R is a free software environment for statistical computing and graphics. It runs on a wide variety of UNIX platforms, Windows and MacOS. This R Wiki is dedicated to the collaborative writing of R documentation.
For information on browsers, RSS syndication, copyright, ... read usage.
R comes with several official manuals and FAQs. These should be your primary source of information. Note also that the main location for general questions about R is the R-Help mailing list (but please make sure to read the posting guide before posting a question there!). Finally, R News is a newsletter dedicated to R.
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Getting started
Do you want to know what R is, or do you want to start using it?
What is R? – A short explanation and a few examples of R’s potential
Case studies – People explain how and why they started to use R
Installation – All you need to know to install R and additional R packages
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FAQ – Frequently Asked Questions
Guides
Long documents introducing R, demonstrating particular kinds of analyses, or describing how R is used in particular fields.
Books – Textbooks or book-length treatments
Demonstrations – Extended examples of how R works
Tutorials – Guided tours
Plus presentations organized by task (data manipulation, statistics, graphics, programming, ...) and by field (psychology, bioinformatics, ...)
Student Section
A section created by and for statistics students, of all levels.
Textbook Examples – Examples from standard textbooks used in various areas of statistics, worked out using R.
Tips & Tricks
A large compendium of short pages describing details of how particular commands can be used and giving examples of useful code.
Data: Getting data in and out of R; R’s data structures; data manipulation
Statistics: Statistical analysis of data; tests and models
Graphics: Plotting data, results of statistical analyses, checking model assumptions, etc.
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Other: Surprises and traps for the unwary, EasieR (various useful functions) and miscellaneous tips
Links
Other resources on the web, books about R, ...
R graphs, packages and documentation
Users, Wiki, etc.
Users: pages for individuals users, or for discussing R-related events.
Developers: Wiki pages dedicated to various R developments.
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