit … Read more →

# Bayesian Linear Regression Tutorial

## by Xiang Chen, Valentina Arputhasamy, Daniel Zhou, Sudipto Banerjee

This is a first tutorial for Bayesian Linear Regression assembled in book form. […] This is a tutorial for Bayesian Linear Regression assembled in book … Read more →

# Statistical Inference

## by Michael Foley

Notes cobbled together from books, online classes, etc. to be used as quick reference for common work projects. […] These are notes from books, classes, tutorials, vignettes, etc. They contain mistakes, are poorly organized, and are sloppy on fundamentals. They should improve over time, but that’s all I can say for it. Use at your own risk. The focus of this handbook is statistical inference, including population estimates, group comparisons, and regression modeling. Not included here: probability, supervised ML, unsupervised ML, text mining, time series, survey analysis, or survival … Read more →

# GEOG1400 Digital Geographies - RStudio Practicals

## by Lex Comber

This contains materials to support the University of Leeds GEOG1400 module, delivered by Lex Comber […] This is an on-line book written to support the practicals for the GEOG1400 Digital Geographies module, delivered by Lex Comber of the School of Geography, from the University of Leeds. It is based on An Introduction to Spatial Analysis and Mapping (Brunsdon and Comber 2018 (link here) which provides a foundation for spatial data handling, GIS-related operations and spatial analysis in R.) The chapters in this book contain an individual Practical with a discrete set of activities, and … Read more →

# STM1001: Introduction to Machine Learning in R

STM1001 Machine Learning (Data Science Stream) […] Welcome to the final content supplement for the Data Science stream of STM1001. Throughout the semester, as we cover different aspects of statistics and data science, supplementary documents such as this one will be used to enhance your learning experience. This document contains material to support your learning as you complete Computer Labs 9B, 10B and 11B of the Data Science stream. We recommend that you take a few minutes to browse the different sections in this document before Computer Lab 9B. We suggest that you aim to read through … Read more →

# Geographic Data Science with R: Visualizing and Analyzing Environmental Change

## by Michael C. Wimberly

A book example for a Chapman & Hall book. […] We live in a time of unprecedented environmental change, driven by the effects of fossil fuels on the Earth’s climate and the expanding footprint of human land use. To mitigate and adapt to these changes, there is a need to understand their myriad impacts on human and natural systems. Achieving this goal requires geospatial data on a variety of environmental factors, including climate, vegetation, biodiversity, soils, terrain, water, and human populations. Consistent monitoring is also necessary to identify where changes are occuring and … Read more →

# 🃏 Probability I

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

Course Materials […] Hello and Welcome to this introductory Lecture in Probability! These Course Notes are a complement to the Lecture Probability I. The Lecture is divided in the following Chapters, and each Chapter contains several themes. The Lectures will take place in the room MR280 on Thursday from 12h15 to 14h00. For those students who cannot attend the lectures, a recording will be available on Mediaserver. Seminars will take place on Thursday from 16h15 to 18h00 in the room MS130. The seminars are not recorded. Every two week (starting from the third one), tutorials will take place … Read more →

# A Brief Introduction to Bayesian Inference

## by Johnny van Doorn

A brief introduction to Bayesian concepts, based on a beer-tasting experiment. […] This book is still a work in progress If you encounter any errors/issues, you can reach me here. This booklet offers an introduction to Bayesian inference. We look at how different models make different claims about a parameter, how they learn from observed data, and how we can compare these models to each other. We illustrate these ideas through an informal beer-tasting experiment conducted at the University of Amsterdam.1 A key concept in Bayesian inference is predictive quality: how well did a model, or … Read more →

# Statistics Taster Session

## by Prof Peter Neal

Lecture Notes for Statistics Taster Session […] Welcome to the free Statistics Taster … Read more →

# Bioestadística

## by Danna Cruz

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

# Learn Mathematics and Computer Science with Isabelle

## by Aleksadner Mendoza

Learn Mathematics and Computer Science with Isabelle […] The goal is to develop deep understanding in mathematics while at the same time also learn Isabelle and its standard library. I couldn’t find any existing resources like this so I decided to write one myself. Our goal is to first learn the basics of Isabelle without getting too deep into irrelevant details. Then we should move on to studying actual mathematics as quickly as possible. Any remaining details of Isabelle will be introduced as needed. We will go though all of undergradute maths courses (and touch on graduate level topics) … Read more →

# Разработка telegram ботов на языке R

## by Алексей Селезнёв

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

# The R Researcher’s companion v. 0.01

## by David Randahl

This is an accompanying book for the R workshops for the Methods II and Methods II Advanced courses in the Master’s programme in peace and conflict studies at Uppsala University. […] Welcome to this draft online edition of The R Researcher’s companion. This is a project that has been in the works for a long time and is finally, hopefully, coming together. In this ‘book’ (really, it is just a collection lecture and workshop notes) my ambition is to convince you that R is not an obstacle to be overcome. Rather, I want to convince you that knowing R is a gateway to a fantastic new world of … Read more →

# Project Documentation

## by Brendan Casey

This is document walks through the analyses I performed for this research. […] Here we provide templates and resources for documenting your research from within your rProject. 4_bookdown_readme: A template for creating a markdown readme using bookdown 5_bookdown_html: A template for creating a project html document (https://bookdown.org/bgcasey/project_documentation/) 6_bookdown_pdf: A template for creating pdf documents 7_markdown_manuscript: A template for writing your manuscript via … Read more →

# Machine Learning Part II

## by Dr. Hailiang Du

These are the course notes for the Machine Learning module (MATH42815) at Durham University. […] Welcome to the material for the second half of the Machine Learning module (MATH42815) at Durham University. These pages consist of relevant lecture notes that will be updated as the course progresses. I would recommend that you use the HTML version of these notes (they have been designed for use in this way), however, there is also a pdf version of these notes. In this second half of the module, we will first look into the simple yet powerful tree-based models and then dive into the famous yet … Read more →

# Statistical modelling

## by Benjamin T. Martin

Statistical modelling […] This is an evolving set of lecture notes for the course From Data to … Read more →

# R语言统计入门

## by Xiaolan Wan

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. ... Read more →

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

## by A Solomon Kurz

This book is an attempt to re-express the code in the second edition of McElreath’s textbook, ‘Statistical rethinking.’ His models are re-fit in brms, plots are redone with ggplot2, and the general data wrangling code predominantly follows the tidyverse style. […] This ebook is based on the second edition of Richard McElreath’s (2020a) text, Statistical rethinking: A Bayesian course with examples in R and Stan. My contributions show how to fit the models he covered with Paul Bürkner’s brms package (Bürkner, 2017, 2018, 2022j), which makes it easy to fit Bayesian regression models in R (R … Read more →

# _main.knit

## by edicioneditorial_nal

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] Este es el sitio web para el libro digital Transformación Digital: experiencias colectivas publicado por Editorial Universidad Nacional de Colombia. Consulta el libro digital desde el portal del Repositorio Institucional - ... 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, 2022g), … 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, 2022i) when doing Bayesian regression in R. It’s just spectacular. I also prefer plotting with … Read more →

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

## by A Solomon Kurz

This ebook is an effort to connect 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 (2018) text, Introduction to mediation, moderation, and conditional process analysis: A regression-based approach, has become a staple in social science graduate education. Hayes’s work has been from a frequentist OLS perspective. This book is an effort to connect his work with the Bayesian paradigm. Herein I refit his … Read more →

# Bayesian Linear Regression

## by Xiang Chen, Dr. Sudipto Banerjee

This is a tutorial for Bayesian Linear Regressione. […] Theorem 1.1 (Bayes’ theorem) For events (A, B) and (P(B) \neq 0), we have [P(A\mid B) = \frac{P(B \mid A) P(A)}{P(B)}] We denote (U) as unknown parameters and (K) as known parameters. We call (P(U)) prior and (P(K|U)) likelihood. The Bayes’ theorem gives us the posterior distribution of unknown parameters given the known parameters [ P(U \mid K) \propto P(U) \cdot P(K \mid U)] Let (K = \left{y_{n \times 1}, X_{n \times p} \right}) and assume (y \sim N\left( X \beta, \sigma^{2} V\right)), where (V) is known and … Read more →

# Controle de Processos

## by Mediador e futuros engenheiros

Mediador e futuros engenheiros O problema do tanque agitado e aquecido sujeito à perturbações na pressão do fluido do sistema de troca de calor. Hipóteses H1. O tanque está bem isolado, de modo que calor transferido para as vizinhanças é negligenciavél; H2. O acúmulo de energia na parede do tanque e no sistema de resfriamento é insignificante em comparação com o acúmulo do líquido; H3. O tanque é bem misturado; H4. Propriedades físicas pode ser consideradas constantes; H5. O sistema está inicialmente no estado estacionário. A relação direta da variável de processo com a variável manipulada … Read more →

# HIPPA data breach incidents

## by mehdibarati22

This is an exploratory study of data breaches reported to HHS according to HIPPA … 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 →

# Introduction to Geographic Information System

## by Wanda Bodnar (Thames Estuary Partnership)

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::bs4_book, set in the _output.yml file. [...] This interactive online book provides an introduction to the world of geographic information system (GIS). At the end of each chapter references as well as free and paid courses are listed which will allow you to explore GIS ... Read more →

# The Social Covenant

## by Peter Lupu and Arthur Small

A book created with bookdown. […] The peaceful transfer of power from one legitimately elected regime to another is non-negotiable hallmark of democracy. In the United States this tradition has been honored in an unbroken chain from the very first transfer, in 1797, when George Washington willingly stepped down to hand the reins of the presidency to his elected successor, John Adams. Until January 6, 2021, when, shockingly, the chain snapped. === [Fill out the paragraph below after reviewing first-hand reports about the events of Jan. 6.] === January 6, 2021, was a singular event. But it … Read more →

# Introduction to International Relations

## by Yuleng Zeng

This is an undergraduate-level seminar on international relations. I started teaching this course at the University of Salzburg in 2022. The intention of maintaining this website is to facilitate my teaching and to keep track of the resources. Feel free to use this website for education purposes. If you see any errors or have suggestions, please do let me know (contact me). The syllabus of this class can be downloaded here: IntroIR. Please right click on the link and download or open it in a new tab. I will post the slides of each week … Read more →

# US Foreign Policy

## by Yuleng Zeng

This is a graduate-level seminar on US foreign policy. I started teaching this course at the University of Salzburg in 2020. The intention of maintaining this website is to facilitate my teaching and to keep track of the resources. Feel free to use this website for education purposes. If you see any errors or have suggestions, please do let me know. The syllabus of this class can be downloaded here: US foreign policy. Please right click on the link and download or open it in a new tab. Here you can find the slides for each … Read more →

# Design and Analysis of Experiments and Observational Studies using R

## by Nathan Taback

Online version of Design and Analysis of Experiments and Observational Studies using R […] This is the free website for Design and Analysis of Experiments and Observational Studies using R. A hardcopy of the book can be purchased from Routledge. This book grew out of course notes for a twelve-week course (one term) on the Design of Experiments and Observational Studies in the Department of Statistical Sciences at the University of Toronto. Students are senior undergraduates and applied Masters students who have completed courses in probability, mathematical statistics, and regression … Read more →

# BS2004: Molecular and Cellular Biology II

## by Kevin Fo

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] This is a bookdown site authored for the AY 2021 - 2022 edition of BS2004: Molecular and Cellular Biology ... Read more →

# Machine Learning: Unsupervised and Supervised Learning

## by Marc Scott

This is a minimal example of using the bookdown package to write a book. set in the _output.yml file. The HTML output format for this example is bookdown::gitbook, [...] Supervised and unsupervised machine learning, also known as classification and clustering, are important statistical techniques commonly applied in many social and behavioral science research problems. Both seek to understand social phenomena through the identification of naturally occurring homogeneous groupings within a population. Supervised learning techniques are used to sort new observations into pre- existing or ... Read more →

# Mixed-effects model and its application in neuroscience

## by Zhaoxia Yu, Michele Guindani, Steven F. Grieco, Lujia Chen, Todd C. Holmes, Xiangmin Xu

This is the online supplemental to accomany Yu Z, Guindani M, Grieco SF, Chen L, Holmes TC, Xu X. (2022) Beyond t-Test and ANOVA: applications of mixed-effects models for more rigorous statistical analysis in neuroscience research. Neuron. 110: 21-23. […] This is the online supplemental to accompany Yu Z, Guindani M, Grieco SF, Chen L, Holmes TC, Xu X. (2022) Beyond t-Test and ANOVA: applications of mixed-effects models for more rigorous statistical analysis in neuroscience research. Neuron. 110: 21-23. https://doi.org/10.1016/j.neuron.2021.10.030. The data used in this supplementary can be … Read more →

# Guide to Wise Investing

## by Junghoon Shin

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

# Cross-Platform Journalism: News use, content, and effects

## by Valerie Hase, LMU Munich

Cross-Platform Journalism - B.A. Seminar at LMU Munich, Fall 2022/2023 […] This online tutorial will accompany the seminar “Cross-Platform Journalism: News use, content, and effects”. It is part of the undergraduate course “Communication Studies” (LMU, Department of Media and Communication). At the moment, the course is expected to take place via in-person meetings every Tuesday 08:00-10:00 am in room B109, Edmund-Rumpler-Strasse 13. Please note that this may change in light of COVID-19 developments. You will find all necessary information on the seminar’s structure, important dates and … Read more →

# Toolbox CSS

## by Felix Lennert

This book is supposed to introduce the reader (i.e., you) into some fundamental techniques for computational social science research: acquiring online data, agent-based modeling, and text mining. […] Dear student, if you read this script, you are either participating in one of my courses on digital methods for the social sciences, or at least interested in this topic. If you have any questions or remarks regarding this script, hit me up at felix.lennert@ensae.fr. This script will introduce you to three techniques I regard as elementary for any aspiring (computational) social scientist: the … Read more →

# Inversión en Acciones para Principiantes

## by Jorge Condeña Llantoy

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] Este es el bookdown de Inversión en Acciones para Principiantes el cual se enfocará en brindar conceptos básicos sobre el mundo de la inversión en acciones de empresas a la vez que se introducirá herramientas de programación. Con la ayuda del software R, podremos extraer, tratar y analizar diferentes elementos necesarios para contar con una base sólida en cuanto a herramientas para realizar una propia lectura y discernimiento en el ámbito de la inversión en … Read more →

# Lab Manual for the Global Community Wellness Lab

## by Jordan D. Snyder, Psy.D.

This is the lab manual for the Global Community Wellness Lab at the University of Wisconsin, Parkside. […] Welcome to the Global Community Wellness Lab at the University of Wisconsin, Parkside! If you are reading our lab manual because you recently joined the lab, welcome! If you are a current member of the lab, frequently refer to our lab manual to refresh our guidelines, policies, platforms, among others. We also look forward to learning and researching together. We also welcome you to read this manual if you are looking for tips and tricks for your own manual. It’s also a work in … Read more →

# Введение в dplyr 1.0.0

## by Алексей Селезнёв

Серия видео уроков посвящённая обновлению dplyr 1.0.0.. […] dplyr - один из наиболее популярных пакетов, который реализует грамматику манипуляции данными в языке R. Официально первый релиз dplyr был выпещен в 2014 году, но пакет развивался, и первая стабильная версия с устоявшимся синтаксисом, под номером 1.0.0 была выпущена весной 2020 года. Этому релизу предшествовала серия статей, в которых Хедли Викхем описывал все нововведения в dplyr. Этот мини курс появился из 6 видео уроков снятых по этим статьям. В основе видео уроков лежат следующие статьи: Для прохождения курса вы уже должны … Read more →

# 交换代数与代数几何

## by 稻年

交换代数与代数几何的基本内容 […] 除非特别说明, 环都是指含幺交换环, 但不一定是整环, 也不一定是既约环, 甚至可能有相当多的烦人的零因子. 下面是一些打开方式： 代数几何中关心的拓扑空间只有两种 同时, (k = \overline{k}) 时, 我们认为 (\mathbb{A}^n = \Spec k[x_1,\ldots, x_n]), 因为我们有同胚 [\begin{align*} \Spec k[x_1,\ldots, x_n]&\cong\bb{A}^n \ (x_1-a_1, \ldots, x_n-a_n) &\mapsto (a_1,\ldots, a_n) \end{align*}] 即极大理想打到点, 闭集 (V(\fk{p})) 打到闭集 (Z(\fk{p}).) 为方便起见, 当我们用表达式 (\Spec A) 时, 默认 (A=\Spec … 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 →

# STM1001 Topic 6B (Science and Health)

## by Based on Chapters 8-10 of ''Scientific Research and Methodology'' by Peter K. Dunn (Dunn 2021)

STM1001 Topic 6B (Science and Health) […] In this topic, we will continue our discussion of internal validity, this time in the context of observational studies. We will then briefly consider the identification of study limitations, and procedures for collecting … Read more →

# STM1001 Topic 5B (Science and Health)

## by Based on Chapters 6 & 7 of ''Scientific Research and Methodology'' by Peter K. Dunn (Dunn 2021)

STM1001 Topic 5B (Science and Health) […] In this topic, we will introduce the concept of internal validity. Following this introduction, we will consider internal validity in the context of experimental … Read more →

# STM1001 Topic 3B (Science and Health)

## by Based on Chapter 3 of ''Scientific Research and Methodology'' by Peter K. Dunn (Dunn 2021)

STM1001 Topic 3B (Science and Health) […] In this topic, we will learn about different types of study designs, including descriptive, observational, and experimental studies. We will also consider external and internal … Read more →

# 交换代数选讲

## by 稻年

交换代数选讲 […] (\newcommand\AA{\mathcal{A}}) (\newcommand\bbz{\mathbb{Z}}) 此主要为课堂笔记, 参考资料有 (Bruns and Herzog 1998)1 (Spaltenstein 1988) (Riehl 2014) 介绍几类交换代数和代数几何都关心的环, 例如 Cohen-Macaulay 环, Gorenstein 环, 正则环 (regular ring) 以及完全相交环 (complete intersection ring). 主要关心仿射代数 (affine algebra) 和分次代数 (graded algebra), 顺便会介绍相关的一些同调代数. 此外还会讨论交换代数中一些和数论中 Modularity 提升定理密切相关的内容, 例如 能够表示伽罗瓦表示的模空间的环 由作用在模形式空间上的 Heck 算子生成的环 据说其背景为怀尔斯借由 … Read more →

# STM1001 Topic 4B (Science and Health)

## by Based on Chapters 7-10 of ''Scientific Research and Methodology'' by Peter K. Dunn (Dunn 2021)

STM1001 Topic 4B (Science and Health) […] In this topic, we will continue our discussion of internal validity. We will then briefly consider the identification of study limitations, and procedures for collecting … Read more →

