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The Comprehensive R Archive Network ( CRAN ) is a collection of sites which carry identical material, consisting of the R distribution(s), the contributed extensions, documentation for R, and binaries.
R is widely used in data science by statisticians and data miners for data analysis and the development of statistical software. R is one of the most comprehensive statistical programming languages available, capable of handling everything from data manipulation and visualization to statistical analysis.
Microsoft Machine Learning Server includes R and the packages above. So do SQL Server, and HDInsight (the big-data platform on Azure). Microsoft also provides paid support for R to customers of these products.
R is available as Free Software under the terms of the Free Software Foundations 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.
Editors that support R include Emacs, Vim (Nvim-R plugin), Kate, LyX, Notepad++, Visual Studio Code, WinEdt, and Tinn-R. Jupyter Notebook can also be configured to edit and run R code.
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R was developed in 1993 by Ross Ihaka and Robert Gentleman and includes linear regression, machine learning algorithms, statistical inference, time series, and more. R is a universal programming language compatible with the Windows, Macintosh, UNIX, and Linux platforms.
1. the 18th letter and 14th consonant of the modern English alphabet. 2. a speech sound represented by this letter, in English usually an alveolar semivowel, as in red.
The most popular version of R is open source and runs on any OS, but the environments are slightly different. Given Windows or Linux, I would learn it on Linux.

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