List of books by authors

• Math Prefresher for Political Scientists
• ThinkStats - a tale of two books

805

• 环境黑板报

@kazutan

• ggplot2逆引き集

A Solomon Kurz

• Statistical Rethinking with brms, ggplot2, and the tidyverse
• recoding Introduction to Mediation, Moderation, and Conditional Process Analysis

Albert Haoran LEI

• Asymmetric Information and Its Applications

Alejandro Quintela del Rio

• Estadística Básica Edulcorada

Alessio Crippa

• Novel methods for dose–response meta-analysis

Alex Hallam

• Simulation And The James-Stein Estimator In R

Ali Zaidi, Machine Learning and Data Science, Microsoft

• Scalable Machine Learning and Data Science with Microsoft R Server and Spark

Anastasia Ushakova and Milan Valasek

• PhD Training Workshop: Statistics in R

Andrew Clark

• Premier League Annual
• useR2016 Conference Videos

Andrew Clark and Joshua Kunst

• Chess Encounters

Andrew Kniss & Jens Streibig

• Statistical Analysis of Agricultural Experiments using R

André Calero Valdez

• Computational Communication Science mit R

Andrés Gutiérrez

• Muestreo y análisis de estudios educacionales con R

Anouar El Ghouch

• Exploration de données avec R

Are Edvardsen, SKDE

• Lokal lagring og bruk av sensitive data

Arredondo Sánchez Andrea Elizabeth, Vargas Mendoza Ana Luisa

• Bookdown

Associação Brasileira de Jurimetria

• ABJ Syllabus

Authors: The RIPL_Effect Research Team

• Lab Manual for the RIPL_Effect Research Team (RIPLRT)

B. Depaire

• Lecture Notes voor Beleidsinformatica
• Lecture Notes voor Business Process Management (3637)
• Lecture Notes voor Exploratieve en Descriptieve Data Analyse

BEST: Behavioral Economics & Data Science Team

• Data Science con R: Fundamentos y Aplicaciones
• Economía Conductual: Fundamentos y Aplicaciones

Beckett Stephens

• The Final War

Brian O’Meara

• Comparative Methods

Brooke Anderson

• Data Visualization in R

Bruno Rodrigues

• Modern R with the tidyverse
• Functional programming and unit testing for data munging with R

Brynjólfur Gauti Jónsson

• Statistical Rethinking
• Numerical Analysis: Notes

Burak AYDIN, James ALGINA, Walter LEITE, Hakan ATILGAN

• An R Platform for Social Scientists
• Sosyal Bilimler R Platformu

Carlos Alcalá

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

Carson Sievert

• Interactive web-based data visualization with R, plotly, and shiny

Cheng-Chung Li

• R語言套件之道

Chester Ismay

• Getting used to R, RStudio, and R Markdown

Chester Ismay and Albert Y. Kim

• Statistical Inference via Data Science

Chester Ismay and Albert Y. Kim STARRING FRANK MCGRADE

• ModernDive

Chiayi Yen

• Data Visualization Project

Chris Qi from Data Maniac

• R 语言入门，给一心只有学习的你

Christoph Hanck, Martin Arnold, Alexander Gerber and Martin Schmelzer

• Introduction to Econometrics with R

Christoph Molnar

• Interpretable Machine Learning

Chunji Wang

• Selected Solutions to R4DS Exercises

Claus O. Wilke

• Fundamentals of Data Visualization

Colin Gillespie, Robin Lovelace

• Efficient R programming

Conor I. Anderson and Karen L. Smith

• Climate Change Impact Assessment: A practical walk through

Constantin Colonescu

• Principles of Econometrics with R

Cristóbal Moya

• Basic Social Justice Orientations scale testing

DJ Navarro

• Learning statistics with R: A tutorial for psychology students and other beginners. (Version 0.6.1)

Daniel J Carter

• R for Statistics in EPH

Danielle J Navarro & Dvid R Foxcroft（著） 芝田征司（訳）

• jamoviで学ぶ心理統計

Darrin Speegle

• Foundations of Statistics with R

Daxue Consulting

• Brief introduction to Statistic

Didzis Elferts

• Praktiskā biometrija

Dmitry Gorodnichy

• «Волопас и Северная Корона»
• «Shri Jobim»

Dr.Thunder, Ming, Youcai

• 液体活检口袋书

Duncan Garmonsway

• Spreadsheet Munging Strategies

Dwight Barry

• Do not use averages with Likert scale data

Dylan Z. Childs

• APS 135: Introduction to Exploratory Data Analysis with R

Ed Anderson

• Applications of Multivariate Analysis in Business
• R Studio: A 3D Printer for Business Analytics

