List of books by authors

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

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

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

Are Edvardsen, SKDE

• Lokal lagring og bruk av sensitive data

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

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

Beckett Stephens

• The Final War

Brian O’Meara

• Comparative Methods

Bruno Rodrigues

• Functional programming and unit testing for data munging with R

Brynjólfur Gauti Jónsson

• Numerical Analysis: Notes

Burak AYDIN, James ALGINA, Walter LEITE, Hakan ATILGAN

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

Carson Sievert

• plotly for R

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

• An Introduction to Statistical and Data Sciences via R

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

Chunji Wang

• Selected Solutions to R4DS Exercises

Claus O. Wilke

• Fundamentals of Data Visualization

Colin Gillespie, Robin Lovelace

• Efficient R programming

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)

Darrin Speegle

• Foundations of Statistics with R

Daxue Consulting

• Brief introduction to Statistic

Didzis Elferts

• Praktiskā biometrija

Dmitry Gorodnichy

• «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

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

Eduardo García-Portugués

• Notes for Predictive Modeling
• A short course on nonparametric curve estimation

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

Emre Toros

• Sosyal Bilimler Araştırmaları İçin R

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)

Ernesto Carrella

• POSEIDON tutorial

Eyþór Björnsson

• Föll í R - Dæmi

Filip Wastberg

• R och Demoskop

Flavio Lozano Isla, Omar Benites Alfaro, Marcelo Francisco Pompelli

• GerminaQuant

François Rebaudo

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

Freddy Hernández Barajas Olga Cecilia Usuga Manco

• Manual de R

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

Hiroaki Yutani

• Practical R Package Development (Japanese)

Isabel Molina Peralta and Eduardo García Portugués

• A first course on Statistical Inference

J. Legler and P. Roback

• Broadening Your Statistical Horizons

J.W.Biggs

• Thucydides the Neorealist?
• Introduction to Digital Currency

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 Solutions

Jeroen Janssens

• Data Science at the Command Line

Jim Grange

• Grange-Lab Manual

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

• HPC con R para Investigadores

John Coene

• The twinetverse

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

Kieran Healy

• Data Visualization

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

M. Edward (Ed) Borasky

• Mastering DFS Analytics

Malte Grosser

• Tidyverse Cookbook

Malte Grosser, Henning Bumann, Peter Hurford & Robert Krzyzanowski

• Advanced R Solutions

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 Schmettow

• New statistics for the design researcher

Martin Schmettow and Lena Brandl

• Programming for Psychologists

Mathias Harrer, B.Sc. & Dr. habil. 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

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

Michael Clark m-clark.github.io

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

Michael Freeman and Joel Ross

• Technical Foundations of Informatics

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

• 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

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

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

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

Statistics/Data Science at St. John Fisher College

• STAT160 R/RStudio Companion

Steem 中文社区集体创作

• Steem Handbook

Søren O’Neill

• Guide til klinikophold

Thalita do Bem Mattos

• Noções de Inferência no R

The IsoriX core Team

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

The Queens College Collective Consciousness

• The Queens College Bio 106 Open Notebook
• The Queens College General Ecology Open Notebook
• The Queens College Guide to Life
• The Queens College Stats Guide
• The Queens College Guide to Ecosystems
• The Queens College Alchemy Guide
• Math 390.4: Data Science with R
• The Queens College Guide to the Foundations of Life

Tim Trice

• Backtesting Strategies with R

Tomás J. Aragón

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

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 and LaTeX

Zach Bogart, Joyce Robbins

• edav.info/

Zev Ross (with Andrew Clark)

• R Powered Web Applications with Shiny

chen

• Social Network Analysis in Education

content

• Marketing department KULeuven: R tutorial

csgillespie

• A list of R conferences and meetings

eythorbj

• Egils saga Skalla-Grímssonar

gorodnichy

• «Two Lives» by Concordia Antarova

lauramoria

• Ecologische waterkwaliteit Botshol

tpemartin

• 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

• 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

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

郭耀仁

• 認識 R 的美好

陳柏銘PoMingChen

• R_Dplyr_minicourse

黄湘云

• 统计计算与图形

김진섭

• 기초통계 개념정리