# STM1001 Topic 3B (Science and Health)

## by Based on Chapters 3, 5, and 6 of ''Scientific Research and Methodology'' by Peter K. Dunn (Dunn 2021)

STM1001 Topic 3B (Science and Health) […] In this topic, we will begin by learning about different types of study designs. We will then discuss sampling considerations (external vailidity). Finally, an overview of internal validity will be … Read more →

# Fundamentals of Wrangling Healthcare Data with R

## by J. Kyle Armstrong

Fundamentals to Data Wrangling and programming with R version 4.2.2; examples with Health Related Data […] Data Wrangling is the process of gathering, selecting, transforming and mapping “raw data” into another format with the intent of making it more appropriate and valuable for a variety of downstream analytic purposes. The Primary goal in data wrangling is to assure quality and useful data. Also known as “data cleaning,” “data processing,” or “data munging”; many professionals will tell you that data management related tasks will consume upwards of 80% of their time, leaving only 20% for … Read more →

# 复几何与霍奇理论

## by 稻年

基本的复几何, 目标是理解霍奇理论, 乃至 (p) 进版本 […] (\newcommand\AA{\mathcal{A}}) (\newcommand\bbz{\mathbb{Z}}) 此笔记整理自 (Huybrechts 2005) (Demailly 2012) (Cattani 2010) 目前这是一个非常粗糙的版本, 主要是作备忘录用, 打算今年6月再整理一番. 此笔记所讨论的复几何意指紧的复流形. 由于复流形的复结构具有很强的刚性, 所以复流形上的几何常常可以用多项式组的零点来描述. 问题: 复流形的分类是个很困难的问题. 复曲线可以用模空间 (moduli space) 的理论进行一定程度上的分类 复曲面的分类则已经很复杂了. 所以 Huybrechts 的书主要讨论的是理论相对完备的复流形, … Read more →

# Test of Bookdown

## by Mads Stenbo Nielsen

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] More centered text The contents of the below subsections are located in a sub folder. This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com. When you click the Knit button a document will be generated that includes both content as well as the output of any embedded R code chunks within ... Read more →

# ECON 381: Statistics and Probability for Econometrics

## by Pierangelo DePace and Augusto Gonzalez Bonorino

Textbook for ECON 381: Statistics and Probability for Econometrics […] Here the introduction to the class and … Read more →

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

## by Jacob Kaplan

A guide to learning R for the purpose of conducting quantitative research. This covers collecting and cleaning data, and visualizing it in graphs and maps. […] 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. If … Read more →

# Kurshandbuch

## by Dr. Marco Lünich

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 (zuvor bereits im WS 19/10) am Institut für Sozialwissenschaften der Heinrich Heine Universität Düsseldorf. Work in … Read more →

# quantitative_synthesis_tools.knit

## by cjlortie

This a brief introduction to scientific synthesis tools that use meta-analyses and systematic reviews to advance science and inform decision making. […] An overview of quantitative synthesis tools associated with review processing. Scientific synthesis of all academic evidence from data to papers can promote evidence-informed decision making. Every contemporary discipline has some capacity to support and benefit from synthesis tools. Here, we develop a set of heuristics to support innovation and leverage evidence. A overview of lessons provided in this resource to encourage development and … 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 →

# Business Intelligence II, forår 2023: Anvendt Machine Learning

## by Mads Stenbo Nielsen

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] Første modul omhandler en generel introduktion til softwareprogrammet R (https://www.r-project.org/). Her gengives en række eksempler på R-kode samt det tilhørende R-output for at illustrere forskellige grundlæggende funktionaliteter i programmet. Programmet R tager koder som input, så hver gang man skal have udført noget, skal man skrive de(n) relevante kode(r), som herefter eksekveres af programmet og giver det ... Read more →

# 纤维丛

## by 稻年

介绍纤维丛理论 […] 此笔记整理自(Cohen 1998) 简单来说, 纤维丛 (fiber bundle) 就是在基空间 (base space) 的每点附着同一个1纤维 (fiber) , 最经典的例子就是流形上的切丛: 在流形 (M) 上的每点 (p) 处附着 “同一个” 线性空间, 也就是切空间 (T_p M), 所有这些切空间的不交并便是切丛 (TM). 对于一般的纤维丛而言, 基空间不一定是流形, 纤维也不一定是线性空间. 比纤维丛更一般的概念是纤维化 (fibration) , 即不要求基空间的附着物都一样, 这样就可以和代数几何中处理的奇异性问题相吻合. 纤维化是一个非常具有普适性的概念. 例 0.1 (集合的纤维化) 例如对任意的集合映射 [ f\colon A\to … Read more →

# Proyecto Final -SW

## by Campos Sosa Isaac, Leal Rosas Renzo, Perez Bastarrachea Yamiley

Proyecto Final -SW […] UNIVERSIDAD NACIONAL JOSE FAUSTINO SANCHEZ CARRION Mg. Victor Guevara P. SOFTWARE DE APLICACIÓN I Campos Sosa Isaac Leal Rosas Renzo Perez Bastarrachea Yamiley CIENCIAS ESTADISTICA E … Read more →

# TRABAJO FINAL

## by Sandern

Sandern ################################################# To learn more about Quarto books visit https://quarto.org/docs/books. … Read more →

# Expanding and Corroborating the Known Extent of Anadromous Waters in the Kenai Peninsula Throughout the Kenai Peninsula

## by Benjamin Meyer, Kenai Watershed Forum

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 preliminary data and analysis related to Alaska Sustainable Salmon Fund project #54014, “Expanding and Corroborating the Known Extent of Anadromous Waters Throughout the Kenai Peninsula.” The Kenai Peninsula’s watersheds are significant producers of Pacific salmon. Critical to Alaska’s economic and cultural wellbeing, these salmon support fisheries both inland and throughout Cook Inlet. This project is documenting anadromous spawning, … Read more →

# 圣诞埃及游：行前准备

## by shihshengch

这是一个去埃及前的笔记与行前准备。 […] 起始时间地点：2022年12月22日，卢克索(Luxor) 结束时间地点：2022年12月29日，赫尔格达(Hurghada) 门票埃镑计价。部分景点手机拍照免费，若使用非手机器具拍照，如相机，Go Pro，三脚架则会收取额外相机费。部分景点包含墓室，进入需缴纳额外费用。 Open in new … Read more →

# PrioriTree: an Interactive Utility for Improving Geographic Phylodynamic Analyses in BEAST

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

PrioriTree is an interactive browser utility—distributed as an R package (see https://jsigao.shinyapps.io/prioritree/ for a demo of the utility)—designed to help researchers specify input files for—and process output files from—analyses of biogeographic history performed using the BEAST software package (Drummond et al. 2012; Suchard et al. 2018). The discrete-geographic models implemented in BEAST (Lemey et al. 2009; Edwards et al. 2011) contain many parameters that must be inferred from minimal information (the single geographic area in which each pathogen occurs); inferences under this … Read more →

# RileVeriGörselleştirme

## by Uğur Dar

Eskişehir R Users Group - ESTÜ Veri Bilimi Kulübü […] Hazırlayan: Uğur Dar İletişim: LinkedIn Twitter E-posta: ugurdar@eskisehir.edu.tr “Bir resmin en büyük değeri, bizi görmeyi hiç beklemediğimiz bir şeyi fark etmeye zorlamasıdır.” 1. Her bilgi görselleştirilmek zorunda değildir A birasını tercih edenlerin %40’ı erkektir bilgisinde görselleştirmeye değer bir bilgi bulunmamaktadır. Görselleştirme araçları çok sık kullanıldığında, hedef kitlenin odaklanması istenilen kısmı kaçırmasına neden olabilir. 2. Grafiğin hedef kitlesinin belirlenmesi Görselleştirme, veriye göre çok karmaşık hale … Read more →

# Caderno de exercícos Mestrado de computação aplicada

## by Anderson dos Santos

Caderno de exercício Big Data […] Autor: Anderson dos Santos Prof: Olga Satomi … 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 →

# Disciplina - BiG Data & Analytics

## by Eder M Barbosa - Matricula 42990 - Turma T04

Caderno de Exercicios que utiliza tecnicas de analise de dados.! Prof(a). Dra. Olga Satomi Yoshida Monitoria: Prof. Leonardo Fonseca Larrubia 1.1 Calcule as seguintes expressoes em R: 2.1 Multiplique a sua idade por meses e salve o resultado em um objeto chamado idade_em_meses. 2.1 - Em seguida, multiplique esse objeto por 30 e salve o resultado em um objeto chamado idade_em_dias. 5.1 - Escreva um código que devolva apenas valores positivos do vetor numeros. 5.2. - Escreva um código que de volta apenas os valores pares do vetor numeros. 5.3 - Filtre o vetor para que retorne apenas aqueles … Read more →

# Using simulation to compare sensitivity of PLIS procedure and conventional p-value procedure

## by Jingyi Guan and Thu Dang

This is a demo of our simulation. […] This is a detailed demo of a simulation to test the sensitivity of PLIS procedure and conventional p-value procedure using logistics regression. While PLIS procedure incorporates the correlation among SNPs to adjust for Linkage Disequilibrium (LD), conducting multiple logistics regressions assumes that SNPs are independent from one another. The main idea here: We don’t have info for all SNPs along our chromosomes for research. Thus, when missing the data for true causal SNPs, we want to detect the SNPs that are physically close to the causal SNPs so … Read more →

# Disciplina BIG019 - BiG Data & Analytics

## by Matricula 43350 - Marcos A. Alves - Turma T04

Caderno de Exercicios […] Caderno de Exercicio do Aluno Marcos Alberto Alves, para o emprego das tecnicas de analise de dados da disciplina de Big Data & analytics do mestrando em Computação Aplicada no Instituto de Pesquisas Tecnológicas – IPT Prof. Dra. Olga Satomi Yoshida Monitoria: … Read more →

# Mestrado Computação Aplicada - Bigdata Analitics 2022

## by Julio Cesar dos Santos Vieira

Caderno de Exercicio do Aluno Julio Cesar dos Santos Vieira, para o emprego das tecnicas de analise de dados da disciplina de Big Data & analytics do mestrado em Computação Aplicada no Instituto de Pesquisas Tecnológicas – IPT Prof. Dra. Olga Satomi Yoshida Monitoria: … Read more →

# Disciplina Big Data & Analytics

## by Josias Oliveira Lima - Turma T04

Caderno de Exercicios […] Cadernos de Exercícios da disciplina de Big Data & Analytics do mestrado em Computação Aplicada no Instituto de Pesquisas Tecnológicas – IPT Profa. Dra. Olga Satomi Yoshida Monitoria: Leonardo … Read more →

# An introduction to using RUV-III-NB: Removing unwanted variation in single cell data

## by Alysha M De Livera and Agus Salim

This is an introduction to using RUV-III-NB (Salim et al. 2022) for removing unwanted variations from single cell RNA sequencing data. […] This is an introduction to using RUV-III-NB for removing unwanted variation from single cell RNA sequencing data (Salim et al. 2022). The first section RUV-III-NB model below briefly explains the statistical methodology behind RUV-III-NB. Readers who are not interested in the methodology can move straight to Preliminary settings. RUV-III-NB models the raw count for gene (g) and cell (c), (y_{gc}), as Negative Binomial (NB), (y_{gc} \sim … Read more →

# Data Analysis in Medicine and Health using R

## by Kamarul Imran, Wan Nor Arifin, Tengku Muhammad Hanis Tengku Mokhtar

Data Analysis in Medicine and Health using R […] We wrote this book to help new R programming users with limited programming and statistical background. We understand the struggles they are going through to move from point-and-click statistical software such as SPSS or MS Excel to more code-centric software such as R and Python. From our experiences, frustration sets in early in learning this code-centric software. It often demotivates new users to the extent that they ditch them and return to using point-and-click statistical software. This book will minimise these struggles and gently … Read more →

# Supervised Machine Learning

## by Michael Foley

These are my personal notes related to supervised machine learning techniques. […] Machine learning (ML) develops algorithms to identify patterns in data (unsupervised ML) or make predictions and inferences (supervised ML). Supervised ML trains the machine to learn from prior examples to predict either a categorical outcome (classification) or a numeric outcome (regression), or to infer the relationships between the outcome and its explanatory variables. Two early forms of supervised ML are linear regression (OLS) and generalized linear models (GLM) (Poisson and logistic regression). These … Read more →

# PS 811 Website

## by Blake Reynolds

This is the course website for the fall 2022 PS 811 Class […] This is the class website for PS-811 for the 2022 fall semester. PS 811 is a one-credit hour, pass/fail course taught to incoming Ph.D. students in the political science department. This course will be taught remotely; however, RM 3218 in the Social Sciences building has been reserved if you would like to listen to lecture and work on the problem sets together in the room during the class time window. In modern political science, you will be required to perform or understand quantitative research. Often this research is conducted … Read more →

# RNA-genomics

## by Guri Giaever

This section of the OMICS course will cover NGS sequencing from FASTQ reads to differential RNA analysis. The general workflow is shown above. We will use a dataset from Saccharomyces cereviseae. The bookdown version of these pages is published at this site … 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 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 work to … Read more →

# Applied Biostats – BIOL3272 UMN – Fall 2022

## by Yaniv Brandvain

This is the textbook for applied biostats in fall of 2022 taught by yaniv brandvain […] In the summer of 2020, the world was on fire – COVID was raging, we – especially in Minnesota – were processing the murder of George Floyd and the subsequent uprising etc, the future was unclear. At that point teaching was likely to be entirely online, and I decided to write a digital book for my course see the first edition of my book here. I didn’t really know what I was doing or what my vision was (and to some extent I still do not). There were hiccups: some strangeness in rendering etc, typos, last … Read more →

# Notas para la asignatura de Matemáticas I , UCM Somosaguas

## by Jorge Herrera de la Cruz

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] Si encuentras alguna errata o tienes alguna sugerencia, ... Read more →

# Biology for environmental management pocketguide

## by cjlortie

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

# Wrangling-Genomics

## by Guri Giaever

Data Wrangling and Processing for Genomics […] A lot of genomics analysis is done using command-line tools for three reasons: you will often be working with a large number of files, and working through the command-line rather than through a graphical user interface (GUI) allows you to automate repetitive tasks, you will often need more compute power than is available on your personal computer, and connecting to and interacting with remote computers requires a command-line interface, and you will often need to customize your analyses, and command-line tools often enable more … Read more →

# Miller Creek and Vogel Lake Water Quality

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

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

# Experimental design

## by cjlortie

The sandbox is a perfect metaphor because there is no perfect experiment - we can do better experiments! […] Experiments shape the human experience. Experiments are a critical component of all living natural systems encompassing evolution to community dynamics. Experiments in science are creative, iterative, & source critical thinking. We naturally experiment in art, science, and life. Here, we hone these skills through principles and practice. The principles are here, and the practice is in the form a lab manual entitled Designcraft for experiments. If you are electing to engage with this … Read more →

# g-2

## by Marco Garofalo

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] This is a sample book written in Markdown. You can use anything that Pandoc’s Markdown supports; for example, a math equation \(a^2 + b^2 = ... Read more →

# 统计计算

## by Watthu

本文是统计计算的课程笔记整理，主要采用R语言编程。 R是一个免费开源的用于统计计算和作图的语言和软件环境，它提供了广泛的统计工具和灵活高质量的图形工具，其功能可以通过添加package来扩充。R的官方网站为 R Project Website，该网站包含R在各种操作系统下的安装文件、R的帮助文档包括一些免费的书籍等。 R是一种解释性语言，不必像C之类的编译语言首先要构成一个完整的程序形式。当R运行时，所有变量、数据、函数及结果都以对象（object）的形式存在计算机的活动内存中，并冠有相应的名字代号。我们可以通过用一些运算符（如算术、逻辑、比较等）和一些函数（其本身也是对象）来对这些对象进行操作。 R中的数据结构可以按其维数（1d、2d、nd）和同质性（所有元素 … Read more →

# Data cleaning for social scientists

## by Felix Lennert

Felix Lennert This is the script for a two-day workshop on data cleaning for the social sciences. I assume you are familiar with basic R concepts such as the different data types and how to index them, the general structure of the syntax, and how to make function calls. In the 21st century, social scientists are able to tap into wells of data that are deeper than ever before. Not only can we use more designed data, i.e., data that have been generated with the clear goal of performing research using them in mind, e.g., survey data, than ever. Also, the rise of the internet as a sensor for … Read more →

# STM1001: Foundational Biology for Analyses of Biological Data

STM1001 Biology (Science/Health/Data Science Streams) […] Welcome to another content supplement for the Science, Health and Data Science streams of STM1001. Throughout the semester, as we cover different aspects of statistics and data science, supplementary documents such as this one will be used to enhance your learning experience. This document contains material to support your learning as you complete Computer Lab 8B of the Science, Health or Data Science streams. We recommend that you take a few minutes to browse the different sections in this document (just click on the sections in the … Read more →

# STM1001: Data Visualisation in R

STM1001 Data Visualisation (Data Science Stream) […] Welcome to the first content supplement for the Data Science stream of STM1001. Throughout the semester, as we cover different aspects of data science, supplementary documents such as this one will be used to enhance your learning experience. This document contains support material to support your learning as you complete Computer Labs 2B, 3B and 4B of the Data Science stream. We recommend that you take a few minutes to browse the different sections in this document (just click on the sections in the menu bar to your left). You don’t need … Read more →

# R for marketing students

## by Samuel Franssens

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 of the … Read more →

# Kenai River Thermal Imagery

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

This document contains describes several data management and analysis tasks related to the Kenai River Thermal Imagery project. […] This document contains data and analysis related to the Kenai River Thermal Imagery project. This work is a collaborative effort between three Kenai Peninsula Nonprofits: Cook Inletkeeper, Kachemak Bay Heritage Land Trust, and Kenai Watershed Forum.It is funded by the Alaska Sustainable Salmon Fund (project #53003). A two-page project summary titled, “Science Based Land Conservation: Cold Water Stepping Stones” is outlined below. A full size version of this … Read more →

# Indigenous Languages of Latin America

## by Ann Garbett

Project looking at populations that speak indigenous languages […] Exploration of populations in Latin America that speak indigenous languages as well as their literacy … Read more →

# Education among Children of the Migrant Workers

## by Dr. Josephine Anthony

Dr. Josephine Anthony Every child has a right to have access to school and help themselves develop into better human beings and contribute to the society. The Govt. of India of India came up with the Right to Compulsory and Free Education Act in the year 2010, which ensures that children in the age group 6-14 years have universal access to free and compulsory education. However even after the Act was put into force, there were many challenges, which were being faced. The issue was not just about the primary school but from the starting point itself there is a huge challenge. The children who … Read more →

# Statistica Applicata per la Finanza - 2022/23

## by Michela Cameletti

Appunti di R per il corso di Statistica Applicata per la Finanza at 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 2022/23). 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 … Read more →

