How Download R In Mac

• R Update Mac
• R For Mac Os X
• R Statistical Software For Mac

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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.

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.

Index

Nightly builds for macOS

R framework

Build	OS	Date	Status	Download
R-3.6-branch 3.6.3 Patched (2020/04/28, r78971)	el-capitan	Aug 4 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 beta (2020/10/01, r79287)	high-sierra	Oct 1 21:41	x86_64: OK (log) Package: OK	R-4.0-branch.tar.gz (72Mb) R-4.0-branch.pkg (85Mb, installer incl. GUI)
R-devel 4.1.0 Under development (unstable) (2020/10/01, r79287)	high-sierra	Oct 1 21:52	x86_64: OK (log) Package: OK	R-devel.tar.gz (73Mb) 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).

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Alternatively, you can use the tar-ball (*.tar.gz) in the table above. The tar-ball must be unpacked in the root directory using:

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$ tar fvxz R*.tar.gz -C /

NOTE: The tar-ball does not contain the GUI (see below for a separate download).

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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.

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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. 7889 for R 4.0.x	high-sierra-Debug.dmg	R-GUI-7889-4.0-high-sierra-Debug.dmg
Mac OS X GUI rev. 7889 for R 4.0.x	high-sierra-Release.dmg	R-GUI-7889-4.0-high-sierra-Release.dmg
Mac OS X GUI rev. 7889 for R 4.1.x	high-sierra-Debug.dmg	R-GUI-7889-4.1-high-sierra-Debug.dmg
Mac OS X GUI rev. 7889 for R 4.1.x	high-sierra-Release.dmg	R-GUI-7889-4.1-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!).

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Disclaimer

All software is provided 'as is' and any express or implied warranties, including, but but not limited to the implied warranties of merchantability and fitness for a particular purpose are disclaimed. In no event shall the publisher, copyright owner or contributors be liable for any direct, indirect, incidental,special, exemplary, or consequential damages (including, but not limited to, procurement of substitute goods or services; loss of use, data or profits; or business interruption) however caused and on any theory of liability, whether in contract, strict liability, or tort (including negligence or otherwise) arising in any way out of the use of this software, even if advised of the possibility of such damage.

R is an open-source statistical package commonly used by statisticians developing new statistical methods. While it is more difficult to learn and use than Stata, SAS or SPSS, some cutting-edge techniques have only been implemented in R.

R Update Mac

R is already installed on Winstat, on the SSCC Linux servers and in the SSCC computer labs. But since R is open-source, you are free to download, install and use R on your computer as well. This article will help you to do so on either a Windows computer or a Mac.

Windows

Go to the R for Windows download page, then click Download R #.#.# for Windows, where #.#.# will be the version number of the current version. Your browser will then download the file r-#.#.#-win32.exe. When the download is complete, double-click on the file to start the installation.

Mac

Go to the R for Mac OS X download page, then click on R-#.#.#.dmg where #.#.# will be the version number of the current version. When that file has finished downloading, double-click on it to start the installation.

R For Mac Os X

Packages

If your computer is always connected to the SSCC network, you may want to store your packages on your U: drive. Then if you ever want to run R on Winstat or in the SSCC computer labs your packages will already be installed. See Using R Packages on SSCC Computers for instructions.

R Statistical Software For Mac

Updating R

To update R, uninstall it and then install the latest version as described above. Collide with the sky tour.

If you had R store your packages on the U: drive, they'll be available immediately. Otherwise they are stored with the program and you'll need to move them from the old version's folder to the new version's. In Windows the default library location is C:Program FilesRR-#.#.#library and it is similar on a Mac. For example, to move packages installed under R 2.9.1 to R 2.9.2, take the library folder in C:Program FilesRR-2.9.1 and put it under C:Program FilesRR-2.9.2.

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