R (programming language)

R is a

• powerful, free and open source, cross-platform, statistical and graphing software package;
• programming language;
• software environment for statistical computing.

Downloading R

Visit the R Project home page.

Tutorials

There are many well developed and maintained R tutorials on the web, e.g., http://www.cyclismo.org/tutorial/R

• Installation process
• Tutorials
  • Tutorials/Algebra
  • Tutorials/Connecting Fortran and R
  • Tutorials/Introduction
  • Tutorials/Linear algebra
  • Tutorials/Loading data
  • Tutorials/Plotting

Books that are Helpful When Learning R

• An R Companion for Applied Regression (2nd ed.) - ISBN 141297514X
• Introductory Statistics with R
• Using R for Data Analysis and Graphics: Introduction, Code and Commentary, by J. H. Maindonald (PDF)
• An Introduction to R, by W. N. Venables, D. M. Smith, and the R Development Core Team (PDF)
• R in Action - ISBN 1935182390
• Efficient programming in R .
• Advanced R by Hadley Wickham

See also

• Wikipedia: R (programming language)
• Wikibooks:R Programming
• Searching R Packages: A discussion of current search capabilities, inviting readers to help draft a proposal for improvements that might be funded, e.g., by the R Foundation.

External links

• R (Official site)
• R archive (Manuals, downloads, etc.)
• R wiki
• R mailing lists - R-help - R-teaching - Posting guide
• Using R for psychological research: A simple guide to an elegant package
• Guide to R for Analysts
• Programming R
• R Bloggers
• R Tutorial

Books

• Books on R and S - list
• Shravan Vasishth and Michael Broe - The foundations of statistics: A simulation-based approach - draft
• Benjamin M. Bolker - Ecological Models and Data in R
• R Development Core Team - R Language Definition - (aka `R Language Manual'), the basics of R, draft, 60 pages
• R manuals, tutorials and samples - fairly large number of documentation available/downloadable for free, also non-English learning materials

"Speeding Up Ecological and Evolutionary Computations in R; Essentials of High Performance Computing for Biologists". PLOS Computational Biology 11 (3): e1004140. 2015. doi:10.1371/journal.pcbi.1004140. ISSN 1553-7358.