Search results
Results from the WOW.Com Content Network
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.
Download R-4.4.1 for Windows (82 megabytes, 64 bit) README on the Windows binary distribution. New features in this version. This build requires UCRT, which is part of Windows since Windows 10 and Windows Server 2016. On older systems, UCRT has to be installed manually from here.
R 4.2.3 binary for macOS 10.13 (High Sierra) and higher, signed and notarized package. Contains R 4.2.3 framework, R.app GUI 1.79 in 64-bit for Intel Macs, Tcl/Tk 8.6.6 X11 libraries and Texinfo 6.7.
Download and Install R. Precompiled binary distributions of the base system and contributed packages, Windows and Mac users most likely want one of these versions of R: Download R for Linux (Debian, Fedora/Redhat, Ubuntu) Download R for macOS. Download R for Windows.
Tools to build R and R packages. This is what you want to build your own packages on Windows, or to build R itself. Please do not submit binaries to CRAN. Package developers might want to contact Uwe Ligges directly in case of questions / suggestions related to Windows binaries.
R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible.
Download R 3.2.2 for Windows (64 megabytes, 32/64 bit) Installation and other instructions. New features in this version. If you want to double-check that the package you have downloaded exactly matches the package distributed by R, you can compare the md5sum of the .exe to the true fingerprint.
If you are not sure if you need to update R or not, It is better to use updateR for updating R, since it includes more options. But in case you wish to only install R, with no other steps taken (for example, taking care of your old packages), then you can use install.R()
CRAN Mirrors. The Comprehensive R Archive Network is available at the following URLs, please choose a location close to you. Some statistics on the status of the mirrors can be found here: main page, windows release, windows old release.
RStudio is a free and open source integrated development environment (IDE) for R, a programming language for statistical computing and graphics.