# tidy[ing] up POL345

## by John Kim

A guide to the tidyverse for POL345 Students. […] POL345 is often Princeton students’ first foray into the programming language R. Through POL345, students gain an introductory overview of R, and programming generally, to conduct basic data analysis on their own. However, many further courses (SML201, SOC306, POL346), along with industry users of R, use the tidyverse instead, a “language” within R to conduct clean, readable data analysis. This book seeks to bridge that gap, revisiting each of the POL345 handouts using the tidyverse to introduce students to this “language within a language”. … Read more →

# Matemáticas I-II CEU, Grupo de Excelencia

## by Jorge Herrera de la Cruz

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] Estas son unas notas de clase escritas en Markdown para la docencia de Matemáticas I en el grupo de Excelencia del CEU ¡Disfrútalas y, si encuentras algún error, escríbeme a jorge.herrera1@ceu.es ! You can render the HTML version of this example book without changing anything: Find the Build pane in the RStudio IDE, and Click on Build Book, then select your output format, or select “All formats” if you’d like to use ... Read more →

# Disciplina BIG019 - BiG Data & Analytics

## by Eder Mauricio Barbosa

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] Caderno de Exercicio do Aluno Eder Mauricio Barbosa, para o emprego das tecnicas de analise de dados da disciplina de Big Data & analytics do Mestrando em Computação Aplicada no Instituto de Pesquisas Tecnológicas – IPT Prof. Dra. Olga Satomi Yoshida Monitoria: ... Read more →

# Notes on Sea Kayak Navigation and Tidal Planning

## by Rich Bown

Notes on sea kayak navigation and tidal planning […] Sea kayaking is a uniquely varied sport. It offers a diverse set of rewards, from observing wildlife from a unique perspective on a still morning to surfing huge tiderace waves. It also presents a diverse set of challenges to the learner - from developing physical endurance to understanding the maths and geometry of navigation. Like most things, the skills of sea kayaking are honed through practice. Getting out paddling, initially with others who have more experience, is the way to improve. However, ultimately most paddlers will want to … Read more →

# Kenai Peninsula Chapter of Trout Unlimited Embrace-a-Stream Project: Expanding Knowledge of Fish Habitat in Alaska’s Kenai Peninsula

## by Benjamin Meyer, Kenai Watershed Forum (ben@kenaiwatershed.org)

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] The Kenai Peninsula’s watersheds are significant producers of Pacific salmon. Critical to Alaska’s economic and cultural wellbeing, these salmon support fisheries both inland and throughout Cook Inlet. The Kenai Peninsula Chapter of Trout Unlimited1 (KPTU) in collaboration with Kenai Watershed Forum2 (KWF) are documenting habitat for salmonid spawning, rearing, and migration in order to increase the known water bodies recognized in the Alaska Department of … Read more →

# R Cookbook in Food Science

## by Zhijun Wang

This is Rmarkdown for R cookbook in food science, code works for data anslysis using R. […] The book aims to provide a basic overview of data science for statistical analysis in Food Science. This book is intended to save students and young scientists from confusions as a starter in data science application. With the development of food science, this major has became a comprehensive discipline including analytical chemistry, biochemistry, nutrition and even basic medicine. The large amount of data greatly increases the difficulty of data analysis and visualization. Many universities and … Read more →

# Designcraft for experiments

## by cjlortie

This is a set of 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 design … Read more →

# _main.knit

## by genproresearch

Genpro aims to simplify & accelerate our client’s research, achieving their goals by providing knowledge-driven innovative solutions with the highest quality products and services. We are medics, statisticians, programmers, technologists, and medical writers aspiring to provide our best services in the industry. This catalogue is the go-to-spot for our statisticians, programmers, data analysts to ensure a holistic and navigable view of the organization’s data spread across various sources and … Read more →

# Tarification avancée: théorie et applications en R

## by Jean-Philippe Boucher

Notes de cours du MAT998H; Séminaire en mathématiques, de la maitrise et du doctorat en mathématiques, UQAM. […] Ce site contient les notes de cours pour le seminaire MAT998H, à l’automne 2022. L’objectif de ces notes est de présenter certains modèles de tarification, tout en utilisant le logiciel R pour mieux comprendre la théorie et pour des applications pratiques. Ces notes de cours ont été écrites en RMarkdown, plus particulièrement en … Read more →

# Publicando um e-book com o bookdown

## by João B. Tolentino Jr.

Este material destina-se a explicar a publicação de um e-book com o pacote bookdown no formato gitbook […] O pacote bookdown, de autoria de Yihui Xie, combina a simplicidade da linguagem R Markdown com as funcionalidades do (Pandoc)[https://pandoc.org/]. Segundo o autor, sua utilização é adequada para escrever livros, artigos longos ou informes, sendo as principais funcionalidades: E tudo isso com um visual, no mínimo, agradável. O principal estilo é o GitBook. O pacote bookdown pode ser instalado do CRAN ou Github: A documentação completa pode ser encontrada em bookdown: Authoring Books … Read more →

# Data Visualization for International Relations

## by Alfredo Hernandez Sanchez, PhD

This book is the companion to the MA course Data Visualization at IBEI. […] In an experiment conducted by researchers from University College London (Mcmanus and Gesiak 2014), 277 participants were asked to look at several pairs of paintings: one of the pairs was an original by abstract painter Piet Mondrian, and the other was fake version that closely resembled it.1 The participants where asked: When looking at the pictures you should decide overall which you thinks looks better, in that it looks nicer, it looks better organised, or it looks better balanced. The results suggested that … Read more →

# MGMTFT 402 - Data and Decisions

## by Auyon Siddiq

MGMTFT402 - Data and Decisions. […] These notes recap key concepts from Data and Decisions with accompanying examples in R. You may find it helpful to refer to these examples as you complete the labs and cases. All of the datasets used in these notes are available … Read more →

# MUED 540

## by jdholster1

MUED 540 […] Generally, research is systematic inquiry through chosen epistemologies and methodologies. Quantitative methods can include experimental design, which is noted by random assignment (e.g., effectiveness of a drug in a double-blind study), quasi-experimental design, which is noted by previously attributed treatments or groups (e.g. effectiveness of a teaching method across sections of a course, or include observation or description (e.g., number of students who took their instruments home on a given day/cars that stopped at a stop sign and turned right). Quantitative research can … Read more →

# Statistik (online-noter)

## by Mads Stenbo Nielsen

Statistik (online-noter) […] Dette notesæt omhandler konstruktion af konfidensintervaller for parametrene i binomial- og normalfordelinger. Notesættet opsummerer væsentlig intuition og resultater som beskrevet i Newbold, Carlson & Thorne afsnit 7.1-7.5, 7.7, 8.2, 8.3, 9.1, … Read more →

# An Introduction to Camera Trap Data Management and Analysis in R

## by Christopher Beirne, the Wildlife Coexistence Lab, UBC, and the WildCam Network

Materials for the three day camera trap data management and analysis course […] The number of projects employing camera traps to understand ecological phenomena is growing rapidly – as are the number of statistical tools to analyze the resultant data. Consequently, the management and analysis of camera trap data can seem complex and overwhelming. This course aims to guide participants in effective ways to store, manipulate and analyze camera trap data within the R statistical environment. The idea for this course was born out of the realization that many of the analytical frameworks we … Read more →

# Survival Analysis in R

## by Michael Foley

Concepts and application of surival analysis using R. [...] Survival analyses model time-to-event. They differ from linear regression in two respects. Event times are typically skewed right with many early events and few late ones, violating linear regression’s normality assumption. Survival analyses must also manage censoring, an unknown starting event (left censoring) and/or ending event (right censoring)1. Censoring occurs if the event does not take place by the end of the study window, or the subject is in some way lost to follow-up. In Figure 0.1, subjects 3, 5, 9, and 15 either ... Read more →

# R Crash Course (for EF students) - 2022/23

## by Michela Cameletti

Notes for the R Crash Course for the students of the Economics and Finance degree […] You are reading the lecture notes of the R Crash Course. This introducton to R software is for the students from the Master in Economics and Finance (EF) at University of Bergamo (academic year 2022/23). Enjoy the journey! In the following lecture notes, this font (with grey background) represents R code. The following is an example of R code with the corresponding output. These notes are written in RStudio by using bookdown (https://bookdown.org/). For errors, typos, suggestions, … write to … Read more →

# How to Be an Rtist: A Beginner’s Guide to Writing Beautiful, Intentional R Code

## by Adam Sadowski

How do you get inspired to write in R? Many books teach you what to write, but not how to find inspiration. This book starts from the ground up. You’ve just installed R and RStudio - what do you do now? What’s the quickest, smartest way to get results? I’ll show you how to get there, line-by-line, step-by-step. At some point, in trying to get your own work done, you will get stuck. But I’ll also show you how to get unstuck in mere minutes. Finally, I’ll show you how to write in a way that will prevent you from getting stuck in the first place! This will keep you in the flow of writing beautiful, intentional R code. 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 →

# A primer for biostatistics in R

## by cjlortie

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

# Statistics 1 - exercises

## by Błażej Kochański

Statistics 1 - exercises 2022 […] This book is being prepared for the students of Statistics course at Gdańsk University of Technology. Dear students. For the purposes of our class I am testing bookdown (http://bookdown.org). We will see how it … Read more →

# STM1001 Topic 2B (Science and Health)

## by Based on Chapters 2 and 4 of ''Scientific Research and Methodology'' by Peter K. Dunn (Dunn 2021)

STM1001 Topic 2B (Science and Health) […] In this topic, we will begin by learning about research questions. We will then discuss some important considerations regarding ethics in … Read more →

# An Introduction to Statistical Learning with the tidyverse and tidymodels

## by Taylor Dunn

Working through ISLR with the tidyverse and tidymodels […] I am a data scientist and statistician who is (mostly) self-taught from textbooks and generous people sharing their work online. Inspired by projects like Solomon Kurz’s recoding of Statistical Rethinking and Emil Hvitfeldt’s ISLR tidymodels labs, I decided to publicly document my notes and code as I work through An Introduction to Statistical Learning, 2nd edition by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani. I prefer to work with the tidyverse collection of R packages, and so will be using those to wrangle … 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. […] I have been working on this on and off for the past 4 years or so. In 2022, I have updated the contents of the book to reflect updates introduced with R 4.1 and in several packages (especially those from the {tidyverse}). I have also cut some content that I think is not that … Read more →

# Fun With Brandt

## by Brandt Green

Some description is supposed to go here. Not sure where it renders tho […] I do not currently have a strong vision on the structure of this book yet, but for now, I just see it as a convenient place to dump my blog-like writings into, while also leveraging the power of R Markdown. I expect most of the topics discussed to be centered around the world of finance - seeing as finance is the highest calling of mankind, it is only just to give finance its due. I would like to use a writing approach that is data-focused and visual heavy, which is partly the motivation for using R Markdown as the … Read more →

# A Pre-Arrival Guide For Incoming & Prospective Students

## by By the Student Outreach Committee of MaSA UIUC

A Pre-Arrival Guide For Incoming & Prospective Students […] This book aims primarily as a general guideline for students who have accepted their admission into the University of Illinois at Urbana Champaign (UIUC for short). Secondarily, we’re also working on detailing life at the university as Malaysians in this book for those who are interested in the university, but do not know much. This book is still heavily a work in progress, so we’re prioritizing writing the pre-arrival sections! A printable version of this book is being worked on. In the meantime, this older Google Doc that we have … Read more →

# STAT101 Tutorials

## by speedyjiang

STAT101 Tutorials […] Weekly tutorial exercises (starting in Week 1) are assigned from the required course textbook, Lock, Lock, Lock Morgan, Lock and Lock, Statistics: Unlocking the Power of Data, 2nd Edition, (2017) Wiley. You can find details on where to source the textbook in the Course Information section. You do not need to get the textbook exercises finished or correct during the tutorial, we just want you to give them your best attempt. However, mastering these concepts is strongly recommended in preparation for the final exam. Your attempts at the textbook exercises will not be … Read more →

# Base de Datos

## by Patricio Araneda

Manual de referencia en bases de datos, desde un aspecto introductorio y forma parte de una serie de libros sobre datos e información. […] Este libro es el primero de una serie sobre datos e información y que pretende abarcar todos los aspectos del manejo de datos, desde una base local hasta Big Data pasando por aspectos de analítica de datos y ciencia de datos. Componentes de la serie: Estamos viviendo en una civilización basada en información, donde esta se transa y valora, donde todo objeto/persona es fuente de información que se utiliza con distintos fines. El valor de la información … 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 alat bantu 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 →

# STM1001 Topic 10: Chi-squared Tests for Categorical Data

## by Amanda Shaker

STM1001 Topic 10 […] In the previous topic, we looked at hypothesis tests for proportions, namely, the one and two sample test of proportions. In this topic, we will be considering another type of test that can be used to address hypotheses regarding proportions that come about by studying categorical variables: the Chi-squared test. There are many different types of Chi-squared tests. In this topic, we will be looking specifically at the Chi-squared goodness of fit test and the Chi-squared test of independence. In some ways, these tests can be considered extensions of the test of … Read more →

# PreProcSEQ: Pipeline for pre-processing RNA-Seq data

## by Jean S. S. Resende and Mauro A. A. Castro

Vignette for the PreProcSEQ pipeline […] Introducing the PreProcSEQ pipeline, a pipeline that takes the first steps necessary for analyzing RNA-Seq data. We cover everything from quality control (QC) to the construction of the gene expression matrix, covering essential topics for removing technical effects such as normalization and batch effect removal. The repository GitHub - resendejss contains the scripts and directory structure for the pipeline execution. … Read more →

# Caderno BD

## by Anderson dos Santos

Caderno de exercício Big Data […] Big Data Analytics 2022 Autor: Anderson dos Santos Prof: … Read more →

# The Representation of Muslims in Higher Education

## by Danyal Khan, MRN Research Officer

The Representation of Muslims in Higher Education […] There were approximately 255,000 Muslims studying at UK universities in the academic year 2020/21 across all levels of higher education, accounting for 9.8% of the total student population. The proportion and number of Muslims in higher education is growing across all levels and domiciles from 2017-2021. The representation of British Muslims amongst UK domiciled students is lower at higher levels of education, across all subject areas. Business and Management is the most over-represented subject amongst Muslims, whilst Design and … Read more →

# UG Quantitative Methods in the Social Sciences lab workbook

## by by J Rafael Verudzco Torres and Mark Wong

This is the workbook you will use for the Quantitative Methods in the Social Sciences lab sessions. […] Welcome to the Quantitative Methods in the Social Sciences lab! This workbook is targeted to University of Glasgow students enrolled in the Undergraduate Quantitative Research Methods course of the School of Social & Political Sciences. The activities are designed for RStudio Cloud. The book was written using R bookdown package based on the GitHub repository: https://github.com/rstudio/bookdown-demo. The online version of this book is licensed under the Creative Commons … Read more →

# Médiation A very Quickstart

## by CERPOP, INSERM, EQUITY Team

Document de synthèse En cours de rédaction [work in progress] Hélène Colineaux, Benoit Lepage The online version of this book is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International … Read more →

# Rethinking Companion

## by Wade VanderWright

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] This is a companion book written in Markdown for McElreath’s Statistical Rethinking (2020). You can set up your R console by running: The Golem of Prague and statistical golems (models) are powerful but lack wisdom. As McElreath tells us, there are many kinds of golems and figuring out how to build the one you need to carry out the task at hand can be tricky. Figure 1.1 In addition, novel research often requires novel ... Read more →

# Book_MI.knit

## by mwheymans

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

# Practice and theory of financial markets

## by Nicolas Gaussel

Teaching notes for the MMMEF master […] The following are draft notes related to the lecture “Introduction to Finance”, given at [MMMEF master](http://www.mmmef.fr/ “visit”, year 2022. This is an incomplete work in progress which is neither supposed to be quoted nor … Read more →

# Chp1

## by Frank Lin

Chp1 […] Hi. … Read more →

# Social Science Theory

## by Mike Nguyen

This book is about relevant social theories that are regularly used in social sciences […] View book source “Social Science Theory” was written by Mike Nguyen. It was last built on 2022-09-27. This book was built by the bookdown R … Read more →

# Grupo 0 Matemáticas

## by Mercedes Vázquez Furelos, María Eugenia Mera Rivas, Jorge Herrera de la Cruz

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] Esta es la Vídeo-Web del Grupo 0 de Matemáticas de la Facultad de Económicas y Empresariales de la ... Read more →

# Programming and Applied Data Visualization with R

## by Dr. Paul C. Bauer (University of Mannheim)

Q: What is your experience with looking at data analysis code you have written 2 years earlier? Comment your code Use meaningful names! A “new” package dplyr written by Hadley Wickham/Romain Francois replaces many old functions for data management Functions in dplyr are highly performant (big data!) and consistent See this page for an excellent overview and the Data Wrangling Cheat Sheet What could the following functions be used for? Hadley Wickhams ggplot2 Package developed into a powerful alternative to the default plot() function. Its goal is to simplify complex plots (e.g. take care of … Read more →

# Ciencia de Datos para Ciencias Naturales

## by Keilor Rojas-Jimenez

Introducción | Ciencia de Datos para Ciencias Naturales […] Uno de los grandes retos de hoy es tener la capacidad de transformar los datos en conocimiento útil. Esto rige para todas las áreas del conocimiento, incluidas las ciencias naturales. El creciente ritmo de generación y la abundante disponibilidad de datos, en términos de volumen, velocidad y variedad, obliga a quienes trabajamos en ciencia a disponer de herramientas apropiadas para accederlos, manipularlos, analizarlos y aprovecharlos al máximo. Es pertinente que podamos transformar datos en información, en un primer paso, y en … Read more →

# An Introduction to ggplot2

## by Ozancan Ozdemir

A ggplot2 Tutorial […] Hi! Data Visualization is one of the important steps of the data analysis process. It is actually not only part of the data analysis, but also can be considered as an art. R Programming language provides a powerful visualization package to us, ggplot2. This book aims to show how you can make a well-known statistical plots by using ggplot2, and also how you can improve or customize them. The book is created by the lab notes of statistical computing (STAT 291-STAT 292) of Ozancan Ozdemir. For your opinions and suggestions, please send me an e-mail to … 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 →

# Principles of Statistical Analysis: R Companion

## by Ery Arias-Castro

R code that showcases some of the concepts and tools introduced in Principles of Statistical Analysis […] This is a companion to the textbook Principles of Statistical Analysis. It contains some R code that illustrates the concepts and tools introduced in the textbook. Some familiarity with R is assumed, although no advanced knowledge is required. The code is meant to be relatively simple, yet useful, at least for novices. No real effort was made to optimize it. The chapters are numbered as they are in the textbook, while the sections are not. The data not taken from packages is available … Read more →