Eduardo García Portugués

• Notes for Nonparametric Statistics
• A Short Course on Nonparametric Curve Estimation
• Notes for Predictive Modeling
• Lab notes for Statistics for Social Sciences II: Multivariate Techniques

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

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

Ellis Valentiner

• CookDown

Erik Bülow

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

Erik Stenberg

• Lösningar i R till vissa uppgifter från övningskompendierna
• Lösningar i R till vissa uppgifter från övningskompendierna (samt lite annat kul)

Erin LeDell

• useR! Machine Learning Tutorial

Ernesto Carrella

• POSEIDON tutorial

Eyþór Björnsson

• Föll í R - Dæmi

Felix E. Rivera-Mariani, PhD

• UPR-PRISE Data Science Workshop 01/26/2019

Fernando Izco

• Base de datos corporativa de personas

Fernández-Casal, R. y Cotos-Yáñez, T.R.

• Escritura de libros con bookdown

Ferrologic

• Kursmaterial till Certifierad Data Scientist

Filip Wastberg

• R och Demoskop

Filip Wästberg

• Introduktion till R

Flavio Lozano Isla, Omar Benites Alfaro, Marcelo Francisco Pompelli

• GerminaQuant

Fousseynou Bah

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

Francisco Parra

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

François Rebaudo

• Aprender R: iniciación y perfeccionamiento
• Se former au logiciel R : initiation et perfectionnement

Gabriel Muñoz

• Literature thesis: Building a framework for retrieving information on multispecies interactions from published literature
• Advances on the analysis on connectivity of Raphia taedigera palm swamps for Central America
• Data lunch 2feb: The use of Bookdown to write documents and reports

Garrett Grolemund

• Hands-On Programming with R

Garrett Grolemund, Hadley Wickham

• R for Data Science

Gaston Sanchez

• Handling Strings with R

Georg Zachmann

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

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

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

Grupo SAE - USTA

• Estimacdiión en dominios pequeños

Hadley Wickham

• Advanced R

Hadley Wickham, Jenny Bryan

• R Packages

Hiroaki Yutani

• Practical R Package Development (Japanese)

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

• Big Data and Social Science

Ian K Salter

• DJing to Dolphins
• Ian and Molly’s Odyssey

Isabel Molina Peralta and Eduardo García Portugués

• A First Course on Statistical Inference

J.W.Biggs

• Thucydides the Neorealist?
• Introduction to Digital Currency

Jake Vander Laan, Utah Division of Water Quality

• Utah TDS wqTools vignette

Jakub Nowosad

• Geostatystyka w R

Jan de Leeuw

• Block Relaxation Methods in Statistics

Jan de Leeuw, Masanao Yajima

• APL in R

Jan de Leeuw, Patrick Mair, Patrick Groenen

• Multivariate Analysis with Optimal Scaling

Jeff Webb

• Course Notes for IS 6489, Statistics and Predictive Analytics

Jeffrey B. Arnold

• R for Data Science: Exercise Solutions

Jeroen Janssens

• Data Science at the Command Line

Jim Grange

• Grange-Lab Manual

Johanna Orellana Alvear - johanna.orellana@ucuenca.edu.ec

• Arboles de decision y Random Forest
• HPC con R para Investigadores

John Coene

• The twinetverse

Jolene Quek

• Comparing Social Dynamics of a Rental and Purchased Block

Jonathan Weisberg

• Odds & Ends

Jonathan Wong

• Data Science and Visualizations with R

Jordan T. Bates

• Notes on R for AML100

Jorge N. Tendeiro

• IRT (GMMSGE01): Parametric IRT (dichotomous data)

Josep Espasa Reig

• (Very) basic steps to weight a survey sample

Joshua M. Rosenberg

• Understanding Work With Data in Summer STEM Programs Through An Experience Sampling Method Approach
• Data Science in Educational Research

Juan Bosco Mendoza Vega

• R para principiantes

Julia Silge and David Robinson

• Text Mining with R

Julie Legler and Paul Roback

• Broadening Your Statistical Horizons

KU Leuven Marketing department

• R for marketing students

Katarina Domijan, Catherine Hurley

• Notes for ST463/ST683 Linear Models 1

Kieran Healy

• Data Visualization

Kim-Anh Le Cao & Sebastien Dejean

• mixOmics vignette

Laura Moria

• Referentiekaarten
• Ecologische sleutelfactoren in beeld
• Waterkwaliteit in beeld

