Advanced R Programming
Hadley WickhamBook
R
62 resources
Most people learn R for statistics and data analysis, so it pays to learn the tidyverse early. R for Data Science by Hadley Wickham is the usual starting point, and Hands-On Programming with R suits people who have never programmed before. ModernDive and Learning Statistics with R teach statistics and R together.
Once you are comfortable with data frames and ggplot2, Advanced R explains how the language works underneath, and R Packages covers sharing your own code. Forecasting: Principles and Practice and Tidy Text Mining with R are good examples of domain-specific books. The RStudio cheat sheets are worth keeping open while you work.
An Introduction to ggplot2
Ozancan OzdemirBook
An Introduction to R
David M. Smith, William N. VenablesBook
An Introduction to Statistical Learning with Applications in R
Gareth James, Daniela Witten, Trevor Hastie, Robert TibshiraniBookPDF
Behavior Analysis with Machine Learning Using R
Enrique Garcia CejaCC BY-NC-NDBookHTML
Beyond Multiple Linear Regression
Paul Roback, Julie LeglerBook
blogdown: Creating Websites with R Markdown
Yihui Xie, Amber Thomas, Alison Presmanes HillBook
Cookbook for R
Winston ChangBook
Data Analysis and Prediction Algorithms with R
Rafael A. IrizarryBook
Data Mining Algorithms In R
WikibooksBook
Data Visualization with R
Martin SchweinbergerBookHTML
Deep R Programming
Marek GagolewskiBookPDF
Efficient R programming
Colin Gillespie, Robin LovelaceBook
Exploratory Data Analysis with R
Roger D. PengBook
Forecasting: Principles and Practice
Rob J Hyndman, George AthanasopoulosBook
Functional Programming
Sara Altman, Bill Behrman, Hadley WickhamBook
Geocomputation with R
Robin Lovelace, Jakub Nowosad, Jannes MuenchowBook
Hands-On Programming with R
Garrett GrolemundBook
Introduction to Probability and Statistics Using R
G. Jay KernsBookPDF
Learning Statistics with R
Danielle NavarroBook
Mastering Software Development in R
Roger D. Peng, Sean Kross, and Brooke AndersonBook
Model Estimation by Example, Demonstrations with R
Michael ClarkBook
Modern R with the tidyverse
Bruno RodriguesBook
Modern Statistics with R
Måns ThulinBook
ModernDive
Chester Ismay, Albert Y. KimBook
Practical Regression and Anova using R
Julian J. FarawayBookPDF
R for Data Science
Hadley Wickham, Mine Çetinkaya-Rundel, Garrett GrolemundBook
R for Spatial Analysis
BookPDF
R Language for Programmers
John D. CookBook
R Notes for Professionals
Compiled from StackOverflow DocumentationBookPDF
R Packages
Hadley Wickham, Jenny BryanBook
R Practicals
BookPDF
R Programming
WikibooksBook
R Programming for Data Science
Roger D. PengBook
R Succinctly, Syncfusion
BookPDFKindle
Free, but: email address requested
Statistical Inference via Data Science
Chester Ismay, Albert Y. KimBook
Summary and Analysis of Extension Program Evaluation in R
Salvatore S. MangiaficoBook
Supervised Machine Learning for Text Analysis in R
Emil Hvitfeldt, Julia SilgeBook
The caret Package
Max KuhnBook
The R Inferno
Patrick BurnsBookPDF
The R Language
Book
The R Manuals
Book
Tidy Modelling with R
Max Kuhn and Julia SilgeBook
Tidy Text Mining with R
Julia Silge, David RobinsonBook
Introduction to R
DataCampCourse
R Basics - R Programming Language Introduction
R-Tutorials TrainingUdemyCourse
R Programming
Course
R Programming For Beginners
SimplilearnCourse
R Programming Tutorial
Barton PoulsonfreeCodeCampCourse
R Tutorial For Beginners | Edureka
Edureka!Course
Learn R
CodecademyTutorial
Free, but: account required
R Tutorial
W3SchoolsTutorial
All RStudio cheatsheets resources
RStudio.comHTML site with PDF linksCheatsheet
Base R Cheatsheet
Mhairi McNeillCheatsheetPDF
Cheat Sheet for R and RStudio
L. Jason AnastasopoulosCheatsheetPDF
Colors in R
Ying WeiCheatsheetPDF
archived
Data transformation with dplyr - Cheat sheet
PositCheatsheetPDF
R color cheatsheet
Melanie FrazierCheatsheetPDF
myCompiler
Playground
R-Fiddle
Playground
Rextester
Playground
SoloLearn
Playground