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    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
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    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!"
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    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
  • An Introduction to R
    R is very much a vehicle for newly developing methods of interactive data analysis It has developed rapidly, and has been extended by a large collection of packages However, most programs written in R are essentially ephemeral, written for a single piece of data analysis
  • 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 Please consult the R project homepage for further information
  • 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
  • Finding Your Way To R - RStudio
    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




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