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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
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: Conferences The invited keynote lectures cover a broad spectrum of topics ranging from technical and R-related computing issues to general statistical topics of current interest
Rtools45 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 Rtools45 is currently used for R 4 5 and R-devel, the development version of R, to become R 4 6 0
R: A Language and Environment for Statistical Computing Permission is granted to copy and distribute translations of this manual into another language, under the above conditions for modified versions, except that this permission notice may be stated in a translation approved by the R Core Team R is free software and comes with ABSOLUTELY NO WARRANTY
CRAN: Package Cairo - The Comprehensive R Archive Network R graphics device using cairographics library that can be used to create high-quality vector (PDF, PostScript and SVG) and bitmap output (PNG,JPEG,TIFF), and high-quality rendering in displays (X11 and Win32) Since it uses the same back-end for all output, copying across formats is WYSIWYG
Help for package arrow - The Comprehensive R Archive Network This lets you do more complex operations in R that operate on chunks of data without having to hold the entire Dataset in memory at once You can include map_batches() in a dplyr pipeline and do additional dplyr methods on the stream of data in Arrow after it
README - The Comprehensive R Archive Network When you are learning D3 or translating D3 examples for use with R it’s important to keep in mind that D3 examples will generally include code to load data, create an SVG or other root element, and establish a width and height for the visualization