# A Research about the Employee’s Motivation for Knowledge Sharing and Employee Creativity

## by 潘薇

This is a minimal example of using the bookdown package to write a book. set in the _output.yml file. The HTML output format for this example is bookdown::bs4_book, [...] A Research about the Employee’s Motivation for Knowledge Sharing and Employee Creativity: A Case Study from the Industrial Park of Jiujiang National Economic and Technology Development Zone WEI PAN Master of Business Administration Program in Business Administration Innovation College North-Chiang Mai University August 2022 First, I would ... Read more →

# Introduction to Bayesian Econometrics

## by Andrés Ramírez-Hassan

The subject of this textbook is Bayesian regression analysis, and its main aim is to provide introductory level theory foundation, and facilitate applicability of Bayesian inference. […] Since late 90’s Bayesian inference has gained a lot of popularity among researchers due to the computational revolution and availability of algorithms to solve complex integrals. However, many researchers, students and practitioners still lack understanding and application of this inferential approach. The main reason is the requirement of good programming skills. Introduction to Bayesian econometrics: A … Read more →

# Voorbeeld voor een digitale Kostenhandleiding

## by Erasmus Universteit Rotterdam

Voorbeeld voor een digitale Kostenhandleiding […] Dit is een voorbeeld van een interactieve online kostenhandleiding, gebaseerd op hoofdstuk 6 van de huidige handleiding. Deze handleiding kent de volgende opties: Ga naar Hoofdstuk 6 voor een uitgewerkte, interactieve … Read more →

# Язык R для пользователей Excel

## by Алексей Селезнёв

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

# The LibreOffice Draw Book

## by Sonwabo Seedwell Adlai, Jordan (PhD)

LibreOffice Draw, which is part of an application suite called LibreOffice, is primarily a vector graphics drawing program, although it can also perform some operations on raster graphics. […] Welcome to the online version of The LibreOffice Draw Book - the freedom to draw. This book is at an early stage of development and is deliberately being written “live and online”. The first chapter is 90% complete - the completion schedule for subsequent chapters is shown at the end of each chapter. The envisaged completion date for the entire book is the 28th of February 2023 at which time the print … Read more →

# Biometry

## by Pleuni Pennings and Kevin Magnaye

Course notes for Biometry. […] You belong in this course and in the field of data science! We are excited to learn with each and every one of you. We are here to support your success. We have no doubt that you will do great things with the data science skills you learn in this course because of who you are as a person and the values you bring with you from your culture, family, and life experiences. We want to invite you to bring your whole self into our data science learning community. Each of you brings cultural assets and personal perspectives that will allow you to make unique … Read more →

# Methods in (Skene & Kenward, 2010)

## by Dylan Dijk

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::bs4_book, set in the _output.yml file. [...] This tutorial aims to show how methods described in the two papers by Simon S. Skene and Michael G. Kenward1,2 (paper I and paper II) can be applied in R. In these papers, it is assumed that the data can be represented by a multivariate Gaussian linear model. The model has the following form: \[\begin{equation} y_i \sim N(X_i \beta;\Sigma_i ), \quad i =1, \dots,n \tag{1.1} \end{equation}\] where \(y_i\) \((T_i \times ... Read more →

# Prelude to Econometrics Using R

## by Matt Dobra

Prelude to Econometrics Using R […] In preparation for my first semester teaching Econometrics using R, I prepared a series of R Notebooks for use in class. Not only did I use these notebooks to teach the material in class, I also provided them to students for their use, study, and such. At one point, in referring to this collection of notebooks, a student told me that they liked my book, and my first instinct was to reply that it wasn’t really a book, it was just a collection of teaching notes. But this student’s statement stuck with me, and I realized that, while it wasn’t really … Read more →

# Model Based Sampling with EMC2 - Extended Models of Choice

## by Reilly Innes, Niek Stevenson, Russell Boag, Andrew Heathcote

This bookdown provides a tutorial on how to use EMC2. […] This project provides a tutorial for learning about cognitive models, namely evidence accumulation models (EAMs), their implementation and their applications. The tutorial was prepared by Andrew Heathcote, Dora Matzke, Russell Boag, Niek Stevenson and Reilly Innes. The GitHub repository for this project can be found here. The accompanying samples for the code provided here can be found at here. Throughout this guide, we’ll use some complex terminology for different aspects of modelling. We know that models exist, and in particular, … Read more →

# Who R You?

## by Dr. Zachary Pilot

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] Hi everyone, this is the starting point. I used this class as a way to force myself to learn R and I am glad that I did. I was skeptical of R for years, I tried to learn it before and was like this sucks. Impenetrable. I think the book we’re going to use helps with that, but also the community aspect is super important. Try the stuff and if you run into a problem ask our little community on StackOverflow. In fact, as soon as you encounter I want you to post … Read more →

# Elon R Data Camp

## by Adam Aiken

These notes cover our three hours together as we learn about using R for data analysis with R Studio. […] What is R and why are you here? We are to spend our time tonight learning about R, R Markdown, and the developer environment that puts these tools together, R Studio. How do these tools fit together? Scriptability, coding, working with our data (\rightarrow) R Reproducible, literate programming with all of our code, narrative, and formatted output in one place (\rightarrow) R Markdown A place to do this (\rightarrow) RStudio Our most important goal: Get R and RStudio running on … Read more →

# Data Analysis

## by Chia-Ching Wu

A book created with bookdown. […] R語言是一個開源（open-source）的程式語言，是用來做資料探勘、統計分析與繪圖的工具。R語言是1990年代初期，奧克蘭大學統計學教授Ross Ihaka與Robert Gentleman共同開發的，在歷經了近三十年的演變後，現在由R核心團隊成員共同維護。 除了R語言之外，常見的統計分析軟體還包括了SPSS、SAS、Stata、Minitab等，甚至Microsoft office裡的Excel試算表也都可以用來做簡單的統計分析和繪圖。那麼，究竟在這麼多軟體下，R語言有什麼優勢，讓很多人選擇它呢？ R語言最大的優勢在於，它是跨平台的免費軟體，而且擁有豐富的資源。 … Read more →

# Code for An Introduction to Spatial Analysis and Mapping in R 2nd edition

## by Chris Brunsdon and Lex Comber

This contains the code used in the book and will be updated as tools, functions and packages change and evolve::gitbook. […] This document includes all the code used in the book. The code is presented in the same order, in the same the sections and sub-sections in which it is found in the hard copy of the book but without any of the commentary. The code for each chapter allows the reader to copy and paste it into the R/RStudio. When the book was written, all of the code in the book was correct. However, R and its packages are occasionally updated. In most cases this is not problematic as … Read more →

# R Function A Day

## by Indrajeet Patil

“A book that collects (and provides an easy way to access and search) tweets from R Function A Day account that I created and maintained as a hobby project for 1 year (from 24.01.2021 to 24.01.2022).” […] A book that collects (and provides an easy way to access and search) tweets from R Function A Day account that I created and maintained as a hobby project for 1 year (from 24.01.2021 to 24.01.2022). There are 365 posts1 in this book, one for each day. Since the tweets are embedded, the web browser will be slow to load them. So please be patient. Apologies for these performance issues. If … Read more →

# _main.knit

## by © Asser Koskinen, Johan Båge and Håkan Lyckeborg

Data Analytics I - R Assignment Global Spread of COVID-19 […] This assignment deals with a “big” data set, and you are advised to use R for your analysis. R is a programming language and environment for data analytics, machine learning and computer science. You will use real COVID-19 data taken from the Our World in Data database, which is maintained by the Oxford Martin Programme on Global Development at Oxford University. The data has been divided into samples where you will have an individual dataset of 30 countries that you will … Read more →

# Régression linéaire avec R

## by Teodor TIPLICA

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::bs4_book, set in the _output.yml file. [...] Ce livre s’adresse tout d’abord aux étudiants de 1ère année du cycle ingénieur de Polytech Angers à l’Université d’Angers et se veut un support pédagogique pour le cours de Statistiques de Base pour l’Ingénieur. Deuxièmement, le livre peut intéresser tous ceux et celles qui souhaitent approfondir les concepts statistiques liés à la régression linéaire simple et multiple. Pour la bonne compréhension des aspects théoriques, ... 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 have to … Read more →

# Técnicas de Remuestreo

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

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

# データ解析入門

## by Takuya Smaeshima

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] 「R」は統計解析に利用されるフリーのプログラミング言語である。データサイエンス界隈では知名度が高く、Pythonと並び機械学習やデータマイニングの現場で活用されている。以下では、自身のPCに「R」の開発環境を構築する方法について解説する。 現状、利用できる端末は、スペックや個体差などによりプログラムの実行や出力に支障が生じる可能性がある。 ... Read more →

# Matilda Intro to R Workshop

## by Marius Mather (with tweaks by Rachel Visontay and Siobhan O’Dean)

An accessible introduction to R that doesn’t assume programming experience […] This course has been adapted from ex-Matilda Marius Mather’s R for Academics course. This session is designed 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. … Read more →

# Making Sense of Data with R

## by Yi Shang

This is the companion book of the course ED 101 Making Sense of Data offered in the Department of Education at John Carroll University. […] Step 1: Log in to your JCU (google) email account Step 2: Click here or type the short URL: https://colab.to/r to open a new R notebook in Colab. To check if this is really an R notebook (instead of python), click on the “Runtime” tab, then click on “change runtime type.” And you should see this: Now hit “Cancel” and go back to the notebook. Try typing a line of code in the cell, such as: To run this line of code, either hit the play button: Or … Read more →

# Interactive Intermediate Microeconomics

## by Yogi Gohel

This is a minimal example of using the bookdown package to write a book. set in the _output.yml file. The HTML output format for this example is bookdown::bs4_book, [...] This book is designed to help students develop an intuition for intermediate microeconomic concepts using interactive plots and animations. By no means is this a replacement for your course textbook; it should serve as a supplement that builds confidence towards more complex topics. This book is still a work in progress, so there is a chance you will find typos or inconsistencies. Please let me know if you find any at ... Read more →

# AI4PH2022.knit

## by Yuan Tian, Ph.D(c)

Welcome to AI4PH Summer Institute 2022. […] The material is prepared for the tutorial session of the AI4PH event 2022. Please do not cite or distribute without author’s … Read more →

# R for Quantitative Chemistry

## by David Gosser Jr.

R for Quantitative Chemistry … 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 →

# Курс ‘Циклы и функционалы в языке R’

## by Алексей Селезнёв

Бесплатный видео мини курс по итерационным операциям и многопоточности в языке R […] Если вы недавно начали изучать язык R, то наверняка неоднократно слышали от более опытных коллег фразу “В R не принято использовать циклы”. Связано это негласное правило с тем, что большинство функций в языке R поддерживают векторизацию, т.е. они уже под капотом имеют встроенный механизм итерирования. Даже если нужная вам функция не поддерживает векторизацию, вы всегда можете использовать функциональный стиль программирования. Циклы, и в целом итерационные конструкции, позволяют избегать излишнего … Read more →

# Supplementary Materials for Gene Co-expression Network Estimation for Spatial Transcriptomics

## by Satwik Acharyya, Xiang Zhou, Veera Baladandayuthapani

This containes all the supplementary materials for the paper named SpaceX: Gene Co-expression Network Estimation for Spatial Transcriptomics. […] The spatial transcriptomics method depicts the positioning of a single cell on a spatially structured tissue. Knowledge about gene expressions and the spatial distribution of mRNA allows us to uncover cellular and subcellular heterogeneity in tissues, tumors, and immune cells. Spatial transcriptomics provides a unique opportunity to decipher both the cellular and subcellular architecture in both tissues and individual cells along with detection of … Read more →

# R para Psicólogos

## by Cainã, Martins, Jaloto e Dinardi

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

# Shiny Notebook

## by Hao Sun

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] This bookdown is used to take some notes of shiny app. In this notebook, you can find some common shiny commands which can help you build a shiny app. Here are some useful ... Read more →

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

## by Dr. Andrew P. Lapointe

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

# huxtable-mwe

## by Zhenning ‘Jimmy’ Xu, Ph.D.

Matured Big Data Analytics provides new product, consumer, market, and competitor insights in a real-time fashion. […] 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. “I do not care which tool or language you use for assignments, as long as you do your own work.” You can access the script on the course website. You don’t need to actually know to code in R for this course although you will be able to pick up this skill slowly when we … Read more →

# GSB 518 Handouts

## by Kevin Ross

Kevin Ross This is a selection of Handouts for Cal Poly GSB 518, Essential Statistics for Business Analytics, covering topics in Probability and … Read more →

# Componente G - ENEL

## by Oscar Duarte & Luis Gallego

Este es un documento de los desarrollo realizados en el marco del proyecto de caracterización del componente G […] De acuerdo a la regulación vigente, la componente G está determinada por: [\begin{equation} \label{G} \begin{split} G_{m,i,j} & = Qc_{m-1}[P_{{Contratos}{m-1}}]+(1-Qc{m-1})P_{{bolsa}{m-1}} + AJ{m} \ G_{m,i,j} & = Qc_{m-1}[\alphaPc_{m-1} + (1-\alpha)*Mc_{m-1}]+(1-Qc_{m-1})*Pb_{m-1} + AJ_{m} \end{split} \end{equation}] donde: (Qc_{m-1}) : Porción de la demanda de mercado regulado del comercializador que es atendida mediantes compras en contratos bilaterales en el mes … Read more →

# Памятка мигранта: Алтайский край

## by Коллектив авторов: Максимова С.Г., Ноянзина О.Е., Омельченко Д.А., Сарыглар С.А.

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] Алтайский край – богатый и красивый регион, который славится талантливыми людьми, красивой природой, щедрой землей, богатыми традициями и обычаями! Издревле на Алтай со всех сторон света приезжали те, кто мечтал о новой и лучшей жизни, и всех наш край принимал с достоинством и благодарностью, всем находилось место и дело. В Алтайском крае созданы благоприятные условия для межкультурной коммуникации, взаимодействия с ... 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 examples in this book are used to both motivate new topics and to help you practice your understanding of the material. You should attempt the examples 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. Here is where a solution would be, but be sure to think about the problem on your own first! (Careful: … Read more →

# R 语言学习笔记

## by Ruohan Li

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

# Practical 4 - Transforming variables and further examining model assumptions

## by Megan Ruffle

Practical 4 - Transforming variables and further examining model assumptions … Read more →

# Practical 2 - Understanding correlation and further exploring relationships

## by Team in Room 420 - Megan Ruffle, Naphon Olley, Jennifer James, William Ryan

Practical 2 - Understanding correlation and further exploring relationships […] After attending this lab, you should be able to use R to: In the lectures we learned how to assess the strength of a linear relationship between random variables using the correlation coefficient. The population correlation is a measure of the magnitude of the strength of the relationship between two random variables X and Y, and is defined as [\begin{equation} \rho(X,Y) = \frac{\text{Cov}(X,Y)}{\sqrt{\text{Var}(X)\text{Var}(Y)}}, \tag{1.1} \end{equation}] and can be estimated by replacing each of … Read more →

# Practical 6 - Variable Selection

## by Team in Room 420 - Megan Ruffle, Naphon Olley, Jennifer James, William Ryan

Practical 6 - Variable Selection […] After attending this lab, you should be able to use R to: In Chapter 3 of the lectures, we explored the use of confidence intervals in the selection of a model. We had already seen the use of (R^2) as a measure of the model’s goodness of fit and residual plots to check assumptions. These methods work best when there are only a small number of explanatory variables. We shall explore another technique for model selection. One approach to model selection is to start with a model containing all variables and use an automatic approach in order to determine … Read more →

# 510 Notes

## by Hao Sun

This is a notebook for STAT 510 for personal usage. […] This is a notebook for STAT 510, instructed by Dr. Dan Nettleton. The notes are based on the class notes from this webpage and should only be used for personal … Read more →

# Translational Bioinformatics with R

## by Zhaojie Zhang

This is a book of using R in Translational Bioinformatics. The output format for this example is bookdown::gitbook […] This book is written and rendered using the bookdown package, which can be installed from CRAN or Github: Two key steps to render the Book from the Github repo “gongchang/TBioR” and deploy it to bookdown.org: #{r} #bookdown::render_book(“index.Rmd”, “bookdown::gitbook”) #bookdown::publish_book() … Read more →

# Practical 1 - Exploring relationships and fitting linear models

## by Team in Room 420 - Megan Ruffle, Naphon Olley, Jennifer James, William Ryan

This is an example of using the bookdown package to write a ‘book’ for a lab. The output format for this example is bookdown::gitbook. […] Intended learning outcomes: produce scatterplots of report quality; fit linear regression models by using lm; interpret least squares estimates of model parameters; calculate least squares estimates of model parameters for simple linear regression. In the lectures we have examined relationships between variables using scatterplots. We have considered how to fit a linear model, through estimating the parameters such as (\beta) in the linear model (Y_i = … 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 →

# PREVENT-MINS PROTOCOL

## by Ośrodek Intensywnej Terapii i Medycyny Okołozabiegowej Collegium Medicum

Protokół badania klinicznego PREVENT-MINS. […] Iwabradyna w zapobieganiu uszkodzeniu mięśnia sercowego po operacjach pozasercowych - badanie PREVENT-MINS. Wersja 2.1 z dnia 10.03.2022 Główny badacz Prof. dr hab. n. med. Wojciech Szczeklik Adres: ul. Wrocławska 1-3, 30-901 Kraków, Polska Email: wojciech.szczeklik@uj.edu.pl Ośrodek koordynujący Nazwa: Ośrodek Intensywnej Terapii i Medycyny Okołozabiegowej Collegium Medicum UJ Adres: ul. Wrocławska 1-3, 30-901 Kraków, Polska Email: prevent@uj.edu.pl Komitet sterujący: Prof. dr hab. n. med. Wojciech Szczeklik Prof. Philip J. Devereaux MD, … Read more →

# OPIEKA OKOŁOOPERACYJNA

## by Pod redakcją prof. Wojciecha Szczeklika

Podręcznik powstał na podstawie artykułów opublikowanych na łamach czasopisma Medycyna Praktyczna & portalu intensywna.pl. [...] lek. Dorota Studzińska1, prof. dr hab. n. med. Wojciech Szczeklik2 Konsultacja: prof. dr hab. n. med. Dorota Zozulińska‑Ziółkiewicz Niniejszy artykuł został oparty na wytycznych Polskiego Towarzystwa Diabetologicznego (PTD). Dodatkowo, ze względu na dynamicznie zmieniające się trendy w opiece okołooperacyjnej – na przykład wzrost liczby zabiegów wykonywanych w trybie jednego dnia, wprowadzenie zasad protokołu ERAS (enhanced recovery after surgery – ... Read more →

# Theory in ecology and evolution with applications for a changing world

## by Andrew J. Rominger

Theory in ecology and evolution with applications for a changing world […] Foo foo foo Bar bar … 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 →

