R
From NCEAS Knowledge Base
R is a powerful software system designed for manipulating, analyzing, and graphing data. Essentially anything you can do using other popular off-the-shelf statistical software can also be done in R. In addition, R is an integrated programming environment, allowing users to script their own functions (or modify existing ones) to do customized tasks. This provides much of the flexibility of languages such as C, but with the advantage of building upon R's robust numerical routines, data management functions, and graphing tools. While the base installation will be sufficient for many users, dozens of downloadable "packages" have been developed for accomplishing specialized tasks, often using cutting-edge methods. R is supported by a large and active community of developers, including many ecologists and other scientists, and is highly-regarded at NCEAS because it meets all of the main criteria outlined on the NCEAS Scientific Computing page.
Contents |
Installation guides
As of 26-Oct-2009, the latest R release is R-2.10.0.
Where to find R add-on packages...
Tips & Tricks
R resources on the web
Resource portals
- The official R homepage
- RSeek.org (Customized Google search of the R universe)
- Jonathan Baron's R help page
- Jonathan Baron's R Site Search - Search R function contents, R-help mail archives
- The NCEAS R Programming Language Resource Center
General help
Data analysis
- Statistics with R
- CRAN Task View: Ecological and environmental analysis in R
- American Phytopathology Society short course on Analysis for Ecology and Epidemiology Using R
- Support wiki for Ben Bolker's book Ecological Models and Data in R
- Mixed-effects models in R
Database access
Distributed computing with R
- Report on parallel computing in R (released 26-Jan-2008)
- UAB grid-computing R group
