R 4.2.2 binary for macOS 10.13 ( High Sierra) and higher, Intel 64-bit (older Macs) build, signed and notarized package.Ĭontains R 4.2.2 framework, R.app GUI 1.79 in 64-bit for Intel Macs, Tcl/Tk 8.6.6 X11 libraries and Texinfo 6.7. Any external libraries and tools are expected to live in /opt/R/arm64 to not conflict with Intel-based software and this build will not use /usr/local to avoid such conflicts (see the tools page for more details). If you wish to compile R packages which contain Fortran code, you may need to download GNU Fortran for arm64 from. This release uses Xcode 13.1 and experimental GNU Fortran 12 arm64 fork. Always re-install XQuartz when upgrading your macOS to a new major version. Note: the use of X11 (including tcltk) requires XQuartz (version 2.8.1 or later). MacOS Ventura users: there is a known bug in Ventura, if the installation fails, move the downloaded file away from the Downloads folder (e.g., to your home or Desktop) Important: this version does NOT work on older Intel-based Macs - see below for Intel version. R 4.2.2 binary for macOS 11 ( Big Sur) and higher, Apple silicon arm64 build, signed and notarized package.Ĭontains R 4.2.2 framework, R.app GUI 1.79 for Apple silicon Macs (M1 and higher), Tcl/Tk 8.6.12 X11 libraries and Texinfo 6.8.

Latest release: R-4.2.2-arm64.pkg (notarized and signed) If Apple tools are not avaiable you can check the SHA1 checksum of the downloaded image: Please check the integrity of the downloaded package by checking the signature: R 4.2.2 'Innocent and Trusting' released on 1

Package binaries for R versions older than 3.2.0 are only available from the CRAN archive so users of such versions should adjust the CRAN mirror setting ( ) accordingly. Note: Although we take precautions when assembling binaries, please use the normal precautions with downloaded executables. Releases for old Mac OS X systems (through Mac OS X 10.5) and PowerPC Macs can be found in the old directory. This directory contains binaries for a base distribution and packages to run on macOS.

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