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.
Mac user? Use the table above to determine the version of R needed then go to this page or here to download.
Download Python
The Python Essentials for Statistics versions 22 and later are fully integrated with the main Statistics installation. They are no longer a separate item. You can install additional extension commands or update ones already installed from the Utilities menu within Statistics. The .NET plugins for versions 22 and later (Windows only) remains a separate download from the site where you download Statistics. It is also included on the physical media. Use the table below as a guide for different versions of SPSS Statistics.
Important: Support for the .NET Plugin is deprecated starting with IBM SPSS Statistics 25. The .NET Plugin is supported only in versions prior to version 25. For version 25, and all subsequent releases (including Subscription), you can build the .NET Plugin functionality via the Programmability SDK package. IBM no longer provides the .NET Plugin installer or corresponding support.
Get Extensions!
Any Unix/Linux or Mac OS X system should have no trouble running Homer. How to prioritize projects. Homer may also be run on Windows using Cygwin Linux emulation software. Download the 'configureHomer.pl' script and place it in a directory where you would like homer to be installed (i.e. Run the configureHomer.pl script to install homer. R-2.15.2 for Windows (32/64 bit) Download R 2.15.2 for Windows (47 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.
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.
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 Patched (2020/10/12, r79333) | high-sierra | Oct 12 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) (2020/10/12, r79333) | high-sierra | Oct 12 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).
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. 7893 for R 4.0.x | high-sierra-Debug.dmg | R-GUI-7893-4.0-high-sierra-Debug.dmg |
Mac OS X GUI rev. 7893 for R 4.0.x | high-sierra-Release.dmg | R-GUI-7893-4.0-high-sierra-Release.dmg |
Mac OS X GUI rev. 7893 for R 4.1.x | high-sierra-Debug.dmg | R-GUI-7893-4.1-high-sierra-Debug.dmg |
Mac OS X GUI rev. 7893 for R 4.1.x | high-sierra-Release.dmg | R-GUI-7893-4.1-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.Download R For Mac
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.
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.PREDICTIVE ANALYTICSDOWNLOADS
Get started using extensions for SPSS Statistics and Modeler
Canon mf 4300 driver download mac. You can add new features in IBM SPSS Modeler and SPSS Statistics using IBM Predictive Extensions. There are more than 200 extensions available in the catalog. It just takes three steps to get started:
New to using extensions in IBM SPSS Statistics or Modeler?
Click the buttons on the left to set up your system to run extensions, then check out our GitHub page to find and install the extensions you want.
Download RClick the buttons on the left to set up your system to run extensions, then check out our GitHub page to find and install the extensions you want.
Install R For Mac
To use extensions written in R, you need the correct version of R installed on your system. Reference the table below to see which version of R you need. If you do not have the required version installed, click link to find the download for your system.
Version of SPSS Statistics | Version of R to download | Link to download for Windows |
Version Subscription | R 3.6.x | Link for download |
Version 26 | R 3.5.x | Link for download |
Version 25 | R 3.3.x | Link for download |
Version 24 | R 3.2.x | Link for download |
Version 23 | R 3.1.x | Link for download |
Version 22 | R 2.15.x | Link for download |
Version 21 | R 2.14.x | Link for download |
Version 20 | R 2.12.x | Link for download |
Version of SPSS Modeler | Version of R to download | Link to download for Windows |
Version 18 | R 3.2.x | Link for download |
Version 17 | R 3.1.x | Link for download |
Version 16 | R 2.15.x | Link for download |
Mac user? Use the table above to determine the version of R needed then go to this page or here to download.
Download Python
During the installation process for SPSS Statistics version 22 or later, there is an option to install the version of Python needed for extensions. If you did not install Python during installation or are using an older version, you will need to download and install Python version 2.7.
R Essentials for Statistics or Modeler on GitHub
R Essentials enables using R within SPSS Statistics or Modeler. Each SPSS product and version has a different R Essentials, so choose the right download for your version. Download the version for your platform and follow the installation instructions. Be sure to read the installation instructions. You must download and install the appropriate R version from the R CRAN site before installing the Essentials.
Python and .NET Essentials for SPSS StatisticsR Essentials enables using R within SPSS Statistics or Modeler. Each SPSS product and version has a different R Essentials, so choose the right download for your version. Download the version for your platform and follow the installation instructions. Be sure to read the installation instructions. You must download and install the appropriate R version from the R CRAN site before installing the Essentials.
Download R-studio For Mac
The Python Essentials for Statistics versions 22 and later are fully integrated with the main Statistics installation. They are no longer a separate item. You can install additional extension commands or update ones already installed from the Utilities menu within Statistics. The .NET plugins for versions 22 and later (Windows only) remains a separate download from the site where you download Statistics. It is also included on the physical media. Use the table below as a guide for different versions of SPSS Statistics.
R For Mac Os X
Important: Support for the .NET Plugin is deprecated starting with IBM SPSS Statistics 25. The .NET Plugin is supported only in versions prior to version 25. For version 25, and all subsequent releases (including Subscription), you can build the .NET Plugin functionality via the Programmability SDK package. IBM no longer provides the .NET Plugin installer or corresponding support.
Version of SPSS Statistics | Explanation | Link to download for Windows (if applicable) |
Subscription | Python Essentials is fully integrated with the main installation. Please go to SDK website to find more information about .NET plug-in | Link for SDK |
Version 25 and later | Python Essentials is fully integrated with the main installation. Please go to SDK website to find more information about .NET plug-in | Link for SDK |
Versions 22,23,24 | Python Essentials is fully integrated with the main installation. Download .NET plug-in from the site where you download Statistics. | Link for .NET plug-in |
Version 21 | Python Essentials and .NET Plug-in are available for download NOTE: They are compatible with Statistics 21.0.0, 21.0.0.1 and 21.0.0.2. | Link for download |
Version 20 | Python Essentials and .NET Plug-in are available for download NOTE: if you have the 20.0.0.0 or 20.0.0.1 version of the Essentials installed, you must uninstall it before installing this update. | Link for download |
Version 19 | Python Essentials and .NET Plug-in are available for download NOTE: They are compatible with Statistics 19.0.0, 19.0.0.1, and 19.0.0.2. | Link for download |
Version 18 | Python Essentials and .NET Plug-in are available for download NOTE: They are compatible with Statistics 18.0.2 and 18.0.3. | Link for download |
Download R Mac Os
R On Mac
Click the button below to see the extensions currently available on the IBM Predictive Analytics GitHub page. Add to what you can get done in SPSS Statistics and Modeler by getting extensions that connect to APIs, plot geospatial data, add external data sources, process advanced statistical techniques not currently featured in the products, and many other things.