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  • R: 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
  • What is R? - An Introduction to The Statistical Computing Powerhouse . . .
    R is a statistical programming tool that’s uniquely equipped to handle data, and lots of it Wrangling mass amounts of information and producing publication-ready graphics and visualizations is easy with R So are all sorts of data analysis, mining, and modeling tasks
  • The Comprehensive R Archive Network
    What's new?
  • R Programming Language - Introduction - GeeksforGeeks
    R is an open-source programming language that is widely used as a statistical software and data analysis tool R generally comes with the Command-line interface R is available across widely used platforms like Windows, Linux, and macOS Also, the R programming language is the latest cutting-edge to
  • R Tutorial - W3Schools
    R is a programming language R is often used for statistical computing and graphical presentation to analyze and visualize data With our "Try it Yourself" editor, you can edit R code and view the result How to output some text, and how to do a simple calculation in R: "Hello World!" Result: [1] "Hello World!"
  • Chapter 1 Introduction to R | Introduction to R - Rsquared Academy
    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
  • What is R in Programming? (Definition, Uses, Difficulty) | Built In
    R is one of the most comprehensive statistical programming languages available, capable of handling everything from data manipulation and visualization to statistical analysis
  • What Is R Language? - Coursera
    R is a specialized programming language for statistical computing and data visualization, making it a popular choice for data scientists and business and data analysts




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