How to use R

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.)
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)

See also

Search for R on Wikipedia.

Wikibooks has a book on the topic of R Programming.

• R (Wikipedia)
• R Programming (Wikibooks)

External links

• R (Official site)
• R archive (Manuals, downloads, etc.)
• R wiki
• Riki: the wiki for R
• 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

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