H&R Block Tax Software Deluxe + State 2019 with 4% Refund Bonus Offer Amazon Exclusive Mac Download Visit the H&R Block Store Platform: Mac OS X 10.9 Mavericks, Mac OS Catalina 10.15. The R Project for Statistical Computing Getting Started. 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. Free download R Remote R Remote for Mac OS X. The R Remote application allows remote control of the head amplifiers in the Rio3224-D, Rio1608-D, and Ri8-D I/O rack units without the need for a CL series or similar digital mixing console with remote. Download R for the system that you use. This instruction is for Mac OS X system, so you will click on Download R for (Mac) OS X. In the Download R for Mac OS web page click R-3.4.0.pkg or the most recent version of the package.
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.Important note about R 4.0.0
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.
Apple silicon update: it is now possible to build R for the Apple silicon arm architecture (new Macs with the M1 processor) - see our R developer blog post. The plan is to have an official native arm release of R 4.1.0, but in the meantime we intend to provide native builds of R-devel here once the hardware arrives (est. mid-December). That said, our current Intel releases work just fine on the new Macs as well.
- Will R Work on Apple Silicon?(Information on the status of the port to Apple's new M1 architecture.)
Nightly builds for macOS
|el-capitan||Nov 28 23:30||x86_64: OK (log)|
R-3.6-branch-el-capitan-signed.pkg (77Mb, installer incl. GUI)
|high-sierra||Nov 28 21:41||x86_64: OK (log)|
R-4.0-branch.pkg (85Mb, installer incl. GUI)
4.1.0 Under development (unstable)
|high-sierra||Nov 28 21:52||x86_64: OK (log)|
R-devel.pkg (85Mb, installer incl. GUI)
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.
Download R Statistical Software For Mac
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
|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. 7899 for R 4.0.x||high-sierra-Debug.dmg||R-GUI-7899-4.0-high-sierra-Debug.dmg|
|Mac OS X GUI rev. 7899 for R 4.0.x||high-sierra-Release.dmg||R-GUI-7899-4.0-high-sierra-Release.dmg|
|Mac OS X GUI rev. 7899 for R 4.1.x||high-sierra-Debug.dmg||R-GUI-7899-4.1-high-sierra-Debug.dmg|
|Mac OS X GUI rev. 7899 for R 4.1.x||high-sierra-Release.dmg||R-GUI-7899-4.1-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.
ToolsIn 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 packagesThis 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 RThe 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 binariesThe 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.