R for Mac OS X

This directory contains binaries for a base distribution and packages to run on Mac OS X (release 10.2 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

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

R for Mac survey

Please consider participating in the R for Mac survey which takes just one line to paste in R but help us to decide how to support Mac binaries in the future. See here for details.

Universal R 2.7.2 for Mac OS X released on 2008/08/27

This binary distribution of R and the GUI supports both PowerPC and Intel based Macs. The corresponding binaries of R packages are now available for both architectures as well. Starting with R 2.3.1, CRAN binaries support Mac OS X 10.4 (Tiger) and higher only. It is, however, possible to compile binaries for earlied OS X versions from sources.

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-2.7.2.dmg
in the Terminal application to print the MD5 checksum for the R-2.7.2.dmg image.

Files:

R-2.7.2.dmg (latest version) MD5-hash: 564b801c7974c15a634fa7b0cbd951d1 (ca. 59MB)	Universal binary of R 2.7.2 for Mac OS X 10.4.4 and higher. This is a disk image containing the installer of R for Mac OS X 10.4.4 or higher. This image also contains Tcl/Tk libraries (for X11) and GNU Fortran 4.2.3 for both PowerPC and Intel Macs. This binary was tested on both Mac OS X 10.4 (Tiger) and Mac OS X 10.5 (Leopard). Depending on your browser, you may need to press the control key and click on this link to download the file. To install R simply double-click on icon of the multi-package "R.mpkg" contained in the `R-2.7.2.dmg` disk image.
R-2.7.2-mini.dmg MD5-hash: 232f171227d9165603a59aba128f0135 (ca. 26MB)	Universal binary of R 2.7.2 for Mac OS X, upgrade package without supplemental tools. This is a subset of the above image. Unless a full R 2.7.1 installer was used before, it is not possible to compile packages from Fortran sources when this smaller subset is used. Only binary installs will work correctly. Also Tcl/Tk will not work unless installed separately. The supplemental tools are also available in the tools directory.
Mac-GUI-1.25.tar.gz MD5-hash: c85edcce8dbdbca4b4485f3fb9fb8d55	Sources for the R.app GUI 1.25 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.

Subdirectories:

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).
universal	Binaries of universal package builds
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! The page also contains links to experimental builds as such 64-bit R for OS X.
Moreover, it is also a repository of experimental package builds, so you can often use install.packages("rpart",,"http://r.research.att.com/") in R-devel to test binary installs.

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.

Last modified: 2008/08/27, by Simon Urbanek