- R for Data Science (by Hadley Wickham & Garrett Grolemund): a really useful book for learning data science skills in R.
- Advanced R (by Hadley Wickham): advanced topics about programming with R.
- R Packages (by Hadley Wickham & Jenny Bryan): a must-read if you are planning to develop an R package.
- Discovering Statistics Using R (by Andy Field, Jeremy Miles & Zoë Field): basic statistical concepts with applications in R.
- An Introduction to Statistical Learning (by Gareth James, Daniela Witten, Trevor Hastie & Robert Tibshirani) : a more advanced book on statistical methods.
- Statistical Computing with R (by Maria L. Rizzo): computational statistics tools and numerical methods.
- Data Visualization: A Practical Introduction (by Kieran Healy): learn to make informative and beautiful visualizations with R.

- The R Graph Gallery: help and inspiration for R charts.
- Karl Broman’s website: you can find some helpful content, particularly on the tutorials page.
- Scientist Sees Squirrel: great posts about scientific writing and some other stuff.
- Brushing Up Science: everything about presenting science: figures, fonts, typesetting, symbols, talks, posters, etc.