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R is a free software environment for statistical computing and graphics Provide support for the r project and other innovations in statistical computing It compiles and runs on a wide variety of unix platforms, windows and macos

To download r, please choose your preferred cran mirror.

[3][11] the language is implemented primarily in c, fortran, and r itself Precompiled executables are available for the major operating systems (including linux, macos, and microsoft windows). This course is a set of tutorials sorted by category in which you will learn all the basics (and some more advanced content) to handle the r programming language. We offer best r programming tutorials for people who want to learn r, fast

We also provide examples for every single concept to make learning easy. 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. For information on how to ask questions, see, e.g., the r mailing list posting guide, and the document about how to create reproducible examples for r on stack overflow.

This is an introduction to r (“gnu s”), a language and environment for statistical computing and graphics

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