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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)
  • What Is R Programming? Definition, Use Cases and FAQ
    R is a free, open-source programming language tailored for data visualization and statistical analysis Find out more about the R programming language below
  • LEARN R [Introduction, Data Structures, Data . . . - R CODER
    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
  • What is R in Programming? (Definition, Uses, Difficulty) | Built In
    R is a free, open-source programming language used for statistical analysis and data visualization Popular in data science, R offers powerful tools for modeling, plotting, and working with large data sets across research and industry
  • R Programming Language - Introduction - GeeksforGeeks
    R is a programming language and software environment that has become the first choice for statistical computing and data analysis Developed in the early 1990s by Ross Ihaka and Robert Gentleman, R was built to simplify complex data manipulation and create clear, customizable visualizations
  • Learn R - Online R Programming Tutorial
    Welcome to the learn-r org interactive R tutorial with Examples and Exercises If you want to learn R for statistics, data science or business analytics, either you are new to programming or an experienced programmer this tutorial will help you to learn the R Programming language fast and efficient
  • RStudio Education
    No one starting point will serve all beginners, but here are 6 ways to begin learning R




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