This is the new home for experimental binaries and documentation related to R for macOS. To learn more about the R software or download released versions, please visit www.r-project.org.
- Included in the Mac operating system. Supports smart folders and robust filters.
- Installing R on Mac OSX. Installing R on Mac OS is similar to Windows. Once again, The easiest way is to install it through CRAN by going to the CRAN downloads page and following the links as shown in the video below: The next step is to click on the 'R-3.6.2.pkg' (or newer version) file to begin the installation.
- The new R version appear right after I install R and restart RStudio. Update: For Mac users, solution 3 is too painful and not working well for me. This method is fast and working well.
R statistics free download - R Project, PASW Statistics, R Studio Data Recovery Software, and many more programs.
All software on this page is strictly experimental and subject to acceptance of the supplied R license agreement and the disclaimer at the end of the page.
Starting with R 4.0.0 alpha we are building R using standard Apple tools (Xcode 11.4) and GNU Fortran 8.2 from fxcoudert and the target is macOS 10.13 (High Sierra). All dependent static libraries are available in the libs-4 directory. Please make sure you remove any modifications to build flags from your home since no custom compilers are used anymore. For more information about alternative OpenMP options (as in older version) see the openmp page of this site.
Index
Nightly builds for macOS
R framework
| Build | OS | Date | Status | Download |
|---|---|---|---|---|
| R-3.6-branch 3.6.3 Patched (2020/04/28, r79367) | el-capitan | Oct 24 23:30 | x86_64: OK (log) Package: OK | R-3.6-branch-el-capitan-sa-x86_64.tar.gz (67Mb) R-3.6-branch-el-capitan-signed.pkg (77Mb, installer incl. GUI) |
| R-4.0-branch 4.0.3 Patched (2020/10/23, r79367) | high-sierra | Oct 24 21:41 | x86_64: OK (log) Package: OK | R-4.0-branch.tar.gz (73Mb) R-4.0-branch.pkg (85Mb, installer incl. GUI) |
| R-devel 4.1.0 Under development (unstable) (2020/10/24, r79367) | high-sierra | Oct 24 21:52 | x86_64: OK (log) Package: OK | R-devel.tar.gz (73Mb) R-devel.pkg (85Mb, installer incl. GUI) |
How To Download R Program For Mac 10.14.6
The installer image (*.pkg) is packaged exactly the same way as the CRAN release of R (including the GUI) and it will update your R version (unless you use pkgutil - see instructions during installation and/or the 'Multiple versions'section of the R Installation and Administration manual).
Alternatively, you can use the tar-ball (*.tar.gz) in the table above. The tar-ball must be unpacked in the root directory using:
$ tar fvxz R*.tar.gz -C /
NOTE: The tar-ball does not contain the GUI (see below for a separate download).
NOTE: The installer includes Tcl/Tk package which will install in /usr/local. It is optional (only needed for the tcltk R package) and can be unchecked at installation time.
If you see any issues with the builds, please contact Simon Urbanek (the macOS maintainer of R) or report on the R-SIG-Mac mailing list.
Mac OS X GUI
| Version | Build | Download |
|---|---|---|
| Mac OS X GUI rev. 7782 for R 3.6.x | el-capitan-Debug.dmg | R-GUI-7782-3.6-el-capitan-Debug.dmg |
| Mac OS X GUI rev. 7782 for R 3.6.x | el-capitan-Release.dmg | R-GUI-7782-3.6-el-capitan-Release.dmg |
| Mac OS X GUI rev. 7894 for R 4.0.x | high-sierra-Debug.dmg | R-GUI-7894-4.0-high-sierra-Debug.dmg |
| Mac OS X GUI rev. 7894 for R 4.0.x | high-sierra-Release.dmg | R-GUI-7894-4.0-high-sierra-Release.dmg |
| Mac OS X GUI rev. 7894 for R 4.1.x | high-sierra-Debug.dmg | R-GUI-7894-4.1-high-sierra-Debug.dmg |
| Mac OS X GUI rev. 7894 for R 4.1.x | high-sierra-Release.dmg | R-GUI-7894-4.1-high-sierra-Release.dmg |
To install, open the image and drag the R icon to your Applications folder. Alternatively the GUI can be run directly off that image without copying if you just want to test it. Build configurations with '64' suffix are 64-bit builds, all others are 32-bit (except for Debug). If you want to use both, rename one of them or place them in different directories.
Tools
In order to compile R and R packages you will need Xcode Developer Tools and a Fortran compiler. For details and download, please read the Tools page. The R 4.0.0 and higer binaries are built using Xcode 11.4.Experimental binary packages
This site no longer hosts experimental packages. It is now the master repository for released R package binaries. If you have issues with other mirrors, try using https://mac.r-project.org/ as your mirror as it is updated first.Legacy R
The current build supports only macOS X 10.13 (High Sierra) or higher. Older versions of macOS are not supported in binary form, but R can be compiled from sources for such legacy OS versions. Last released version for Mac OS X 10.4 (Tiger) was R 2.10.1, last release for Mac OS X 10.5 (Leopard) was R 2.15.3, last release for Mac OS X 10.11 (El Capitan) was R 3.6.3.Other binaries
The following binaries are not maintained or supported by R-core and are provided without any guarantee and for convenience only (Mac OS X 10.4.4 or higher required). They match the binaries used on the CRAN binary build machine and thus are recommended for use with CRAN R package binaries.- GTK+ 2.24.17 framework - 64-bit build of GTK+ 2.24.17, necessary for binary R packages that use GTK+ version 2 (such as RGtk2+). R 3.0.0 and higher, Snow Leopard build
Download: GTK_2.24.17-X11.pkg (ca. 41MB) - GTK+ 2.18.5 framework - universal build of GTK+ 2.18.5, necessary for binary R packages that use GTK+ version 2 (such as RGtk2+). R 2.10.0 - 2.15.3, Leopard build
Download: GTK_2.18.5-X11.pkg (ca. 58MB) - RSwitch - a small GUI that allows you to switch between R versions quickly (if you have multiple versions of R framework installed).
Download: RSwitch-1.2.dmg (ca 67kB, universal, updated 2011/03/24 to support R 2.13.0 and up)
Sources: RSwitch-1.2.tar.gz (Xcode project and sources)NOTE: Bob Rudis is maintaining a new version of a tool which has RSwitch functionality and more - see 3rd party RSwitch replacement (NOT related to R-Foundation or CRAN!).
More external libraries for R 4.0.0 and higher can be found in the /libs-4/ directory. For older versions see the /libs/ directory.