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  • The R Project for Statistical Computing
    To download R, please choose your preferred CRAN mirror If you have questions about R like how to download and install the software, or what the license terms are, please read our answers to frequently asked questions before you send an email
  • R-4. 5. 2 for Windows - The Comprehensive R Archive Network
    Please see the R FAQ for general information about R and the R Windows FAQ for Windows-specific information
  • 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
  • R for Windows
    Package developers might want to contact Uwe Ligges directly in case of questions suggestions related to Windows binaries You may also want to read the R FAQ and R for Windows FAQ Note: CRAN does some checks on these binaries for viruses, but cannot give guarantees Use the normal precautions with downloaded executables
  • Previous Releases of R for Windows
    This directory contains previous binary releases of R for Windows The current release, and links to development snapshots, are available here Source code for these releases and others is available through the main CRAN page In this directory:
  • Rtools44 for Windows - The Comprehensive R Archive Network
    Rtools is a toolchain bundle used for building R packages from source (those that need compilation of C C++ or Fortran code) and for building R itself Rtools44 is used for R 4 4 x and has been used for R-devel, the development version of R, in revisions 86114 to 87994
  • CRAN: Package ggplot2 - The Comprehensive R Archive Network
    Documentation: Downloads: Reverse dependencies: Linking: Please use the canonical form https: CRAN R-project org package=ggplot2 to link to this page
  • CRAN: Package tictoc - The Comprehensive R Archive Network
    tictoc: Functions for Timing R Scripts, as Well as Implementations of "Stack" and "StackList" Structures




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