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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 Tutorial - W3Schools
    Learn R R is a programming language R is often used for statistical computing and graphical presentation to analyze and visualize data Start learning R now » 🏁
  • 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
  • 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
    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
  • R - Software for Data Analysis - Research Guides at University of . . .
    DataCamp provides this free introduction to the basics of R, an open source language, including factors, lists and data frames The tutorial is prepared by Institute for Digital Research Education at UCLA Topics range from Reading in Raw Data to Probabilities and Distributions R tutorial is complied by Clarkson University




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