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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. 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. This build requires ucrt, which is part of windows since windows 10 and windows server 2016 On older systems, ucrt has to be installed manually from here. This is an introduction to r (“gnu s”), a language and environment for statistical computing and graphics
Cran has a growing list of contributed documentation in a variety of languages.
Provide support for the r project and other innovations in statistical computing We believe that r has become a mature and valuable tool and we would like to ensure its continued development and the development of future innovations in software for statistical and computational research.
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