Books on R

This is an annotated list of books on R. It is idiosyncratic as it reflects my own preferences, and incomplete, as I list books that I have either bought or borrowed from libraries. The selection of titles is also biased because I have read mostly those books that are useful in my own research field. (Book titles are linked pages with links to publishers and in some cases also containing short reviews of the books.)


Beckerman AP, Petchey OL (2012) Getting Started with R: An Introduction for Biologists. Oxford University Press, Oxford.
Mike Allerhand (2011) A Tiny Handbook of R. Springer.


MPJ Van der Loo, Edwin de Jonge (2012) Learning RStudio for R Statistical Computing Packt Publishing p. 126, ISBN 13 9781782160601


Hadley Wickham (2014) Advanced R Chapman and Hall/CRC, 476 pp., ISBN 9781466586963


Data analysis

Prabhanjan Narayanachar Tattar (2013) R Statistical Application Development by Example Beginner’s Guide, Packt Publishing p. 344. ISBN 13 9781849519441
Paurush Praveen Sinha (2014) Bioinformatics with R Cookbook Packt Publishing 340 pp. ISBN13 9781783283132
Michael Dorman (2014) Learning R for Geospatial Analysis Packt Publishing 364 pp., ISBN 13 9781783984367
Brett Lantz (2013) Machine Learning with R Packt Publishing, 396 pp., ISBN 13 9781782162148

Reproducible research


Roger D. Peng (2015) R Programming for Data Science leanpub, 147 pp.
Norman Matloff (2011) Art of R Programming no starch press, 400 pp., ISBN 9781593273842
Hadley Wickham (2015) R Packages: Organize, test, document and share your code O’Reilly Media, 201 pp., ISBN 978-1-491-91059-7
Kelly Black (2014) R Object-oriented Programming Packt Publishing 190 pp., ISBN 13 9781783986682

Leave a Reply

Back to Top