Leo Van | 范叶亮

• TensorFlow 学习笔记

Liam

• Cod Prediction

Lingyun Zhang

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

Lionel Henry, Hadley Wickham

• Tidy evaluation

Lorena A. Barba, Lecia J. Barker, Douglas S. Blank, Jed Brown, Allen B. Downey, Timothy George, Lindsey J. Heagy, Kyle T. Mandli, Jason K. Moore, David Lippert, Kyle E. Niemeyer, Ryan R. Watkins, Richard H. West, Elizabeth Wickes, Carol Willing, and Michael Zingale

• Teaching and Learning with Jupyter

M. Edward (Ed) Borasky

• Mastering DFS Analytics

Malte Grosser

• Tidyverse Cookbook

Malte Grosser & Henning Bumann

• Advanced R Solutions

Mamadou Lamine Diamban

• Réalisation de Mini Projets R

Manuel Aragonés, Thalía Guerra, Roberto Sánchez and Mónica Zamudio

• Detecting collusion in goverment procurement contracts

Marcos V. C. Vital - LEQ-UFAL

• Meu log de leitura de R for Data Science

Marcos Vital, do Laboratório de Ecologia Quantitativa da UFAL

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

Mark Sellors

• Field Guide to the R Ecosystem

Marta Sestelo

• A short course on Survival Analysis applied to the Financial Industry

Martin Monkman

• Data Science with R: A Resource Compendium

Martin Schmettow

• New statistics for the design researcher

Mathias Harrer & David Ebert

• Doing Meta Analysis in R

Matias Andina

• Introducción a estadística con R

Mau-Ting Lin

• Macroeconomics
• Economic Forum
• Data visualization

Max Kuhn and Kjell Johnson

• Feature Engineering and Selection: A Practical Approach for Predictive Models

Miao YU

• Meta-Workflow
• Notes

Michael Clark

• Machine Learning
• Generalized Additive Models
• Mixed Models in R
• Introduction to R Markdown
• Data Processing & Visualization
• Bayesian Basics

Michael Clark m-clark.github.io

• Clustered Data
• Graphical & Latent Variable Modeling
• An Introduction to Text Processing and Analysis with R

Michael Frank, Mika Braginsky, Virginia Marchman, and Daniel Yurovsky

• Variability and Consistency in Early Language Learning

Michael Freeman and Joel Ross

• Technical Foundations of Informatics

Michael Mahoney

• Introduction to Data Exploration and Analysis with R

Nathaniel D. Phillips

• YaRrr! The Pirate’s Guide to R

Otho Mantegazza

• What does the plant do?

Pablo Casas

• Data Science Live Book

Paul C. Bauer

• Applied Causal Analysis
• Big data and Social Science
• (Applied) Causal Analysis

Paul C. Bauer & Richard Traunmüller

• Interactive Data Visualization (2nd Day)

Paul C. Bauer, Rudolf Farys

• R for Social Scientists

Paulius Alaburda

• Gopnik Guide to Biology

Peng Zhao

• R bookdownplus Textbook

Peter Baumgartner, Sabine Payr

• Studieren und Forschen mit dem Internet

Peter Olejua

• Notas sobre Estimación Puntual

PoMingChen

• Minimal-Git-demo

Pyradise

• Hello Py: Python 程式設計

R.Lappan

• 16S rRNA analysis

Rafael A. Irizarry

• Introduction to Data Science

Raghvendra Jain

• Dengue Forecasting Project

Randy Ridenour

• Pursuing Truth: A Guide to Critical Thinking

Ray Hoobler

• An Incomplete Solutions Guide to the NIST/SEMATECH e-Handbook of Statistical Methods

Research Programming, The Urban Institute

• Spark Social Science Manual

Rob Carroll

• Probability and Statistics

Rob J Hyndman and George Athanasopoulos

• Forecasting: Principles and Practice

Rob Kabacoff

• Data Visualization with R

Robin Lovelace, Jakub Nowosad, Jannes Muenchow

• Geocomputation with R

Roger D. Peng

• Advanced Statistical Computing
• R Programming for Data Science
• Exploratory Data Analysis with R

