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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 is the fastest growing statistical software/language and is rapidly overtaking all others (e.g. SPSS, STATA, & SAS in popularity and use.) For a view of where it's come from, check out R: Past and Future History (from 1998).
RStudio Desktop is a powerful and productive user interface for R. It’s free and open source, and works great on Windows, Mac, and Linux.
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Regardless of licensing, please place all requests for software through ITS (see below). This way, the college may be able to save significant amounts of money by including the additional license(s) under existing agreements.If you would like to request a copy of this software, please see these instructions|#SWRequest|||||\ below.
Usage Restrictions
This section should remain the the form of three questions and the statement on "non-commercial" use.
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R (and RStudio) is available in all refreshing labs and classrooms. For a complete list, see: a list of what's where in the labs. - including the extensive full list of R libraries that are added in the install by ITS!
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How Do I Request R?
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- Laura Chihara's basic handouts for getting started with R: http://apps.carleton.edu/curricular/math/resources/rcomputing/
- A wealth of Online Learning opportunities identified by RStudio.
- In particular, read the R Style Guide for advice on how to write readable, maintainable code. (This is how other R users will expect your code to look when you share it.)
- RStudio: Support & Documentation
- Open Learning Initiative free course on Probability and Statistics (in which the assignments may be completed using R.) From Carnegie Mellon University.
- A (very) short introduction to R (and Rstudio)
- UDacity's Data Analysis with R: Investigate, Visualize, and Summarize Data (Fee-based training that includes a free trial period.)
- CRAN is a network of ftp and web servers around the world that store identical, up-to-date, versions of code and and documentation for R (Manuals).
Avril Coghlan maintains these 3 HTML or PDF "books":
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