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The R Project for Statistical Computing The R Project for Statistical Computing Getting Started R is a free software environment for statistical computing and graphics It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS To download R, please choose your preferred CRAN mirror
The Comprehensive R Archive Network The Comprehensive R Archive Network (CRAN) provides access to resources, packages, and documentation for the R programming language
Documentation - The R Project for Statistical Computing Documentation Document Collections, Journals and Proceedings In addition to the manuals, FAQs, the R Journal and its predecessor R News, the following sites may be of interest to R users: Browsable HTML versions of the manuals, help pages and NEWS for the developing versions of R “ R-patched ” and “ R-devel ”, updated daily
Getting Help with R Getting Help with R Helping Yourself Before asking others for help, it’s generally a good idea for you to try to help yourself R includes extensive facilities for accessing documentation and searching for help There are also specialized search engines for accessing information about R on the internet, and general internet search engines can also prove useful (see below) R Help: help() and
CRAN: Manuals - The Comprehensive R Archive Network The R Manuals edited by the R Core Team The following manuals for R were created on Debian Linux and may differ from the manuals for Mac or Windows on platform-specific pages, but most parts will be identical for all platforms The correct version of the manuals for each platform are part of the respective R installations
R for Windows Note: CRAN does some checks on these binaries for viruses, but cannot give guarantees Use the normal precautions with downloaded executables
An Introduction to R Preface This introduction to R is derived from an original set of notes describing the S and S-Plus environments written in 1990–2 by Bill Venables and David M Smith when at the University of Adelaide We have made a number of small changes to reflect differences between the R and S programs, and expanded some of the material