# Resampling method

## by Armando Teixeira-Pinto

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

# Probability Handouts

## by Kevin Ross

Kevin Ross A selection of Handouts for STAT 305 and STAT … Read more →

# Opieka okołooperacyjna

## by Podręcznik przygotowany na podstawie artykułów opublikowanych na łamach czasopisma Medycyna Praktyczna & portalu intensywna.pl

Opieka okołooperacyjna […] … Read more →

# Opieka Okołooperacyjna

## by Podręcznik przygotowany na podstawie artykułów opublikowanych na łamach czasopisma Medycyna Praktyczna & intensywna.pl

Opieka Okołooperacyjna […] … Read more →

# Normas Eleitorais 2022

## by Armando Nahmias

Normas Eleitorais 2022 […] Organização: ARMANDO NAHMIAS ASSESSOR DE … Read more →

# BASIC STATISTICS

## by Nannan Wang

BASIC STATISTICS […] … Read more →

# TLTE-889 Project

## by Nannan Wang

TLTE-889 Project […] … Read more →

# Effective Communication in Team Collaboration

## by Team 4WARD

Effective Communication in Team Collaboration […] This is a guidance written for prospective MBAn students at University of Michigan, Stephem M. Ross School of Business. Congratulations on your excellent academic performance and outstanding leadership that made you a proud Ross MBAn OYM student. Fig.1 MBAn Class of … 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 →

# Otago Marine Core Sediment Facility MPI Transitional Facility Manaual for Holding and Processing Uncleared Risk Goods

## by orca

Otago Marine Core Sediment Facility MPI Transitional Facility Manaual for Holding and Processing Uncleared Risk Goods … Read more →

# myblog - My Reading Logs

## by jwtsai

Welcome to this … Read more →

# 释放潜能：社会责任投资助力乡村振兴

## by 胡煦

2022年社会责任投资报告 […] 构建一个包容、平等的社会已经成为人们的普遍诉求；在地球可以承载的范围内追求物质繁荣也成为国际社会广泛认可的发展观念。对于中国而言，可持续发展离不开乡村振兴。构建包容社会需要缩小城乡差距，应对气候变化需要提高农民抵御气候风险的能力，而保护生态环境则需要改变粗放的农业生产方式。 达到这些目标，不仅需要提升农业农村基础设施、发展乡村产业，还需要提高公共服务水平、推动乡村生态产品价值实现。这些都需要资金投入，但地方主体普遍面临融资困境。县级财政捉襟见肘，影响乡村公共品的水平和质量。农村中小银行资本金不足，限制了它们进一步向农村地区市场主体提供信贷支持的能力。乡村的能人志士和企业家是内生动力，融资问题制约了他 … 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 →

# Data Integration, Manipulation and Visualization of Phylogenetic Trees

## by Guangchuang Yu

Master ggtree package suite to handle tree with data. […] I am so excited to have this book published. The book is meant as a guide for data integration, manipulation and visualization of phylogenetic trees using a suite of R packages, tidytree, treeio, ggtree and ggtreeExtra. Hence, if you are starting to read this book, we assume you have a working knowledge of how to use R and ggplot2. The development of the ggtree package started during my PhD study at the University of Hong Kong. I joined the State Key Laboratory of Emerging Infectious Diseases (SKLEID) under the supervision of Yi Guan … Read more →

# Introduction to R for Data Science: A LISA 2020 Guidebook

## by Jacob D. Holster

Introduction to R for Data Science: A LISA 2020 Guidebook […] Data science is emerging as a vital skill for researchers, analysts, librarians, and others who deal with data in their personal and professional work. In essence, data science is the application of the scientific method to data for the purpose of understanding the world we live in. More specifically, data science tasks emerge from an interdisciplinary amalgam of statistical analysis, computer science, and social science research conventions. Although other programming languages such as python exceed R in general popularity, R … Read more →

# Kinesiska

## by cda

Kinesiska […] R is a programming language and environment for statistical computing and graphics. This brief guide will get you … Read more →

# 现代科研指北

## by 于淼

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

# DOCUMENTATION AND METHODOLOGY

## by Olivier Adjonyo

This is a minimal example of using the bookdown package to write a book. set in the _output.yml file. The HTML output format for this example is bookdown::gitbook, [...] Kcov is a code coverage tool which analyzes which lines of code are executing and which are not executed when the test suite (e.g: test-unit or test-kat) runs. In other words, it helps us to measure the efficiency of tests implementations. Noticing that a function is not covered as expected can be a signal check if there is a test implementation for this function in the test-suite. If the coverage of a function ... Read more →

# R-Shiny-Book.knit

## by loankimrobinson

This book is for the beginner, intermediate and advanced R programmer looking to produce higher level reporting and advanced visualization techniques using R Shiny. […] … Read more →

# Introducción a la minería de datos

## by Jorge Herrera de la Cruz

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] Estas son las notas de clase para la asignatura de Fundamentos de Data Mining y Big Data del Grado en Inteligencia de Negocios de CEU San ... Read more →

# Statistika dan Sains Data untuk Bisnis

## by Aep Hidayatuloh

Menggunakan analisis data sebagai penunjang utama pengambilan keputusan dan pengembangan bisnis. 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. Tujuan utama dari buku ini adalah untuk membantu Anda yang ingin belajar analisis data menggunakan R melalui pendekatan bisnis ataupun Anda yang ingin belajar bahasa pemrograman R dari dasar. Contoh kasus yang disajikan diharapkan dapat memperdalam pemahaman pembaca mengenai materi dari sisi permasalahan bisnis yang dapat diselesaikan. Read more →

# R语言echarts4r中文手册

## by liubao

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] ECharts是一个基于JavaScript的开源可视化图表库，由于其交互性强、使用简单、界面美观、自定义程度强等特点被广泛应用，国内互联网公司内部多使用此开源库制作内部的数据中台或业务看板。ECharts最初由百度团队开源，并于2018年初捐赠给Apache基金会，成为ASF孵化级项目。John Coene将基于javascript的echarts库成功与R语言结合，构建成echarts4r包，使得R的使用 ... Read more →

# Interstate Conflict

## by Yuleng Zeng

This is a graduate-level seminar on interstate conflict. I started teaching this course at the University of Salzburg in 2022. The intention of maintaining this website is to facilitate my teaching and to keep track of the resources. Feel free to use this website for education purposes. If you see any errors or have suggestions, please do let me know (contact me). The syllabus of this class can be downloaded here: Conflict. Please right click on the link and download or open it in a new … Read more →

# Course script for SICSS Paris

## by Germain Gauthier, Felix Lennert, Étienne Ollion

This book serves as an accompanying script for the R sessions of the 2022 Summer Institute for Computational Social Science (SICSS), taking place at the Institut Polytechnique de Paris. […] Dear student, if you read this script, you are either participating in the SICSS itself or came across it while browsing for resources for your studies. In any case, if you find inconsistencies or mistakes, please do not hesitate to point them out by shooting an email to felix.lennert@ensae.fr. This script will introduce you to the automated acquisition and subsequent quantitative analysis of text data … Read more →

# A Guide to Getting Started with R

## by Pete Apicella

A Guide to Getting Started with R […] This is a guide to the text, Getting Started with R: An Introduction for Biologists 2nd … Read more →

# Long-form recordings: From A to Z

## by alecristia

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

# Report BSM

## by Bsmsimul

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

# ISTA 321 - Data Mining

## by Nicholas DiRienzo

Course content for ISTA 321 - Last updated for Summer 2022 […] 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 →

# Useful Terms in Statistics

## by Nannan Wang

Useful Terms in Statistics […] This book is created as a final project advised by Dr. Olmanson for TEAC-889. TLTE 889: Working with a faculty mentor on either an individual or small-group basis, the student plans, conducts, and reports a summative work … Read more →

# La tarification a priori

## by Abdoul Oudouss DIAKITE, Othmane ETTADLAOUI

Projet de tarification a priori […] L’assurance est une opération de transfert d’un risque ou d’une partie d’un risque d’un assuré à un assureur. Cette opération de transfert se fait par un paiement de prime par l’assuré à l’assureur. Ce dernier s’engage à indemniser son client en cas de survenance d’un sinistre pendant toute la période couverte par le contrat. La prime reçue par l’assureur doit refléter le risque qu’il est prêt à couvrir d’où la nécessité de se demander combien faut-il recevoir en prime pour assurer (\lambda) niveau de risque ? Dans ce projet, nous allons faire une étude … Read more →

# _main.knit

## by Cesar Nillaga, Milo Weller, Sophie Moore

This tutorial investigates the methods of hieararchial clustering. We investigated the usage of heirarchial clustering and how it could be applied to targeting groups using the spotify data. […] This tutorial will investigate what cluster analysis is and how it can be used to identify or predict groups with data. Our group focused on spotify data and we tried to group genres based on song characteristics. Later in this tutorial we will be using a dataset containing 15 different genres and through analysis we will see if we group similar genres together. Cluster analysis is a technique in … Read more →

# Data-driven publishing: Reproducible research with R, Quarto, and Github

## by Arthur Small

Arthur Small This course introduces tools and concepts of literate programming. Literate programming is an approach to creating documents that smoothly integrates data, code, and narrative writing. All analysts need to present their results in multiple formats: articles, slide decks, web sites, and so on. Traditional workflows for creating and publishing documents rely heavily on manual workflows, e.g., copy-and-paste. Traditional workflows are poorly suited to data-intensive analytic projects. This course will provide an introduction to an entirely different and better approach to scientific … Read more →

# Annalyse de données

## by Abdoul Oudouss Diakite, Othmane ETTADLAOUI

Ce projet d’analyse de donnés consiste à l’explication de différentes manières le nombre de crime aux Etats-Unis. […] Ce projet d’analyse de donnés consiste à l’explication de différentes manières du nombre de crime aux Etats-Unis. Pour se faire, nous disposons d’un jeu de disponible sur GitHub que nous appellerons Comminities(Télécharger) dorénavant. Le jeu de données dispose de 147 variables pour 2215 observations. Les valeurs manquantes sont représentées par “?”. De nombreuses variables sont incluses afin que les algorithmes qui sélectionnent ou apprennent les poids des attributs … Read more →

# Project in Data Analytics for Decision Making

## by Manon Verjus and Yooby Gigandet

Our work for the course “Project in Data Analytics for Decision Making” is to predict the credit risk linked to customers for our client, a German bank. To do so, we used the CRISP-DM method (CRoss Industry Standard Process for Data Mining): Business understanding: Credit risk is defined as the risk of loss resulting from the failure by a borrower to repay the principal and interest owed to the lender. By performing a credit risk analysis, the lender determines the borrower’s ability to meet debt obligations in order to cushion itself from losses. It is therefore important to efficiently … 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 →

# Computational 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 Computational Social Science. This seminar is taught by Paul C. Bauer at the University of Mannheim (Spring Semester 2022). The material was developed by Paul C. Bauer and heavily draws on material developed by other people (see script). Any original material and examples is licensed under a Creative Commons Attribution 4.0 International License. For potential future versions of the course see my website: www.paulcbauer.eu. If you … Read more →

# Tools for human-screen interactions

## by cjlortie

An adaptationist programme for digital work and life […] Screens are a portal to information and to one another. Nearly 5 billion people as of 2022 use the internet. Treating screens and digital time only as a pathology neglects the inherent capacity for screens as a tool to promote higher levels of performance and novel approaches to problem solving. Mental models and the associated cognitive architecture that we frame conceptually to decision making is critical for better choices. The screen adaptation theory (SAT) is proposed herein as a heuristic to enable individuals to use evidence … 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 →

# IV Ogólnopolska Konferencja Kół Nauk Psychologicznych Psychozjum

## by kpsychozjum

IV Ogólnopolska Konferencja Kół Nauk Psychologicznych Psychozjum […] … 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 sustailable with future Montclair State University I/O Psychology … Read more →

# MLFE R labs (2022 ed.)

## by Prof. Michela Cameletti & Tutor Marco Villa

Notes for the R labs of the MLFE course @ Unibg […] You are reading the lecture notes of the R labs for the Machine learning for Economics (MLFE) course at University of Bergamo (academic year 2021/22). The MLFE course is the second module of the Coding for Data Science course. The MLFE R labs are designed for students who already have some experience with R programming thanks to the first module of the Coding and Machine Learning course. Click here and here to access the R lab notes of the first module regarding introduction to R language and the tidyverse package. Enjoy the journey! … Read more →

# A Vulnerability Prediction Analysis

## by Luis Guerra, Elmer Oliveros, Roger Chauca

I created this project with the aim to express how a vulnerability can be interpreted using a graphical representation based on a information sample dataset caught from antivirus public database. […] Realizar un análisis y estudio de un conjunto de eventos y/o incidentes de seguridad informática que han sido generados por diferentes estaciones de trabajo y/o usuarios de una empresa al usar los recursos de red, para poder determinar cuál es tipo de malware más común, bajo que escenario se han producido estos eventos, así como investigar e intentar predecir la cantidad de eventos a futuro. … Read more →

# Landscape characteristics influence projected growth rates of stream-resident juvenile salmon in the face of climate change in the Kenai River watershed, southcentral Alaska

## by Benjamin Meyer

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 describes selected analyses undertaken in the Transactions of the American Fisheries Society (TAFS) manuscript by Meyer et al., in review April 2022. The document outlines the modifications to analyses requested by the reviewers and editors on the draft submitted in February 2022. The current draft in progress of the manuscript, along with the draft reconciliation and response to the TAFS decision letter, can be accessed and are available for … 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 →

# 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 section1 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 … Read more →

# Curso R 2022 Jueves

## by Roberto C. Duarte

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] Bienvenidos al curso básico del paquete estadístico R, el objetivo del curso es proporcionar a los estudiantes las herramientas de la estadísica básica desarrollada en el lenguaje R. El contenido, en general del curso es el siguiente Se creó un aula virtual en Schoology, el código de acceso es: VWXB-7XPB-MD6PP, ademas se creo un grupo en Telegram para tener una mejor comunicación, para agregarse hacer click en el siguiente enlace: Grupo en Telegram. La … Read more →

# Fundamentals of bioacoustics using smartphones and R

## by Dena J. Clink, Isabel A. Comella & Maryam Zafar

Fundamentals of bioacoustics using smartphones and R […] The purpose of this lab exercise is to introduce students to bioacoustics, or the study of animal sounds and their habitats. For the field component, students use their smartphones to collect focal recordings of target animals as well as collect acoustic data that will be used to investigate variation in soundscapes at different times (e.g. dawn and dusk) and/or different locations (e.g. urban versus rural). The computer lab component utilizes the R programming environment to import sound files and visualize differences in acoustic … Read more →

# Modern Statistical Methods for Psychology

## by Mine Çetinkaya-Rundel and Johanna Hardin, tuned by Gregory Cox

This is the website for Modern Statistical Methods for Psychology, a modified version of Introduction to Modern Statistics, First Edition by Mine Çetinkaya-Rundel and Johanna Hardin, as modified by Gregory Cox. The original Introduction to Modern Statistics is a textbook from the OpenIntro project. — Version date of this modification: May 24, 2022. The original version of the Introduction to Modern Statistics textbook and its supplements, including slides, labs, and interactive tutorials, may be downloaded for free atopenintro.org/book/ims. This textbook is itself a derivative of OpenIntro … Read more →

# A Minimal Book Example!!

## by John Doe

# Thesis Aim 3

## by Gabriel Carrasco-Escobar

Aim 3 […] This study … Read more →

# Categorical Regression in Stata and R

## by Rose Werth

This website contains lessons and labs to help you code categorical regression models in either Stata or R. […] This website houses all the information you need learn the basics of coding a number of different categorical and count models in Stata and R. It will not contain all the information taught in class, but will allow you to bridge that knowledge into running these models on your own. The Stata labs on this website were adapted from materials by Ewurama Okai. This course will contain 8 labs and an optional review lab at the end of the course. Our lab sessions will alternate between … Read more →

# Enlighter

## by Peter

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] This is my first book written by R studio. I treat this as a project because I want to pour out everything inside my brain into this writing project. It will contain the following contents: I can’t promise that these contents are all worthy of reading, but I can guarantee that they all come from my live experience. Hope you enjoy it. I have tried many ways to motive myself to write. I have built blogs with WordPress ... Read more →

# Quick R for Statistics

## by Chia-Ching Wu

A book created with bookdown. […] R語言是免費的軟體，是進行統計分析很好的工具。 … Read more →

# jamovi完全攻略ガイド

## by 芝田 征司

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

# AI and Machine Learning For Finance 2021/22

## by Michela Cameletti

Notes for the R labs of the AIMLFF course @ Unibg […] You are reading the lecture notes of the R lectures for the AI and Machine Learning for Finance (AIMLFF) course at University of Bergamo (academic year 2021/22). See here for more details. In this notes R programming language for data science will be introduced (with respect to data manipulation, data visualization and communication and implementation of machine learning methods). For this part I suggest the following on-line book: Enjoy the journey! In the following lecture notes, this font (with grey background) represents R code. The … Read more →

# A Collection of small Skills

## by Kan Lei

The collection help me to rember some small Skills, some like the R or M Functions. […] A collection of some skills, that can’t be finded, wenn I need … Read more →

# Úvod do analýzy údajov pomocou R

## by Tomáš Bacigál

Základy jazyka R a úvod do Data Science: prieskumná analýza, transformácia údajov (dplyr), vizualizácia (ggplot2), čistenie údajov (tidyr), interaktívne grafy (htmlwidgets, shiny, …), komunikácia (RMarkdown), efektívne programovanie (parallel, RCpp, RSQLite). […] I don’t think anyone actually believes that R is designed to make everyone happy. For me, R does about 99% of the things I need to do, but sadly, when I need to order a pizza, I still have to pick up the telephone. (Roger D. Peng, r. 2004) Tento citát vystihuje univerzálnosť softvérového nástroja R1. Tak ako u viacerých „open … 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, or buy a physical copy from CRC Press, Bookshop.org, or Amazon. This online work by Emil Hvitfeldt and Julia Silge is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International … Read more →

# A Practical Guide to Sensitivity Analysis for Causal Effects in the Presence of Non-Ignorable Loss to Follow-Up

## by Aleya Khalifa and Gloria HJ Graf

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] Welcome! This tutorial provides a roadmap for sensitivity analyses to assess the impact of loss to follow-up on causal effect estimates. In particular, we introduce and implement a multiple-imputation-based pattern-mixture approach to MNAR mechanisms based on previous work by Leurent et al. (2018 Pharmacoeconomics). This tutorial is intended for any public health researcher who is seeking an easily implemented, ... Read more →

# Science 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 for use with the book Scientific Research and Methodology, which is an introduction to quantitative research methods in the scientific, engineering and health disciplines. This book is an introduction to quantitative research methods in the scientific and health disciplines, and introduces the whole research process, from asking a research question to analysis and reporting of the data. The focus, however, is … Read more →

