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If you have questions about r like how to download and install the software, or what the license terms are, please read our answers to frequently asked questions before you send an email. R is ‘gnu s’, a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques Linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, etc. 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. Cran has a growing list of contributed documentation in a variety of languages. This directory contains previous binary releases of r for windows The current release, and links to development snapshots, are available here
Please visit that page especially during beta stages to help us test the macos binaries before final release! It is also possible to use a general search site like google, by qualifying the search with “r” or the name of an r package (or both). R comes with a single library, r_home/library which is the value of the r object ‘ ’ containing the standard and recommended 29 packages Both sites and users can create others and make use of them (or not) in an r session.
Our introduction to the r environment did not mention statistics, yet many people use r as a statistics system We prefer to think of it of an environment within which many classical and modern statistical techniques have been implemented.
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