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R is a free software environment for statistical computing and graphics This includes gender, sexual orientation, race, age, disability, religion, economic status, and appearance 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. 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 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.
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.
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