# Modelos lineales y aditivos en ecología

## by Facundo X. Palacio

Scripts del curso […] A continuación se presentan las medidas del tamaño corporal en adultos de tres especies de pingüinos en islas del Archipiélago Palmer, Antártida. [y = \beta_0 + \beta_1 x + \epsilon] [\epsilon \sim N(0, \sigma^2)] [y = \beta_0 + \beta_1 x_1 + \beta_2 x_2 + … + \beta_n x_n + \epsilon] [\epsilon \sim N(0, \sigma^2)] Analizaremos la relación entre la longitud del pico (bill_length_mm), masa corporal (body_mass_g) y alto del pico (bill_depth_mm) en pingüinos Adelia (Pygoscelis adeliae). Se muestran los tiempos de coagulación sanguínea (min) en conejos bajo el … Read more →

# Lessons from the Bible

## by Ibukun Oni

This is an electronic copy of all I have learned from my Bible Study time since beginning of 2022. It is meant as a way for me to document what I am learning in the Bible. It will also be a good starting point to further developing my understanding of who Jesus is and How i am to relate with Him., […] This is an electronic copy of all I have learned from my Bible Study time since beginning of 2022. It is meant as a way for me to document what I am learning in the Bible. It will also be a good starting point to further developing my understanding of who Jesus is and How I am to relate with … Read more →

# The Data Files

## by Peter K. Dunn and Margaret Marshman

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

# Curso R 2022

## by Roberto C. Duarte

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] Bienvenidos al curso básico del paquete estadístico R, el objetivo del curso es proporcionar a los estudiantes las herramientas de la estadísica básica desarrollada en el lenguaje R. El contenido, en general del curso es el siguiente Se creó un aula virtual en Schoology, el código de acceso es: ZK57-M28G-669QR, ademas se creo un grupo en Telegram para tener una mejor comunicación, para agregarse hacer click en el siguiente enlace: Grupo en Telegram. La … Read more →

# Decision Modeling Lab Manual

## by Alton Russell and lab members

Alton Russell and lab members Welcome to the lab manual for the Decision Modeling Lab within the McGill Clinical & Health Informatics research group! This manual has two main purposes: first, as an introduction to our ways of working for new team members and second, as a resource we can all refer back to and build upon. It is also public in the hope that other research groups may benefit. The manual was started by Alton Russell, PhD, the lab lead, but all team members are encouraged to continually improve this document by updating/clarifying existing information and adding new components that … Read more →

# Modul Praktikum Perancangan Percobaan

## by Fardilla Rahmawati, Muhammad Ammar Sahab

Ini adalah modul Praktikum STA 222: Metode Perancangan Percobaan. Materi-materi praktikum akan dimasukkan di buku ini. [...] Buku ini akan mengadung materi-materi praktikum Metode Perancangan Percobaan. Materi satu pertemuan akan dimasukkan di satu bab1. Tiap bab akan mengandung bagian teori dan kode di R dan LaTeX. Slide dan recording praktikum disimpan di Google Drive dan materi-materi kuliah disimpan di LMS IPB. misal, Bab 5 dari buku ini akan membahas pertemuan ... Read more →

# Introdução ao R

## by Weverton Lisboa de Sena, Luiz Henrique dos Santos Fernandes

Curso introdutório da linguagem R com análise de dados públicos brasileiros. […] Os dados são uma coisa preciosa e durarão mais do que os próprios sistemas. Graças aos enormes avanços computacionais vivenciados nos últimos anos, podemos guardar, compartilhar e consumir facilmente uma quantidade de dados inimaginável há 20 anos. Segundo artigo publicado pela Accenture, o mundo produz 5 exabytes de dados por dia, ou seja, o equivalente a 1 bilhão de gigabytes. Em 2025, conforme a mesma fonte, produziremos cerca de 463 exabytes por dia, algo equivalente a todo o volume de dados produzidos em … Read more →

# Perbandingan Smoothing, ARIMA, dan ARIMAX untuk prediksi harga minyak mentah

## by Adley Dityo Valentinus Putra (G14180009), Muhammad Ammar Sahab (G14190020), Putri Eka Perdanti (G14190027), Farhan Narendra Achyara (G14190050), Grashella Clara Nesa Br Ginting (G14190086)

Laporan Tugas Akhir MPDW (Kelompok 10) […] https://bookdown.org/mammarsahab3/LaporanMPDW/ Laporan ini akan membandingkan beberapa metode peralaman deret waktu untuk data harga minyak mentah. Metode tersebut akan dilatih menggunakan harga minyak mentah dari tahun 2009 sampai 2016, lalu diuji dengan meramal harga minyak mentah tahun 2017. Pembagian tersebut juga dilakukan di (He 2018), yang membandingkan model deret waktu seperti pemulusan dan ARIMA dengan model pembelajaran mesin (SVM). Berbeda dengan penelitian tersebut, penelitian ini akan menambahkan jenis pemulusan yang dipakai, serta … 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 →

# A Rishi Bookdown Book

## by Rishi Goutam

Everything you need (and nothing more) to start a bookdown book. […] This is the very first part of the book. I am using RStudio with the bookdown package for creating this book. Sean Kross’s blog article was extremely helpful in getting me to understand how this works with GitHub Pages for automatic hosting. 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 … Read more →

# Pengantar R

## by DataGood.id

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. […] Sebagian orang cenderung menghindari mempelajari statistik karena materi yang muncul merupakan rumus ataupun angka-angka yang kerap kali sulit untuk dimengerti. Namun dalam ilmu sosial, statistik diperlukan untuk meneliti kehidupan masyarakat dan hubungan sosial berupa metode yang objektif dan sistematis untuk menjelaskan dan memberikan interpretasi terhadap hasil penelitian. Menurut Wimmer dan Dommick (2011), statistik dapat … Read more →

# R you Ready for R?

## by Wade Roberts, Colorado College

This e-book offers generic scripts for conducting core statistical analyses. They should be considered a starting point, not an end point, in your exploration of R. […] This e-book offers generic scripts for conducting core statistical analyses, from calculating statistics to producing tables or graphing results. These scripts should be considered a starting point, not an end point, in your exploration of R. The following chapters … Read more →

# Plano de Curso de Ciência de Dados

## by Robson Wilson Silva Pessoa

Plano de Curso de Ciência de Dados […] Formatação da capa do relatório a … Read more →

# Coding Guide

## by yifan_wang

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

# Raport cykliczny

## by LIFE Pilica +

Raport cykliczny dotyczący sytuacji społeczno - ekonomicznej 93 gmin zlokalizowanych na obszarze Zlewni rzeki Pilicy […] Uwaga: dokument w trakcie opracowywania. W kolejnych iteracjach zostaną dołączone dodatkowe rozdziały oraz wprowadzone zmiany edycyjne. W niniejszym „Raporcie” przedstawiono charakterystykę wybranych aspektów sytuacji społeczno – ekonomicznej 93 gmin znajdujących się na obszarze Zlewni Pilicy („Zlewnia”). Zestawienie ww. gmin, wchodzących w skład 21 powiatów i pięciu województw, zostało zaprezentowane w Załączniku nr 1 do opracowania. Opracowanie zostało przygotowane w … Read more →

# Data Analytics with R

## by Brian Machut, Nathan Cornwell

This module will teach the basics of data analytics using R. […] Welcome to the University of Minnesota’s Data Analytics with R module - presented by Optum. In this module, you will perform a case study designed to replicate a real-world analytics process that you may encounter in your future career as an actuary or data analyst. The module will be broken down into 7 chapters that you will complete over the course of 4 class periods (roughly 2 weeks time). As you work through the chapters, you will learn how to import data, summarize and visual data, create a predictive model, and interpret … Read more →

# Evaluating Geospatial and Temporal Trends in Payments to Primary Care Physicians in the United States

## by Meredith Brown

Evaluating Geospatial and Temporal Trends in Payments to Primary Care Physicians in the United States […] The Sunshine Act led to the recent availability of comprehensive data on pharmaceutical industry payments to hospitals and physicians via the Open Payments system. Primary care physicians are the chief way many Americans interact with the healthcare industry. However, there is not much literature on the relationship between these gateway physicians and the pharmaceutical industry. This study analyzes data from the Open Payments system from 2015-2020 for payment characteristic, … Read more →

# Stability Of Industry Level Climate Coalitions: A Computational Framework for Environmental Governance In Maritime Shipping

## by Feryel Lassoued and James Nolan

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] Emissions from the global maritime sector currently account for about 3% of global greenhouse gas emissions and are projected to increase by 150–250% in 2050 under business-as-usual scenarios with a tripling of world trade. (Bouman et al., 2017, p. 413) To try to address these issues, on January 1, 2020, the International Maritime Organisation (IMO) implemented new regulations for a 0.5% global sulphur cap for marine ... Read more →

# Making maps for conservation - GIF and interactive maps

## by Emilie Dedeban

This is a minimal example of using the bookdown package to write a book. set in the _output.yml file. The HTML output format for this example is bookdown::gitbook, […] Creating a map has many benefits. Firstly, it allows to get information that is not visible or difficult to understand in a table. Secondly, it makes the subject more interesting. With the development of mapping tools, it is now possible to make animated map, or even collaborative. In this manual you will learn how to make a GIF and a collaborative map. These types of tools are essential assets for presentations, but also for … Read more →

# The JW Tsai

## by jwtsai

© 2022 JW Tsai … Read more →

# Engagement Survey Technical Report

## by Eagle I.O

This is a technical report that contains the development of the Eagle IO Engagement survey. The output format for this example is bookdown::gitbook. […] This is a report that documents the technical details regarding the development of the Eagle I.O Engagement survey. This report was written with bookdown (Xie, 2022a) within rMarkdown (Allaire et al., 2019) using R version 4.1.3 (R Core Team, … Read more →

# Epistemic Network Analysis Web Tool User Guide

## by tan78

This is an introduction to the Epistemic Network Analysis web tool. […] This is the website for Epistemic Network Analysis Web Tool User Guide. This user guide demonstrates how to conduct an Epistemic Network Analysis (ENA) using the ENA web tool. Topics covered in this user guide include how to format data, upload data, construct an ENA model, perform statistical analysis, understand ENA visualizations, and interpret ENA model. Before you dive into this user guide, please keep in mind that this user guide is designed with a focus on utilizing the web tool itself, instead of discussing the … Read more →

# BS0005: One Health

## by Kevin

A gitbook-style website authored for the course HE9091: Principles of Economics. […] This is a gitbook-style website authored for the SBS course BS0005: One … Read more →

# 20IMCAL204 STATISTICS LAB- Laboratory Manual

## by Department of Mathematics

This manual is generated using Bookdown for internal use only […] This course is designed as a Computational Statistics Laboratory (CSL) comprised of 29 experiments selected from the Statistical Courses in INMCA Programme. Details of experiments and the instructions regarding creation & submission of laboratory reports are explained in this introductory chapter. Familiarization of environments in R. Perform simple arithmetics using R. Perform basic R functions. Use various graphical techniques in EDA. Create different charts for visualization of given set of data. Draw a Pareto chart to … Read more →

# HBAP R Reference Guide

## by Harvard Business Analytics Program

This reference guide provides an overview of all the R commands you will need to know throughout HBAP. […] This site is intended to serve as a general reference for all of the R commands you will learn throughout the HBAP program. For a single sheet with all commands on one page, see the Google Sheet … 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 →

# The Book of Behavior Change

## by Rik Crutzen & Gjalt-Jorn Ygram Peters

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

# Best Coding Practices for R

## by Vikram Singh Rawat

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

# Biostatistics for Clinical Research

## by Sean Collins

This is an open educational resource (OER) book for Biostatistics for Clinical Research: Theory & Applications in R using the bookdown package in RStudio. The output format for this example is bookdown::gitbook. […] This version has been written in Scrivener, exported as plain text as a single index.Rmd file and then used to build the book. If this worked, then it’s an entirely new workflow for writing and self publishing books that takes advantage of the organizing and writing features of Scrivener, and the computational analysis and publishing features of R, Rmarkdown and Bookdown. At … Read more →

# Pengelompokan Kualitas Hidup Komuter dengan K-Means Clustering

## by Rezky Yayang Yakhamid

Syntax R berikut ini diajukan sebagai jawaban ujian akhir semester (UAS) tidak terstruktur yang diujikan Politeknik Statistika STIS mata kuliah Data Mining (Semester 7) tahun 2021. Diselesaikan pada tanggal 13 Desember 2021 dan dirapikan kembali pada tanggal 1 April 2021 sebagai bahan belajar. Dataset yang digunakan dalam syntax ini dapat dilihat di https://github.com/rezkyyayang/syntax/tree/main/K_Means_Kepuasan_Hidup_Komuter/ Semoga bermanfaat. Komuter adalah seseorang yang melakukan perjalanan ulang-alik dalam satu hari (pergi dan pulang) secara terus menerus yang biasanya oleh karena … Read more →

# Primer on Mathematical Statistics

## by Peter K. Dunn

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

# Teste de progresso

## by Alexandre Jaloto

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] Análises do teste de ... Read more →

# Statistical Thinking for Linguists

## by Sakol Suethanapornkul

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] Linguists study language from diverse perspectives and specialize in particular areas within the field of linguistics. Regardless of perspectives and methodologies, linguists must work with language data. In some cases, l There are many reasons why linguists should learn to use R. R is free! I love working with R, particularly the tidyverse ... Read more →

# Matemáticas I-II UCM

## by Jorge Herrera de la Cruz

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] Estas son unas notas de clase escritas en Markdown para la docencia de Matemáticas I y II en el grado de Economía UCM ¡Disfrútalas y, si encuentras algún error, escríbeme a jorherre@ucm.es ! You can render the HTML version of this example book without changing anything: Find the Build pane in the RStudio IDE, and Click on Build Book, then select your output format, or select “All formats” if you’d like to use multiple ... Read more →

# Thực hiện Phân tích gộp với R

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

Đây là một cẩm nang hướng dẫn cách thực hiện một Phân tích gộp bằng ngôn ngữ R. […] Chào mừng bạn đã tới phiên bản trực tuyến của cuốn sách “Thực hiện Phân tích gộp với R: Hướng dẫn thực hành”. Cuốn sách này đóng vai trò giới thiệu các cách tiếp cận để có thể tiến hành các phân tích gộp bằng ngôn ngữ R. Các bước cơ bản để tiến hành phân tích gộp sẽ được đề cập, bao gồm tổng hợp các đo lường đầu ra, forest plots, phân tích tính không đồng nhất (heterogeneity), phân tích theo nhóm (subgroup analyses), hồi quy gộp (meta-regression), các phương pháp để kiểm soát sai số xuất bản (publication … Read more →

# Lecture Notes in Business Analytics

## by Amr Farahat

This is an evolving document […] These lecture notes are in an early stage of development. Stay tuned. Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International … 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 →

# Outstanding User Interfaces with Shiny

## by David Granjon

A book about deeply customizing Shiny app for production. […] By Kenton Russel aka @timelyportfolio Since the initial commit (https://github.com/rstudio/shiny/commit/e28b3da1badfecb34235e74a43aac4e8da1641bc) of Shiny in June 2012, the project has grown rapidly with users around the world across nearly every domain. Until 2021, strangely though, there was nearly zero comprehensive resources collecting the scattered wisdom and experience of thousands of Shiny users and developers into a single definitive resource. While, Hadley Wickham’s Mastering Shiny book (Hadley 2021) focuses on providing … Read more →

# CM5003: From Alchemy to Chemistry

## by Kevin Fo

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] This is a gitbook-style website authored for the elective CM5003: From Alchemy to Chemistry. The website contains my notes for the lectures and selected documentaries. By the time that you are seeing this website, weeks, months, or even years may have passed, hence rendering the website’s content outdated (assuming that no updates are ... Read more →

# FINM2002/FINM7041

## by Tiger Qu

ANU Morange Class […] This is course overview for FINM2002/7041 ANU MOrange Class. Please check the course schedule … Read more →

# MICROSTRUCTURAL FAULT ANALYSIS IN ROCCHETTA E CROCE (MONTE MAGGIORE, CE)

## by Roberta Parlavecchia

TESI DI LAUREA SPERIMENTALE IN GIS E PERICOLOSITA’ IDROGEOMORFOLOGICA […] A fault is a planar fracture of the earth’s crust that places two parts of the earth’s rock (fault blocks) in internal contact that slide relative to each other due to forces on the Earth. A fault is roughly described as a plane defined by dip-direction/dip and a slip vector defined by trend and dip. Depending on the direction of the main ones involved, the fault plane assumes a typical spatial arrangement, and the two fault blocks will move (relative displacement) with different kinematics. Movement along a fault can … Read more →

# Linear Regression in Stata and R

## by Rose Werth

This website contains lessons and labs to help you code linear regression in either Stata or R. […] Welcome to your guide to learning linear regression in Stata and R. This website houses all the information you need learn the basics of coding linear regression in Stata and R. It will not contain all the information taught in class, but will allow you to bridge that knowledge into running linear regressions on your own. The Stata labs on this website were adapted from materials by Ewurama Okai. This is a 10-week course with 9 labs. Each lab will focus on some topic related to coding linear … Read more →

# LECTURE NOTES OF STAT 3202

## by Dr. Pratheesh P. Gopinath

A BOOK FOR UNDERGRADUATE PROGRAMME IN AGRICULTURE […] Welcome to the book LECTURE NOTES ON STATISTICAL METHODS AND … Read more →

# Proyecto Migración

## by Equipo Investigación

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] El Salvador cuenta con un instituto especializado en migración que publica datos sobre este tema: la Dirección General de Migración y Extranjería de El Salvador (DGME). El apartado de estadísticas del sitio oficial no tiene ningún contenido. Al parecer, los datos se encuentran en el sitio de Transparencia del gobierno. Se recomienda hacer uso de los filtros o el buscador para optimizar las búsquedas. https://www.transparencia.gob.sv/institutions/dgme/documents … Read more →

# Technical Guide for Estimating Building Rooftop Solar Potential in a City

## by Einav Grinberg

A technical guide for mapping rooftop solar potential in a city using open source data and software. […] In 1990, cities accounted for 45% of global final energy use, but by the end of 2020, this share had risen to approximately 75% and cities release a similar share of global energy-related CO₂ emissions. Today, most of the world’s energy supply is generated from fossil fuels, coal, oil, and natural gas. Fossil fuels are non-renewable sources of energy, and their use has a negative impact on the world’s economy, ecology, and climate.1 Therefore, the use and need for renewable energy … Read more →

# DATA 3320 Data Science Methodology and Applications

## by Brian Fischer

Hello. This is your course reader for DATA 3320 Data Science Methodology and Applications. Use the chapters of the reader to guide your work through each project. You will find the associated R Markdown file for each project on … Read more →

