Learning Resources

Updated: 2023-11-26

Choosing R or Python: https://medium.com/analytics-and-data/r-vs-python-a-comprehensive-guide-for-data-professionals

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)

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)

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)

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)