R

R Influence Network

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Hello World in R

cat("Hello World")

Free R books, articles, documentation

• Advanced R Programming - Hadley Wickham
• An Introduction to ggplot2 - Ozancan Ozdemir
• An Introduction to R - David M. Smith, William N. Venables
• An Introduction to Statistical Learning with Applications in R - Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani (PDF)
• Behavior Analysis with Machine Learning Using R - Enrique Garcia Ceja (HTML) (CC BY-NC-ND)
• Beyond Multiple Linear Regression - Paul Roback, Julie Legler
• blogdown: Creating Websites with R Markdown - Yihui Xie, Amber Thomas, Alison Presmanes Hill
• Cookbook for R - Winston Chang
• Data Analysis and Prediction Algorithms with R - Rafael A. Irizarry
• Data Mining Algorithms In R - Wikibooks
• Data Visualization with R - Martin Schweinberger (HTML)
• Deep R Programming - Marek Gagolewski (PDF)
• Efficient R programming - Colin Gillespie, Robin Lovelace
• Exploratory Data Analysis with R - Roger D. Peng
• Forecasting: Principles and Practice - Rob J Hyndman, George Athanasopoulos
• Functional Programming - Sara Altman, Bill Behrman, Hadley Wickham
• Geocomputation with R - Robin Lovelace, Jakub Nowosad, Jannes Muenchow
• Hands-On Programming with R - Garrett Grolemund
• Introduction to Probability and Statistics Using R - G. Jay Kerns (PDF)
• Learning Statistics with R - Danielle Navarro
• Mastering Software Development in R - Roger D. Peng, Sean Kross, and Brooke Anderson
• Model Estimation by Example, Demonstrations with R - Michael Clark
• Modern R with the tidyverse - Bruno Rodrigues
• Modern Statistics with R - Måns Thulin
• ModernDive - Chester Ismay, Albert Y. Kim
• Practical Regression and Anova using R - Julian J. Faraway (PDF)
• R for Data Science - Hadley Wickham, Mine Çetinkaya-Rundel, Garrett Grolemund
• R for Spatial Analysis (PDF)
• R Language for Programmers - John D. Cook
• R Notes for Professionals - Compiled from StackOverflow Documentation (PDF)
• R Packages - Hadley Wickham, Jenny Bryan
• R Practicals (PDF)
• R Programming - Wikibooks
• R Programming for Data Science - Roger D. Peng
• R Succinctly, Syncfusion (PDF, Kindle) (email address requested, not required)
• Statistical Inference via Data Science - Chester Ismay, Albert Y. Kim
• Summary and Analysis of Extension Program Evaluation in R - Salvatore S. Mangiafico
• Supervised Machine Learning for Text Analysis in R - Emil Hvitfeldt, Julia Silge
• The caret Package - Max Kuhn
• The R Inferno - Patrick Burns (PDF)
• The R Language
• The R Manuals
• Tidy Modelling with R - Max Kuhn and Julia Silge
• Tidy Text Mining with R - Julia Silge, David Robinson

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