# An Introduction to Bayesian Reasoning and Methods

## by Kevin Ross

This textbook presents an introduction to Bayesian reasoning and methods […] Statistics is the science of learning from data. Statistics involves We will assume some familiarity with many of these aspects, and we will focus on the items in italics. That is, we will focus on statistical inference, the process of using data analysis to draw conclusions about a population or process beyond the existing data. “Traditional” hypothesis tests and confidence intervals that you are familiar with are components of “frequestist” statistics. This book will introduce aspects of “Bayesian” statistics. We … Read more →

# 地球系统科学导论

## by 田丰 武汉大学遥感学院

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] 武汉大学遥感学院本科生专业选修课“环境保护与规划”从开始招收本科生起，一直由万幼川教授主讲，万教授讲授的内容分为5大部分，包括：遥感在环境中的应用、环境概论、大气污染及污染扩散模型、水质模型与水质信息系统、植被生态模型，后因课时数下调至32个，万教授删减了植被生态模型部分。2022年开始，在万教授退休之际，我将课程接手过来，正赶上武汉大学进行2023版本科生培养方案修订， ... Read more →

# Modelos Estadísticos

## by content

Modelos estadísticos. Una visión práctica. […] Este compendio de unidades sobre modelización estadística trata de mostrar una versión aplicada para el tratamiento de los modelos estadísticos más básicos. El objetivo no es mostrar una versión teórica de estos modelos sino una versión aplicada. Se recomienda a los lectores interesado que complementen la teoría de estos modelos con manuales más específicos. Para poder seguir los contenidos aquí expuestos se recomiendan conocimientos básicos de estadística descriptiva, probabilidad e inferencia estadística, así como las funciones de R … Read more →

# Simulación de Procesos y Sistemas

## by content

Manual práctico sobre simulación de procesos y sistemas […] La simulación es una de las herramientas de modelización probabilística más utilizadas en la industria. Se utiliza para el análisis de sistemas existentes y para la selección de sistemas óptimos a partir del planteamiento y comparación de diversos escenarios plausibles. Ejemplo 0.1 Por ejemplo, supongamos que un gran supermercado ha estado recibiendo quejas de los clientes sobre el tiempo que pasan en la cola esperando una caja disponible para pagar. La dirección ha decidido añadir algunas cajas más, pero ha de decidir cuántas … Read more →

# R 로 하는 Mixed Model

## by Michael Clark m-clark.github.io Translator : 김설기

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 Translator : 김설기 … 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 →

# BS1009: the Extra Bits

## by Kevin the TA

A gitbook-style website authored for BS1009. […] This is a website I (Kevin) made to collate all of the material that I would have discussed throughout my TA-ing sessions in BS1009! To navigate the website, note the following: If this website is helpful, do spread the love by clicking on one of the social media logos on the top right hand corner of your … Read more →

# Introduction to Computational Finance and Financial Econometrics with R

## by Eric Zivot

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

# 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 →

# Business Intelligence II - Anvendt Machine Learning

## by Mads Stenbo Nielsen

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] Første modul omhandler en generel introduktion til softwareprogrammet R (https://www.r-project.org/). Her gengives en række eksempler på R-kode samt det tilhørende R-output for at illustrere forskellige grundlæggende funktionaliteter i programmet. Programmet R tager koder som input, så hver gang man skal have udført noget, skal man skrive de(n) relevante kode(r), som herefter eksekveres af programmet og giver det ... Read more →

# SIDS-Related Deaths in Cook County, IL

## by Daniel P. Hall Riggins

An public health analysis of SIDS-related mortality […] This analysis seeks to describe, map, and model the number of Sudden Infant Death Syndrome (SIDS)-related deaths in Cook County, IL census tracts for the purposes of public health interventions. Image credit to JAMA … 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 →

# Exemplo Livro Git (18/02/2022)

## by John Doe

# R for Data Science - 한국어

## by 해들리 위컴, 개럿 그롤문드, 번역-김설기, 최혜민

A book created with bookdown. […] 이 곳은 해들리 위컴과 개럿 그롤문드의 책 “R for Data Science” 의 한국어 번역 (번역: 김설기, 최혜민)입니다. 원어 웹북이 현재 2판 업데이트되고 있으며, 이에 따라 본 한국어웹북도 업데이트 중입니다. 본 웹북은 RMarkdown 과 bookdown 으로 작성되었으며, 소스코드는 https://github.com/sulgik/r4ds 입니다. 영문의 연습문제해답도 볼 수 있습니다. 종이책(1판)은 알라딘 등에서 구입할 수 … Read more →

# My Website

## by joao_msoutomaior

Hello, Website! For more information about simple R Markdown websites, please read the documentation at https://bookdown.org/yihui/rmarkdown/rmarkdown-site.html. Please also note that simple R Markdown sites are not based on blogdown. They are probably good for websites with only a few Rmd documents. For larger-scale and more sophisticated websites (such as blogs), you may want to use blogdown instead: https://github.com/rstudio/blogdown. … Read more →

# Research Guide

## by Alma A. Bezares Calderón

Research Guide […] Doing research is like baking: it requires structure (you need to follow a series of steps), but it also requires passion and some magic. It requires Deep Work, and a clear commitment to produce something that helps us understand the world a little bit better. In this Guide, I will introduce some of the elements that will help you produce a great research project. Just as with a baking book, I will introduce some of the elements and stages you need to follow in producing your research paper. But it is important that you also feel free to include your own magic. Use the … Read more →

# 🃏 Probability I

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

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

# Probability

## by Michael Foley

Notes cobbled together from books, online classes, etc. to be used as quick reference for common work projects. […] These are notes from books, classes, tutorials, vignettes, etc. They contain mistakes, are poorly organized, and are sloppy on fundamentals. They should improve over time, but that’s all I can say for it. Use at your own risk. The focus of this handbook is probability, including random variables and probability distributions. Not included here: statistics, machine learning, text mining, survey analysis, or survival analysis. These subjects frequently arise at work, but are … Read more →

# Presentación

## by cristianbonavida

Nos propusimos trasncribir al lenguaje R y Python los apéndices del libro Pobreza y Desigualdad en América Latina de Gasparini, Cicowiez y Sosa Escudero que originalmente fueron escritos para Stata. […] Nos propusimos trasncribir al lenguaje R y Python los apéndices del libro “Pobreza y Desigualdad en América Latina” de Gasparini, Cicowiez y Sosa Escudero que originalmente fueron escritos para Stata y que permitían replicar los datos e información presentados por los autores en el texto. Cada capítulo consta de un apéndice con códigos que permiten llevar a la práctica los conceptos … Read more →

# Companion to Stock and Watson’s Intro to Econometrics

## by John Stone

This is a minimal example of using the bookdown package to write a book. set in the _output.yml file. The HTML output format for this example is bookdown::gitbook, [...] I’ve written this booklet as a companion to Stock and Watson (2019). I will assign sections for you to read before coming to class. This will give us time in class to address common misconceptions and ask new questions. I recommend you read the corresponding material in Stock and Watson (2019) after you have read the chapter in this companion text and either before or after our in-class ... Read more →

# Bookdown Template

## by Rethink Priorities

Bookdown Template […] This book is a bookdown template to be used for various projects of the Rethink Priorities survey team. The main goal of this book is to serve as a skeleton project that can be copied and used in other projects. Additionally, it contains some chapters that serve as tutorials for different features of this bookdown format. Please add yourself to the list below to acknowledge your contributions. Willem Sleegers: willem@rethinkpriorities.org David Reinstein: dreinstein@rethinkpriorities.org … Read more →

# Manual de R

## by Valen Terés

Guía breve para trabajar con data frames. Incluye descripción de las fuciones utilizadas […] En este manual se detallan los pasos a realizar para: La estructura es la … Read more →

# Predictive Analytics: The Code Book

## by Prof Dr Matthias Bogaert

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

# An(other) introduction to R

## by Felix Lennert

This is a gentle introduction to R and the basic usage of some tidyverse packages (dplyr, tidyr, ggplot2, forcats, stringr) for data manipulation and visualization. […] Dear student, in the following, you will receive a gentle introduction to R and how you can use it to work with data. This tutorial was heavily inspired by Richard Cotton’s “Learning R” (Cotton 2013) and Hadley Wickham’s and Garrett Grolemund’s “R for Data Science” (abbreviated with R4DS). The latter can be found online (Wickham and Grolemund 2016). We will not immediately start out with the packages from the tidyverse … 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 →

# Deliberativ meningsmåling i Bergen

## by Sveinung Arnesen, Anne Lise Fimreite, Jon Kåre Skiple

Rapport til Byrådet i Bergen om gjennomføringen av deliberativ meningsmåling i Bergen, 12. juni 2021 […] Denne rapporten presenterer resultatene fra en deliberativ meningsmåling i Bergen sommeren 2021. Arrangementet ble gjennomført som et ledd i det forskningsrådsfinansierte prosjektet Demokratisk innovasjon i praksis: Forskning på medvirkning og legitimitet i kommunale beslutningsprosesser (Demovate) (prosjektnummer 295892). Prosjektansvarlig er Bergen kommune, og faglig ledes prosjektet av forskningsinstitusjonen NORCE. Samarbeidspartnere er Universitetet i Bergen og Stanford University. … Read more →

# STM1001: Introduction to Bioinformatics in R

STM1001 Bioinformatics (Science/Health Science/Data Science Modules) […] Welcome to another content supplement for the STM1001 Science, Health Science and Data Science modules. Throughout the semester, as we cover different aspects of statistics and data science, supplementary documents such as this one will be used to enhance your learning experience. This document contains material to support your learning as you complete Computer Labs 7B and 8B of the Science, Health Science or Data Science modules. We recommend that you take a few minutes to browse the different sections in this … Read more →

# Bio Ciencia de Datos

## by jp_6

Curso libre de ciencia de datos y modelos en R/Python. Este es un ejemplo mínimo del uso del paquete bookdown para escribir un libro. […] Curso abierto de ciencia de datos y modelos en R/Python. Con aplicaciones en ciencias actuariales y … Read more →

# Economic Statecraft

## by Yuleng Zeng

This is a graduate-level seminar on economic statecraft. I started teaching this course at the University of Salzburg in 2020. The intention of maintaining this website is to facilitate my teaching and to keep track of the resources I use. Feel free to use this website for education purposes. If you see any errors or have suggestions, please do let me know. The syllabus of this class can be downloaded here: EconomicStatecraft. Please right click on the link and download or open it in a new … Read more →

# Chinese Foreign Policy

## by Yuleng Zeng

This is a graduate-level seminar on Chinese foreign policy. I started teaching this course at the University of Salzburg in 2021. The intention of maintaining this website is to facilitate my teaching and to keep track of the resources. Feel free to use this website for education purposes. If you see any errors or have suggestions, please do let me know. The syllabus of this class can be downloaded here: CFP. Please right click on the link and download or open it in a new … Read more →

# Geostatistics Final Summary

## by Yan Ren

This is the final report summary of spatial statistics analysis. January 31, 2022. […] Spatial data is considered as a random process ({Z(s),s\in D}) in this part. Set coalash dataset as an example (Figure 1.1). (D) is the region with values. and (s) indicates percent of coalash in this location. Many kinds of exploratory statistics can be applied here to test stationarity, local stationarity and so on. The key idea in this chapter is to model the above random process ({Z(s),s\in D}) with values on known locations. Then inference of unknown locations can be made. Variogram is … Read more →

# SPRO1.knit

## by lgallegov1

Este libro analiza los resultados obtenidos por 25.000 estudiantes de la Universidad Nacional de Colombia que han presentado las pruebas SABER Pro durante el período 2016 a 2020. El principal propósito de este documento consiste en analizar las brechas de Sexo, Tipo de Admisión, Estrato y Tipo de Colegio en Competencias Transversales o Genéricas (Razonamiento Cuantitativo, Lectura Crítica, Competencias Ciudadanas, Inglés, Comunicación Escrita) y Competencias Disciplinares o Específicas para todas las Sedes, Facultades y Programas curriculares de la Universidad Nacional de Colombia. Asi mismo, analiza comparativamente los desempeños en algunas de estas competencias en el Examen de Admisión con el desempeño obtenido en la prueba SABER Pro con el fin de determinar el efecto de la Experiencia Universitaria en el desarrollo de estas competencias. Finalmente, los resultados aquí encontrados pueden ser usados como una hoja de ruta para la implementación de futuras acciones de mejoramiento académico en la Universidad Nacional de Colombia. Read more →

# My Final College Paper

## by Morten Søby Willendrup

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

# VALUTAZIONE DELLA SUSCETTIBILITA’ DA FRANA NEL BACINO IDROGRAFICO DI TRUNCA (RC)

## by Roberta Parlavecchia

TESI DI LAUREA SPERIMENTALE IN GIS E PERICOLOSITA’ IDROGEOMORFOLOGICA […] Il dissesto idrogeologico è fra le cause di rischio principali per l’assetto sociale ed economico del nostro paese ed è, per altro, fortemente condizionato dall’azione dell’uomo oltre che dai continui cambiamenti del territorio che hanno incrementato la possibilità di accadimento di fenomeni disastrosi, e dall’aumentata presenza di beni e di vite umane nelle zone in cui tali eventi sono probabili e si manifestano. L’antropizzazione del territorio, il continuo diboscamento, l’apertura di cave, l’emungimento incontrollato … Read more →

# Data Management for Analytics and Applications

## by Marios Kokkodis, George Wyner

This workbook is a basic introduction to data management with R and SQL. […] This book is a basic introduction to data management with R and SQL. It is curated for Boston College’s Data Management for Analytics and Applications (ISYS3350). For the content of this book, you will need to have access to R, RStudio, and a relational database. For the ISYS3350 class, we will use the following infrastructure: Enjoy the workbook! For comments, suggestions, errors, and typos, please email us at: kokkodis@bc.edu, … Read more →

# 성경

## by 이우근

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] 육체의 일은 분명하니, 곧 음행과 더러운 것과 호색과, 우상 숭배와 주술과 원수 맺는 것과, 분쟁과 시기와 분냄과, 당 짓는 것과 분열함과 이단과, 투기와 술 취함과 방탕함과, 또 그와 같은 것들이라. 전에 너희에게 경계한 것 같이 경계하노니, 이런 일을 하는 자들은 하나님의 나라를 유업으로 받지 못할 것이요 오직 성령의 열매는, 사랑과 ... 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, … Read more →

# Notas de Microeconometría Aplicada

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

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

# Meta-analysis of Ecological Data in R

## by Rob Crystal-Ornelas, PhD

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

# Probability and Statistics for Business and Finance - 2021/22

## by Michela Cameletti and Raffaele Argiento

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 2021/22). 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 →

# Practical Data Skills

## by Introduction To Data Science

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

# Data Management for Analytics and Applications

## by Marios Kokkodis

This workbook is a basic introduction to data management with R and SQL. […] This book is a basic introduction to data management with R and SQL. It is curated for Boston College’s Data Management for Analytics and Applications (ISYS3350). For the content of this book, you will need to have access to R, RStudio, and a relational database. For the ISYS3350 class, we will use the following infrastructure: Enjoy the workbook! For comments, suggestions, errors, and typos, please email me at: … Read more →

# Bridging the gap between service extension and cultural facilitation among ASHAs

## by Oskar Burger, Maciej J. Danko, Faiz Hashmi, Palash Singh, Hannah Lunkenheimer, Emily Little, Micah Goldwater, Tracy Johnson, Cristine Legare

This book covers data analysis and synthesis for the major empirical contributions of Project RISE. Project RISE is a mixed-methods project designed to leverage the power of ritual for understanding the motivation and performance of community health workers in Bihar. […] Project RISE is a collaborative and mixed-methods effort with the goal of improving maternal and newborn health in Bihar, India by designing tools to help the motivation and performance of community health workers. This Report covers data analysis and synthesis for the major empirical sections of Project RISE, including … Read more →

# Painting the Malaysian Covid Public Data

## by Azman Hussin and Wan M Hasni

The book is designed primarily for data science and R beginners who want to learn exploratory data analysis (EDA) through visualization in a practical way by working on actual data related to a real problem. We continue to stress these themes in the book; EDA, visualization, actual data, and learning by solving problems (#learnbydoing). We envisage that the book will only have an online version because of the dynamic nature of the problems related to Covid and the increasing data. The Covid pandemic should be of concern to all. Everyone is affected through being infected, constrained by … Read more →

# 너무나도 중요한 소식

## by yiugn@naver.com

# 中文书籍的 bookdown 模版

## by 黄湘云

这是一个简单的中文书籍模版，顺便介绍了如何使用中英文字体，参考文献样式等。 […] 这是中文书籍模版，源文件的编译和组织使用 knitr (Xie 2015) 和 bookdown (Xie 2016)，参考文献的样式文件来自 Zotero。 系统上安装 Noto 系列的四款字体，依次是英文衬线字体，英文无衬线字体，简体中文宋体，简体中文黑体，其中，两款英文字体包含正常、粗体、斜体、粗斜体四种字型。 安装后，需要先调用 sysfonts 包注册字体到 R 环境，以便绘图时使用。 showtext 包调用系统安装的中英文字体，如图 0.1 所示，横纵坐标轴标题使用黑体，主标题黑体加粗，边空文本是宋体，图内注释也是宋体，坐标轴刻度值用无衬线字体。 本书使用 Bootstrap 样式主题，因此，除了 … Read more →

# Lean Seis Sigma para la Mejora de Procesos

## by asun_mayoral

Contenidos teórico-prácticos de la asignatura Mejora de Procesos (1479), en el Grado en Estadística Empresarial, de la Universidad Miguel Hernández de Elche […] Este libro contiene los contenidos teóricos y algunos ejemplos desarrollados para el aprendizaje de la asignatura Mejora de Procesos (código 1479) que se imparte en el 4º curso del Grado en Estadística Empresarial de la Universidad Miguel Hernández de Elche (UMH), en España. En la recopilación de contenidos teóricos, los autores agradecemos los materiales que nos compartió en su día nuestro gran amigo Luis Giménez Guardiola, que … Read more →

# Crime Mapping and Analysis

## by Gio Circo

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

# Data Analytics: A Small Data Approach

## by Shuai Huang & Houtao Deng

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

# Buku Visualisasi Data yang Efektif

## by Aep Hidayatuloh

Kemampuan menyajikan informasi dan insight hasil analisis data adalah kompetensi penting pada era kini dan masa depan. Teknik visualisasi data yang efektif akan memberikan dampak signifikan pada keberhasilan komunikasi dengan target audiens. Tidak hanya mempermudah pengenalan pola pada data, visualisasi data juga dapat memperkuat pesan yang ingin disampaikan. Buku ini membahas berbagai cara visualisasi data yang disesuaikan dengan tujuan dan ketersediaan data, serta memberikan beberapa hal esensial dalam menyiapkan bahan visualisasi data. … Read more →

