R & Statistics Resources

Teaching Materials

Biostatistics online tutorial
This self-learning tutorial covers data visualization in R, statistical distributions and hypothesis testing using biological examples.

Biostatistical Basics
This CSDA course covers data visualization in R, statistical distributions, hypothesis testing, multiple testing and contingency tables. It was held in June 2021 and September 2021. The next course will take place in spring 2023.

Bernd Klaus' teaching materials
Older CSDA courses (up to 2018).

Data Analysis and Visualization in R for Ecologists
Bio-IT/Data carpentry workshop on R, with a focus on the tidyverse methods.

HarvardX Biomedical Data Science Open Online Training
Lectures and R demonstrations on biological data analysis (incl. statistics) by the Irizarry lab.

Computing For Data Analysis
This is an online course by Roger Peng. It provides a comprehensive R-introduction.

Statistics books

Modern Statistics for Modern Biologists
By Susan Holmes and Wolfgang Huber. Statistical concepts illustrated with real biological data.

Introduction to Statistical Thought
By Michael L. Lavine. A very comprehensive introductory statistics book with a lot of R examples.

Open Intro Statistics
Less comprehensive but very detailled and with a lot of nice examples.

The Elements of Statistical Learning
By Trevor Hastie, Robert Tibshirani, and Jerome Friedma. A great ressource on all kinds of advanced methods in statistics.

An Introduction to Statistical Learning
By Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani. A more accessible and elementary version of the Elements


R for Data Science
By Hadley Wickham and Garrett Grolemund.

Repository with R packages for biological data analysis.

Rseek is a great place to start if you're looking for a specific problem you want to solve with R. It is a customized google search engine allowing to search the internet for R-related content.

CRAN Contributed Docs
The contributed documentation on CRAN (The Comprehensive R Archive Network) contains a lot of useful freely available R books and reference cards.