Overview
R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.
R is the fastest growing statistical software/language and is rapidly overtaking all others (e.g. SPSS, STATA, & SAS in popularity and use.) It is growing so quickly that it is probably best to use a google search for finding resources to get you started. In spite of this claim, we'll provide a few resources here since the google search can be completely overwhelming. For a view of where it's come from, check out R: Past and Future History (from 1998).
Contents
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Note that you need to login via your Carleton credentials for access to Lynda online courses.
See also:
- CRAN is a network of ftp and web servers around the world that store identical, up-to-date, versions of code and documentation for R: R Manuals
- RStudio: Support & Documentation
- Related articles:
- A 2011 article from RBloggers on
- Avril Coghlan maintains:
- “A Little Book of R for Biomedical Statistics”
- “A Little Book of R for Time Series”
- “A Little Book of R for Multivariate Analysis”
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