# Discovering Structural Equation Modeling Using Stata R, the Tidyverse, and Lavaan

## by Nicholas R. Jenkins

This project replicates the Stata code in Acocks’s (2013) text with R, the tidyverse, and lavaan. […] This project is a guide through Alan Acock’s Discovering Structural Equation Modeling Using Stata in R using the Tidyverse, and lavaan packages. The data needed to replicate the analyses in the book can be found on the book’s website here: Discovering Structural Equation Modeling Using Stata. My goal is to show how to fit these models in R and visualize their results. This is also, ver much, a work in progress. I assume that you have some familiarity with R and the tidyverse and won’t spend … Read more →

# Text as Data Methods in R - Applications for Automated Analyses of News Content

## by Valerie Hase, IKMZ, University of Zurich

Text as Data Methods in R - M.A. Seminar at IKMZ, HS 2021 […] This online tutorial will accompany the seminar “Text as Data Methods in R - Applications for Automated Analyses of News Content”. It is part of the M.A. “Internet & Society” (IKMZ, University of Zurich, HS2021). At the moment, the course is expected to take place via in-person meetings every Tuesday 10:15-12 am in room BIN-1-D.25. Please note that this may change in light of new COVID-19 developments. You will find all necessary information on the seminar’s structure, important dates and assessments/evaluations via OLAT. Please … Read more →

# 重庆市公共卫生医师规范化培训-寄生虫病

## by 罗飞

用于重庆市2021年公共卫生医师规范化培训用 […] 这本书主要用于重庆市2021年公共卫生医师规范化培训。本书结构如下： … Read more →

# Encuesta docente Impacto de la Pandemia en el desempeño académico de los estudiantes

## by Sonia Monroy, Hernando Díaz, Francisco Amórtegui, Luis E. Gallego

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] Esta encuesta se realiza en el marco del desarrollo del proyecto de investigación acerca del Impacto de la Pandemia de COVID-19 sobre el desempeño académico de los estudiantes. En términos generales, se indaga sobre las herramientas utilizadas en el quehacer docente durante la pandemia, las estrategias de evaluación y calificación aplicadas y la percepción del impacto que tuvo la pandemia sobre el desempeño académico de los estudiantes. Enunciado. Una de las … Read more →

# Technical Report for the Development of a Values Informed Leadership Measure

## by Jennifer Bragger, Diego Figueiras, Renata Garcia Prieto Palacios Roji, John Kulas & Ian Lee

This is a technical report that documents the development of a 360 assessment of effective … Read more →

# Machine Learning for Imbalanced Datasets

## by Nana Boateng

This is a machine learning textbook for dealing with imbalanced datasets […] 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: {r eval=FALSE}install.packages(“bookdown”) # or the development version # devtools::install_github(“rstudio/bookdown”) 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 … Read more →

# Data Management Using R

## by Myo Minn Oo, MD, PhD

This book is a guidebook for medical data management in R. […] Welcome to dmur! This is a book for anyone who are interested in manipulating and processing medical data. This book introduces different aspects of data management and how to implement these in R using RStudio. While there are a plethora of great R books covering a variety of data management topics, I hope this book would serve as a self-learning guide to avoid roadblocks and frustrations before becoming fully comfortable with using R. Many beginners find themselves wanting to develop data management skills in R, but lose their … Read more →

# BS1005 / CM1051: Biochemistry I

## by Kevin

A gitbook-style website authored for the NTU course BS1005 / CM1051: Biochemistry I […] This is a gitbook-style website authored for the AY 2020 - 2021 edition of BS1005 / CM1051: Biochemistry I - a 13-week core module worth 3 AUs for SBS students. More information will be shown on the following sections of this chapter. Nonetheless, to navigate this website, note the following: The “f” key on your keyboard can be used to bring up a search bar on the top of the sliding menu to the left of your computer’s screen. This may come in handy if you are looking for a specific term under a specific … Read more →

# UCT Actuarial Science Student Managment Program

## by Various Authors

UCT Actuarial Science Student Managment Program […] This readme file is designed to describe the UCTAS-stuman program, as well as provide an overview of the exemption process and their various … 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 … Read more →

# Proyecto Final: Hotel Cancelation

## by Alex Joel Marco

Este es el reporte final del proyecto final sobre el concurso de Kaggle de predicción de cancelación en hoteles. […] Con el fin de planear tarifas y actividades de ventas o promoción, los hoteles hacen estimaciones adelantadas de su ocupación en cada día. Una parte de estas estimaciones requiere predecir cuántas de las reservaciones que ya se tienen van a terminar en cancelaciones, lo cual libera inventario que afecta en la planeación. Predecir cuáles reservaciones son probables que terminen o no en cancelación. Los datos que se utilizaron para este proyecto fueron obtenidos del sitio … Read more →

# Coding for Data Science 2021/22 - R part

## by Michela Cameletti

Notes for the R labs of the C4DS 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 2021/22). C4DS is the first module of the course named Coding and Machine Learning (see here for more details). 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 this part of the module we will introduce R programming language for data science (including data manipulation, data visualization and … Read more →

# Step by Step I: Linear Models

## by Sérgio Moreira

My Coding Index assembles and organizes in one place all the relevant code and online resources I have been using to teach RStudio and in my professional practice. This file is a working document and will be regularly updated with reviews and new contents. […] Step by Step I assembles in one place the tutorials I have been using to teach and apply to practice simple, multiple and hierarchical linear models. This file is a working document and will be regularly updated with reviews and new contents. My name is Sérgio. I have a PhD in Social Psychology, I am a consultant on social issues in … Read more →

# EDM - Dengue and Urbanization

## by Gabriel Carrasco-Escobar

EDM - Dengue and Urbanization […] These codes are based on Sugihara 2012 paper and code repository. Documentation could be found here. References Lorenz chaotic attractor Constructing Empirical Dynamic Models: Taken’ Theorem State Space Reconstruction: Convergent Cross … Read more →

# Códigos Auditoría CCU

## by M. Ignacia Vicuña - Cristian Vásquez

Códigos Auditoría CCU [...] Códigos Auditoría CCU Importar los datos, dependiendo la ubicación que se encuentren en el directorio A continuación se grafica la variable objetivo de venta volumen de cerveza desde Enero 2014 a Agosto 2021. El histograma de la venta volumen de cervezas está dado por Las medidas descriptivas de la venta volumen de cervezas se calculan mediante Los gráficos de tendencia para cada una de las dimesiones predictoras del modelo Los histogramas de distribuciones de cada dimensión predictiva A continuación los gráficos de dispersión de la variable objetivo con ... Read more →

# Matemáticas I, UCM, Facultad de Económicas y Empresariales

## by Jorge Herrera de la Cruz

# Portfolio, Churn & Customer Value

## by Hugo Cornet, Pierre-Emmanuel Diot, Guillaume Le Halper, Djawed Mancer

This research paper aims at modelling customer portfolio, churn and customer value. […] This paper is being realized as part of our last year in master’s degree in economics. It aims at studying a firm’s most valuable asset namely its customers. To that end, we adopt a quantitative approach based on econometrics and data analysis with a threefold purpose to : After having defined the subject’s key concepts, we apply duration models and machine learning techniques to a kaggle dataset related to customers of a fictional telecommunications service provider (TSP). Keywords: customer portfolio … Read more →

# A Short Guide to Historical Newspaper Data, Using R

## by Yann Ryan

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

# BS2002: Microbiology

## by Curated by: Kevin Fo

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] This is a website I (Kevin) made using the R package bookdown for the NTU SBS course BS2002: Microbiology. More information about this site will be shown in the following sections. This website was authored for the semester 1, NTU academic year 2021 - 2022 edition of BS2002. At the time of your visit, weeks, months, or even years may have passed (hence rendering the website’s content outdated if no edits are made). ... Read more →

# Data Science in R: A Gentle Introduction

## by James Scott

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

# My Coding Index

## by Sérgio Moreira

My Coding Index assembles and organizes in one place all the relevant code and online resources I have been using to teach RStudio and in my professional practice. This file is a working document and will be regularly updated with reviews and new contents. My name is Sérgio. I have a PhD in Social Psychology, I am a consultant on social issues in major development induced projects, and I teach Applied Psychology and Research Methods at the Faculty of Psychology at the University of Lisbon, and Católica Lisbon School of Business and Economics. I am interested in Social Impact Assessment, … Read more →

# Statistica Applicata per la Finanza - 2021/22

## 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 2021/22). 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 →

# Communication Theory

## by Mike Nguyen

Handbook on Communication Theory for both interpersonal and interorganizational communications […] View book source “Communication Theory” was written by Mike Nguyen. It was last built on 2021-11-21. This book was built by the bookdown R … Read more →

# BS2001: Physiology

## by Curated by: Kevin Fo

This a website built for studying BS2002: Physiology […] This is a bookdown site generated for the NTU SBS course BS2001: Physiology (a core module for BS students). More information about this website will be shown in the following sections: At the time of your visit, weeks, months, or even years may have passed. Hence, the material presented on this website may no longer be up-to-date for future iterations of this course. Furthermore, this bookdown site is not a substitute for skipping lectures and / or tutorials. The curator encourages current and prospective students to be responsible … 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： 注记：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 →

# Research methods introduction for genetic counseling students (Fall 2021)

## 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 TO THE CURRENT SECTION. Hi Everyone– My name is Anshul and I will be visiting your class on Oct 21, Oct 28, Nov 4, and Nov 18 in the fall 2021 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 … Read more →

# Stat 340 Notes: Fall 2021

## by Laurie Tupper

Notes and docs for Stat 340 […] 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 (or start a discussion thread!) if you can’t find something. Happy … Read more →

# BS2003: Biochemistry II

## by Curated by: Kevin Fo

This is a bookdown site authored for the NTU SBS course BS2003: Biochemistry II […] This is a bookdown site made for the NTU SBS course Biochemistry II. BS2003: Biochemistry II is a core module in the SBS curriculum typically taken by year 2 undergraduates during the first semester. The course is jointly taught by two SBS faculty members: [Gerhard Grueber] and [Ardina Grueber]. While the author has made a considerable effort to ensure that the contents of this bookdown site are as faithful to the course’s content, errors may still arise in the site’s nonetheless. Hence, should you … Read more →

# Quantitative Analysis with R

## by Brian Wood

A book created with bookdown. […] This is a book about quantitative analysis using R. The target audience are students in the biological or social sciences learning R and seeking to build professional data science skills, including computer science fundamentals and … Read more →

# Kenai Peninsula Chapter of Trout Unlimited Embrace-a-Stream Project: Expanding and Corroborating the Known Extent of Anadromous Waters Throughout the Kenai Peninsula

## by Benjamin Meyer, Kenai Watershed Forum

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 preliminary data and analysis related to The Kenai Peninsula Chapter of Trout Unlimited’s Embrace-a-Stream project, “Expanding and Corroborating the Known Extent of Anadromous Waters Throughout the Kenai Peninsula.” The Kenai Peninsula’s watersheds are significant producers of Pacific salmon. Critical to Alaska’s economic and cultural wellbeing, these salmon support fisheries both inland and throughout Cook Inlet. This project is … Read more →

# Single Cell Multi-Omics Data Analysis

## by Yuting Liu

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

# Statistics for Data Science Notes

## by Andrew Sage - Stat 255: Lawrence University

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] We consider a dataset with prices (in $ US) and other information on 53,940 round cut diamonds. The first 6 rows are shown below. The dataset incudes both: What do we notice about the relationship between price and cut? Is this surprising? Next, we examine a histogram, displaying price, cut, and carat size. How does the information in this plot help explain the surprising result we saw in the boxplot? Next, we use a ... Read more →

# R @ Ewha (Sunbok Lee)

## by Sunbok Lee

R @ Ewha (Sunbok Lee) […] Hi everyone, welcome to the course. This is the introduction to R course at Ewha Womans University. 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 students who don’t have any programming background in social science. In this lecture note, this font represents R commands, variable names, and package names. In order to maximize your learning in this semester, you should read the weekly reading assignment in our … Read more →

# Survey data in the field of economy and finance

## by Guillaume Osier

This is the full book written in preparation for my course on “Survey data in the field of economy and finance” given at the University of Luxembourg (Master 2 ‘Economy and Finance’). […] Counting a population through censuses has been a long established practice which dates back to thousand years BC. Babylonians, Egyptians, Romans etc. used to resort to population censuses to support important economic decisions in terms of taxation, labour force scaling, food distribution etc. Censuses are usually regarded as error-free data sources leading to statistics with highest accuracy. On the … Read more →

# Time Series Analysis

## by Michael Foley

Time series analysis using R. […] These notes are based on the Time Series with R skill track at DataCamp and Rob Hyndman’s Forecasting: Principles and Practice (Rob J Hyndman 2021). I organized them into a section on working with a tsibble (time series tibble) (chapter 1), a section on data exploration (chapter 2), and then four sections on models. Forecasts aren’t necessarily based on time series models - you can perform a cross-sectional regression analysis of features, possibly including time-related features such as month of year (chapter 3). Time series forecasts are a specific type … Read more →

# Kurse Notitzen

## by Kan Lei

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

# BS0004 Code Annotations

## by Kevin, Kevin, and Kevin

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] This document documents (no pun intended) my code and my workflow for the cancer dataset that Sean found a couple of days ago. I intend to - using the dataset - build several supervised machine learning classifiers to predict the status of cancer patients. I will then evaluate the performance of these models using the content taught in week 9; Furthermore, if possible, I think I will also try to perform GO term ... Read more →

# New Adolescent Fertility Measures for the Long-term Perspective

## by Ann Garbett

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

# The Association Between Travel and Urban Form

## by Shen Qu

This is a field paper using the bookdown package. The output format for this example is bookdown::gitbook. […] This field paper is for discussing the relationship between travel and urban form.1 The initial motivation is curious about how the travel distance is affected by urban densities. Is this relationship existed universally or just context-dependent? Are these models in literature replicable or reproducible? Part I reviews the related literature and tries to cover the main theories and research in this field. Travel patterns or behaviors as the variable of interest, is associated with … Read more →

# Statistics for Data Science R Code Guide

## by Andrew Sage - Stat 255, Lawrence University

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. […] This guide provides details and examples on using R to perform the kinds of statistical analyses that we’ll use in STAT 255. You may use it as a template, as you write code for your assignments. If you want to work with R from your own computer, you can install it for free using the directions below. This will allow you to work on your assignments whenever and wherever you would like. Mac: Windows: The following chapters walk … Read more →

# R: বাংলায় পরচিতি

## by Mohammad Shamim Hasan Mandal

Written in Bengali, this book is an introductory textbook. […] description: “This is a minimal bookdown demo. It shows the basics of …” github-repo: “rstudio/bookdown-demo” cover-image: “images/cover.png” ** WORK IN PROGRESS ** এই বইটি শেরেবাংলা কৃষি বিশ্ববিদ্যালয়ের কম্পিউটার ক্লাব আয়োজিত R(আর) পরিচিত ক্লাসের জন্য। বইটি আর মার্কডাউন (rmarkdown) দিয়ে লেখা। বইটির লেখায় কোথায় ভুল পেলে অথবা বইটি সম্পর্কে আপনার মতামত জানাতে Email এই বইটি R(আর) সম্পর্কে প্রাথমিক ধারণা দেওয়ার জন্য তৈরি করা হয়েছে। কম্পিউটার প্রোগ্রামিং একটি বড় বিষয়, R(আর) একটি কম্পিউটার প্রোগ্রাম সুতরাং শুধুমাত্র প্রোগ্রামিং নিয়েই অনেক পড়ার সুযোগ রয়েছে। এই বইটির … Read more →

# NL and Malaria in Venezuela

## by Gabriel Carrasco-Escobar

Nighttime Lights and Malaria in Venezuela … Read more →

# STM1001 Topic 11: Statistical Power and Sample Size Calculation

## by Amanda Shaker

STM1001 Topic 11 […] When designing a new study, a very useful exercise to carry out is that of determining an appropriate sample size. This is an important step in helping to ensure that the study achieves the outcomes it set out to achieve. As you may be able to imagine, if the sample size is not big enough, then the results of the study may not be strong enough to draw any significant or meaningful conclusions. On the other hand, increasing the sample size can come at a cost in many situations. This is why choosing an appropriate sample size is so important - so that a balance between … Read more →

# Nature hacks for life

## by cjlortie

A gentle introduction to nature hacks for a better life. […] This is the prework before we meet. Nature deficit disorder is an experiential hypothesis for behavioral ecology. It proposes that humans spending too little time outdoors are more likely to experience behavioral challenges and reductions in cognition and mental well-being. Richard Louv first developed these ideas formally in the book entitled ‘Last child in the woods’ in 2008. A more recent and expansive book was published in 2012 entitled ‘The nature principle’ and another in 2019 entitled ‘Our wild calling’. These works … Read more →

# Introduction to R for Econometrics

## by Kieran Marray (Tinbergen Institute)

Introduction to R for Econometrics […] This is a short introduction to R to go with the first year econometrics courses at the Tinbergen Institute. It is aimed at people who are relatively new to R, or programming in general.1 The goal is to give you enough of knowledge of the fundamentals of R to write and adapt code to fit econometric models to data, and to simulate your own data, working alone or with others. You will be able to: read data from csv files, plot it, manipulate it into the form you want, use sets of functions others have built (packages), write your own functions to compute … Read more →

# Bodega de datos

## by Danna Cruz

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

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

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

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

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

## by Raphaël Mabit

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

# 分析導論

## by Ting-Chih Hung

null … Read more →

# Using R in Social Work Research

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

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

# La distopia. Modelli e momenti di una tradizione moderna

## by Mario Barenghi e Federico Pianzola

Due romanzi per il corso di Letteratura italiana contemporanea 2021 […] I testi raccolti in queste pagine sono formattati in HTML e si adattano alla dimensione dello schermo. Ciò significa che potete leggerli agevolmente su computer, tablet o smartphone. Potete utilizzare l’icona menu (tre righe orizzontali) sulla sinistra per accedere all’indice del libro. Utilizzate invece l’icona < in alto a destra per aprire il pannello coi commenti. Per poter annotare i testi con Hypothesis dovete registrarvi a questo link: https://hypothes.is/signup Dopo esservi registrati e aver confermato la vostra … Read more →

# R Training for SSDS

## by Amy L Johnson

R Training for SSDS […] This document provides an introduction to R. It was created for use by Stanford Library’s Software Services and Data Science (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 →

# R @ Ewha (Sunbok Lee)

## by Sunbok Lee copied by 212AIE40 Jiwon Choi

R @ Ewha (Sunbok Lee) […] “In nonrandomized experiments, it is usually only possible to detemine the existence of a relationship between two measurements, but not the underlying mechanism or the reason for it.” It is known that the best way to investigate causal relationship is to conduct randomized experiments. However, unlike in natural science, it is not easy to conduct randomized experiments in social science because of ethical and practical reasons. The fundamental dilemma of data analysis in social science is that we essentially want to make causal statements in the absence of … Read more →

# Introduction to Computational Social Science

## by Mark Hoffman

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