Learning Resources

Updated: 2025-04-10

This page is meant as a resource for those both new and advanced in the programming language of R. The R community is all about sharing and all resources found below are editions that are provided for free.

If you have any suggestions on other learning resources or want to report faulty links, send an email to [email protected].

R books

Introduction

An Introduction to R (2022)

The Book of R (2016)

R for Data Science, 2ed (2023)

Modern Statistics with R (2021)

Introductory Statistics with R, 2ed (2008)

Using R for Introductory Statistics (2005)

Learning R (2013)

The R Book (2013)

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse! (2022)

Reproducible Research with R and RStudio (2013)

R for applied epidemiology and public health (2021)

R for Fledglings (2021)

Boken om R (Swedish) (2025)

Advanced

Advanced R, 2ed (2019)

What They Forgot to Teach You About R

Efficient R programming (2021)

Text Mining with R (2022)

Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data

Parallel Computing for Data Science: with Examples in R and Beyond (2015)

R Inferno (2012)

Introduction to Regression Methods for Public Health Using R (2023)

R Code Corresponding to the Book Introduction to Meta-Analysis by Borenstein et al. (2023)

R Guide for TMLE in Medical Research (2021)

Causal Inference in R (2024)

Modern Causal Mediation Analysis Workshop (2023)

Visualization

R Graphics Cookbook (2023)

ggplot2: Elegant Graphics for Data Analysis (2016)

Graphical Data Analysis with R (2015)

Interactive web-based data visualization with R, plotly, and shiny (2019)

Mastering Shiny (2021)

R Graph Gallery

Reporting

bookdown: Authoring Books and Technical Documents with R Markdown (2022)

R Markdown: The Definitive Guide (2022)

R Markdown Cookbook (2022)

blogdown: Creating Websites with R Markdown (2022)

Dynamic Documents with R and knitr, 2ed (2015)

Machine Learning

Hands-On Machine Learning with R (2020)

An Introduction to Machine Learning with R (2020)

Deep Learning (2018)

Development

The Tidyverse Style Guide

The Tidyverse Design Guide

Let’s Git started (2021)

Mastering Software Development in R (2020)

R Packages, 2ed (2015)

Model Comparisons (2021)

rOpenSci Packages (2024)