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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. R is not just a programming language, but it is also an interactive ecosystem including a runtime, libraries, development environments, and extensions

All these features help you think about problems as a data scientist, while supporting fluent interaction between your brain and the computer. 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. Coefficient of determination in statistics, the coefficient of determination, denoted r2 or r2 and pronounced r squared, is the proportion of the variation in the dependent variable that is predictable from the independent variable (s).

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.

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