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Join millions of people and discover an infinite variety of immersive experiences created by a global community! [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). 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. 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. Cran has a growing list of contributed documentation in a variety of languages. This is an introduction to r (“gnu s”), a language and environment for statistical computing and graphics 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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