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.
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.
About R
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 provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity.
One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed. Great care has been taken over the defaults for the minor design choices in graphics, but the user retains full control.
R is available as Free Software under the terms of the Free Software Foundation’s GNU General Public License in source code form. It compiles and runs on a wide variety of UNIX platforms and similar systems (including FreeBSD and Linux), Windows and MacOS. https://www.r-project.org/
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I used R quite extensively about 10 years ago. It was a useful OpenSource application that was easy and intuitive to use and learn - plus it ran nicely in Windows DOS. Then Google acquired/bought the operation and started integrating under their GoogleFusion Project and it seemed to get a boost. But it seemed clear that it was only a preliminary inquiry and I think they decided to move more decisively into GoogleCode expanding their "Cloud" product utilizing their Java (which having seen where they are now was I think the right decision.
Al-in-all it is a simple Terminal/DOS window kind of older application - and with a bit of study is easily acquired - but in the scheme of things it would be more productive to learn Java and use the greatly expanded functionality into G-Suite/Google Docs (all in the cloud) than be stuck in this Year2000 technololgy.
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