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The R Project for Statistical Computing R is a free software environment for statistical computing and graphics It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS To download R, please choose your preferred CRAN mirror
R (programming language) - Wikipedia R is free and open-source software distributed under the GNU General Public License [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 | STAT ONLINE "R is a language and environment for statistical computing and graphics " "R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ) and graphical techniques, and is highly extensible "
Introduction to R - OARC Stats R is a programming environment for statistical computing and graphics These tools are distributed as packages, which any user can download to customize the R environment Why (and why not) R? You can work directly in R, but most users prefer a graphical interface
RStudio Education No one starting point will serve all beginners, but here are 6 ways to begin learning R
The Comprehensive R Archive Network 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
Chapter 1 Introduction to R | Introduction to R R is a free and open source programming language widely used in academia, industry and government organisations for data science and machine learning R is well suited for interactive data analysis, visualization and modeling
Coefficient of determination - Wikipedia 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)