R for Mac OS X

This directory contains binaries for a base distribution and packages to run on Mac OS X (release 10.6 and above). Mac OS 8.6 to 9.2 (and Mac OS X 10.1) are no longer supported but you can find the last supported release of R for these systems (which is R 1.7.1) here. Releases for old Mac OS X systems (through Mac OS X 10.5) and PowerPC Macs can be found in the old directory.

Note: CRAN does not have Mac OS X systems and cannot check these binaries for viruses. Although we take precautions when assembling binaries, please use the normal precautions with downloaded executables.

R 3.2.0 "Full of Ingredients" released on 2015/04/18

This binary distribution of R and the GUI supports 64-bit Intel based Macs on Mac OS X 10.9 (Mavericks) or higher.

Please check the MD5 checksum of the downloaded image to ensure that it has not been tampered with or corrupted during the mirroring process. For example type
md5 R-3.2.0.pkg
in the Terminal application to print the MD5 checksum for the R-3.2.0.pkg image. On Mac OS X 10.7 and later you can also validate the signature using pkgutil --check-signature R-3.2.0.pkg


MD5-hash: e864e66b37d3bb4030ae21c9e8797b24
SHA1-hash: 673164a0d7ab53fd2b3a6873b11c4aa8e7fef194

(ca. 70MB)
R 3.2.0 binary for Mac OS X 10.9 (Mavericks) and higher, signed package. Contains R 3.2.0 framework, R.app GUI 1.65 in 64-bit for Intel Macs, Tcl/Tk 8.6.0 X11 libraries and Texinfo 5.2. The latter two components are optional and can be ommitted when choosing "custom install", it is only needed if you want to use the tcltk R package or build package documentation from sources.

Note: the use of X11 (including tcltk) requires XQuartz to be installed since it is no longer part of OS X. Always re-install XQuartz when upgrading your OS X to a new major version.

(If you are using legacy OS X 10.6 through 10.8 and are interested in R 3.2.0, please see the R for Mac development page.)


MD5-hash: bbb337c187d65354c09994a9bf115ec7
SHA1-hash: 7ed1348fdb4b8d3545a93cf72775a3a3ee745b59

(ca. 68MB)
R 3.1.3 binary for Mac OS X 10.6 (Snow Leopard) and higher, signed package. Contains R 3.1.3 framework, R.app GUI 1.65 in 64-bit for Intel Macs.
This package contains the R framework, 64-bit GUI (R.app) and Tcl/Tk 8.6.0 X11 libraries. GNU Fortran is NOT included (needed if you want to compile packages from sources that contain FORTRAN code) please see the tools directory.


MD5-hash: cc8f463f41caf3a10e3fae859c8b68ef
Sources for the R.app GUI 1.65 for Mac OS X. This file is only needed if you want to join the development of the GUI, it is not intended for regular users. Read the INSTALL file for further instructions.

NEWS (for Mac GUI) News features and changes in the R.app Mac GUI

The new R.app Cocoa GUI has been written by Simon Urbanek and Stefano Iacus with contributions from many developers and translators world-wide, see "About R" in the GUI.


tools Additional tools necessary for building R for Mac OS X:
Universal GNU Fortran compiler for Mac OS X (see R for Mac tools page for details).
contrib Binaries of package builds for Mac OS X 10.6 or higher (Snow Leopard build)
mavericks Binaries of package builds for Mac OS X 10.9 or higher (Mavericks build)
leopard Legacy binaries of universal (32-bit and 64-bit) package builds for Mac OS X 10.5 or higher (Leopard build)
universal Legacy binaries of universal (32-bit) package builds for Mac OS X 10.4 (Tiger build)
old Previously released R versions for Mac OS X

You may also want to read the R FAQ and R for Mac OS X FAQ. For discussion of Mac-related topics and reporting Mac-specific bugs, please use the R-SIG-Mac mailing list.

Information, tools and most recent daily builds of the R GUI, R-patched and R-devel can be found at http://R.research.att.com/. Please visit that page especially during beta stages to help us test the Mac OS X binaries before final release!

Package maintainers should visit CRAN check summary page to see whether their package is compatible with the current build of R for Mac OS X.

Binary libraries for dependencies not present here are available from http://R.research.att.com/libs and corresponding sources at http://R.research.att.com/src.

Last modified: 2015/04/18, by Simon Urbanek