Free R Programming eBooks
R is a red-hot programming language used by some of the biggest tech companies in the world. R is mostly used for statistics and data analysis, which means that data scientists, statisticians, and analysts use R to make sense of data. Although R may seem daunting due to its differences when compared to other programming languages, R is a powerful tool that’s open-source and free for anyone to use.
A comprehensive collection of free books for learning the R programming language :
- R Programming for Data Science (Roger D. Peng)
- R Programming (Wikibooks, 2014)
- Advanced R (Hadley Wickham, 2014)
- A Little Book of R for Time Series (Avril Coghlan, 2015)
- The R Manuals (R Development Core Team)
- Learning Statistics with R (Daniel Navarro, 2015)
- Learn R (Kun Ren, 2015)
- R by Example (Ajay Shah, 2005)
- Practical Regression and Anova using R (Julian J. Faraway, 2002)
- The R Inferno (Patrick Burns, 2011)
- Ecological Models and Data in R (Benjamin M. Bolker, 2008)
- Spatial Epidemiology Notes: Applications and Vignettes in R (Charles DiMaggio, 2014)