Roger D. Peng and Elizabeth Matsui

• The Art of Data Science

Roger D. Peng, Sean Kross, and Brooke Anderson

• Mastering Software Development in R

Ron Sarafian

• Introduction to Data Science

Ronald Gualán Saavedra

• Introducción a la Computación con GPUs usando R

Salfo Bikienga

• Econ 215 Notes

Scott Ming

• Notes and Codes while Learning R

Sean Kross

• The Unix Workbench

Sebastian Stöckl

• Tidy Portfoliomanagement in R

Sergej Kaiser

• Revealed comparative advantage and network centrality

Sergio Berdiales

• Gijón Air Pollution - An exercise of visualization and forecasting

Stanford Data Lab

• Visualization

Statistics/Data Science at St. John Fisher College

• STAT160 R/RStudio Companion

Steem 中文社区集体创作

• Steem Handbook

Sveinung Arnesen, Troy S. Broderstad, Mikael P. Johannesson, Jonas Linde

• The Status Quo Bias in Referendums

Søren O’Neill

• Guide til klinikophold

Tae Geun Kim

• Machine Learning with Rust

Thalita do Bem Mattos

• Noções de Inferência no R

The IsoriX core Team

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

The SKY Community

• Statistical Tools for Causal Inference

Thársis T. P. Souza

• The Open Quant Live Book

Tim Trice

• Backtesting Strategies with R

Tomislav Hengl and Robert A. MacMillan

• Predictive Soil Mapping with R

Tomás J. Aragón

• Population Health Data Science with R
• Field Epidemiology with R

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

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

VCRIS logo Virginia Department of Historic Resources

• VCRIS User Guide

Weicheng Zhu

• Shiny Tutorial

William G. Foote

• Financial Engineering Analytics: A Practice Manual Using R

Yihui Xie

• bookdown: Authoring Books and Technical Documents with R Markdown
• A Minimal Book Example

Yihui Xie (Daniel Kim translated it into Korean)

• A Minimal Book Example

Yihui Xie, Amber Thomas, Alison Presmanes Hill

• blogdown: Creating Websites with R Markdown

Yihui Xie, J. J. Allaire, Garrett Grolemund

• R Markdown: The Definitive Guide

Yuleng Zeng

• An Introduction to R, LaTeX, and Statistical Inference
• An Introduction to R and LaTeX

Zach Bogart, Joyce Robbins

• edav.info/

Zev Ross (with Andrew Clark)

• R Powered Web Applications with Shiny

Zuguang Gu

• ComplexHeatmap Complete Reference

bradleyboehmke.github.io

• Hands-on Machine Learning with R

chen

• Applied Social Network Analysis in Education

csgillespie

• A list of R conferences and meetings

eythorbj

• Egils saga Skalla-Grímssonar

gorodnichy

• Bilingual Christmas songs
• «Two Lives» by Concordia Antarova

janengelstaedter

• BIOL3360 - Analysis and Communication of Biological Data:

kellobri.github.io

• Supplement to Shiny in Production

lauramoria

• Ecologische waterkwaliteit Botshol

lcrfromfzu@qq.com

• 统计学习方法 – 基于R的算法实现

rOpenSci software review editorial team: Brooke Anderson, Scott Chamberlain, Anna Krystalli, Lincoln Mullen, Karthik Ram, Noam Ross, Maëlle Salmon, Melina Vidoni

• rOpenSci Packages: Development, Maintenance, and Peer Review

sveinungarnesen78

• The Good Loser – Results from Three Survey Experiments
• A guide to the 2017 European Internet Panel Study

tpemartin

• 課程大綱 | ntpu-programming-for-data-science.utf8.md
• ntpu-data-visualization.utf8.md
• 高中生的未來事件簿

Андрей Городничий

• «Кубатура Шара»

Андрей Огурцов

• Руководство по data.table

于淼

• 现代科研指北
• 数据分析残卷

國立臺北大學經濟學系-經濟時事與多媒體出版

• 網頁外掛功能：GA,Share,Comments

大鹏

• GuitaR Bookdown

大鹏&朋友

• Papa’s Three Laws

曾意儒 Yi-Ju Tseng

• 資料科學與R語言

林凱浩

• 圖書推薦系統

林茂廷老師

• 數量方法（一）
• ggplot2 介紹
• 網頁入門
• Github 介紹
• R Markdown 介紹
• dplyr 介紹
• Shiny (I)

王 超辰 Chaochen Wang

• 醫學統計學

王敏杰

• CFPS 之R语言学习笔记
• 数据科学中的 R 语言
• 基于R语言的科研信息分析与服务

王树义

• 毕业论文新手入坑手册
• 文科生数据科学上手指南

祝介东 北京力高泰科技有限公司

• R 语言分析 LI-6400 和 LI-6800 光合仪的数据

芝田 征司

• jamoviクイックガイド（Analysis編）

蔡國梁

• 通識課程推薦系統

谢益辉, 肖楠, 坑主三, 坑主四

• R语言忍者秘笈

邱睿

• 一个简单的PTE教程

郭耀仁

• 認識 R 的美好

김진섭

• 기초통계 개념정리