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Development Tools and Libraries

CRAN R 4.0.0 builds and higher no longer use any custom compilers and thus this directory is no longer relevant. We now use Apple Xcode 10.1 and GNU Fortran 8.2 from https://github.com/fxcoudert/gfortran-for-macOS/releases.For more details on compiling R, please see alsohttps://mac.R-project.org/tools/

Previous tools

The following is provided as support of older versions of R. If you use R 4.0.0 or higher, please disregard and read the top section.

R 3.5.0-3.6.3 El Capitan binaries and higer were using more recent Clang compiler and GNU Fortran 6.1 to provide OpenMP parallelization support and C++17 standard features. If you want to compile R packages from sources, please download GNU Fortran binary from the official GNU Fortran Binaries page - in particular OS X 10.11 gfortran 6.1. Alternatively, we are providing a copy here as well as Clang binaries for OS X 10.11 and higher - see below for the download links.

Files:

clang-8.0.0.pkg (OS X 10.11+, signed, 64-bit)
MD5-hash: 664582b0722cb59802cb762b2ad7548b
(ca. 482Mb)		 Clang 8.0.0 for OS X 10.11 and higher, release build for x86_64, signed package, installs into /usr/local/clang8. To be used with El Capitan builds of R 3.7.0 and higher. It is an installer version of the official LLVM released binaries only modified to use the path above.
clang-7.0.0.pkg (OS X 10.11+, signed, 64-bit)
MD5-hash: cef3fd2a5c165d00f9941f64ea4024f7
(ca. 463Mb)		 Clang 7.0.0 for OS X 10.11 and higher, release build for x86_64, signed package, installs into /usr/local/clang7. To be used with El Capitan builds of R 3.6.x. It is an installer version of the official LLVM released binaries only modified to use the path above.
clang-6.0.0.pkg (OS X 10.11+, signed, 64-bit)
MD5-hash: c29700c4e7b2914073ef7e741eb105bc
(ca. 418Mb)		 Clang 6.0.0 for OS X 10.11 and higher, static build for x86_64, signed package, installs into /usr/local/clang6. To be used with El Capitan builds of R 3.5.x.
gfortran-6.1.pkg (OS X 10.11+, signed, 64-bit)
MD5-hash: 201026216e8b373d9cd2efc0cc474bb8
(ca. 73Mb)		 GNU Fortran 6.1 for OS X 10.11 and higher - a copy from GFortranBinaries pages for x86_64, signed package, installs into /usr/local/gfortran (identical content, re-packaged to a flat Installer package and signed). To be used with El Capitan builds of R.
The following binaries are obsolete and only provided for historical reasons
gfortran-4.2.3.pkg (OS X 10.5+, signed, 64-bit driver)
MD5-hash: 8783f803038abe6487a362ad5b8995ea
(ca. 27MB)
gfortran-4.2.3.dmg (OS X 10.4, 32-bit driver)
MD5-hash: 9551fc46f55537dd1db581154daf27ef
(ca. 27MB)		Universal GNU Fortran 4.2.3 for Mac OS X 10.4 and higher. It is necessary in order to build R packages from sources that contain Fortran code.

Unlike many other builds, this is a fully universal build of GNU Fortran that uses Apple's driver and supports all target architectures (i386, ppc, x86_64 and ppc64). As such it fully supports compilation into fat files like gfortran -arch i386 -arch ppc -arch x86_64 -arch ppc64 t.f -o ton both Intel Macs and PowerPC Macs (32- and 64-bit). Dependent libraries are fat as well, avoiding problems known from other Fortran builds (such as those from HPC). It installs in /usr/local and comes with an uninstall-script.

tcltk-8.5.5-x11.pkg (OS X 10.5+, signed)
MD5-hash: e7c406d91762ffdc4539b23c5b5a3ab4
(ca. 9MB)
tcltk-8.5.5-x11.dmg (OS X 10.4)
MD5-hash: c32dda1b9f2c2776a02cec4e03befc76
(ca. 9MB)
Universal build of Tcl/Tk 8.5.5 for X11 (32-bit and 64-bit). This library is necessary in order to use the tcltk R package (for R 2.8.0 - 2.15.3 only!). It installs in /usr/local. Requires Mac OS X 10.4 (Tiger) or higher for 32-bit R and Mac OS X 10.5 (Leopard) or higher for 64-bit R.

NOTE: R 3.0.0 and higher comes bundled with Tck/Tk 8.6.0 so you do not need this package

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For other (optional) 3rd party libraries for development see http://mac.R-project.org/libs/. The devpack has been superseded by those libraries. For R you may want to download and install libpng, libjpeg, readline, freetype, fontconfig, pixman and cairo.

Source code for all 3rd party libraries can be found at http://mac.R-project.org/src/

The dependency libraries used by the CRAN macOS build system are now managed by build recipes. Package authors wishing to add static dependendies can create a pull request to add a dependency.

Subdirectories:

oldPrevious versions of tools as supplied with legacy R versions.

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://mac.R-project.org/. 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.

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Mac Os Mojave

Link to corresponding sources: http://mac.R-project.org/src/

Last modified: 2020/04/24, by Simon Urbanek

R is an incredibly powerful open source program for statistics and graphics. It can run on pretty much any computer and has a very active and friendly support community online. Graphics created by R are extremely extensible and are used in high level publications like the New York Times (as explained by this former NYT infographic designer).

RStudio is an integrated development environment (IDE) for R. It’s basically a nice front-end for R, giving you a console, a scripting window, a graphics window, and an R workspace, among other options.

R Commander is a basic graphical user interface (GUI) for R. It provides a series of menus that allow you to run lots of statistic tests and create graphics without typing a line of code. More advanced features of R aren’t accessible through R Commander, but you can use it for the majority of your statistics. (Lots of people (like me) use R Commander as a crutch for a few months before they get the hang of the R language. As intimidating as it might be to constantly type stuff at the console, it really is a lot faster.)

However, as is the case with lots of free and open source software, it can be a little tricky to install all of these different programs and get them to work nicely together. The simple instructions below explain how to get everything working right.

Install R, RStudio, and R Commander in Windows

  1. Download R from http://cran.us.r-project.org/ (click on “Download R for Windows” > “base” > “Download R 2.x.x for Windows”)
  2. Install R. Leave all default settings in the installation options.
  3. Download RStudio from http://rstudio.org/download/desktop and install it. Leave all default settings in the installation options.
  4. Open RStudio.
  5. Go to the “Packages” tab and click on “Install Packages”. The first time you’ll do this you’ll be prompted to choose a CRAN mirror. R will download all necessary files from the server you select here. Choose the location closest to you (probably “USA CA 1” or “USA CA 2”, which are housed at UC Berkeley and UCLA, respectively).
  6. Start typing “Rcmdr” until you see it appear in a list. Select the first option (or finish typing Rcmdr), ensure that “Install dependencies” is checked, and click “Install”.
  7. Wait while all the parts of the R Commander package are installed.
  8. If you get permission errors while installing packages, close R Studio and reopen it with administrator privileges.

Install R, RStudio, and R Commander in Mac OS X

  1. Download R from http://cran.us.r-project.org/ (click on “Download R for Mac OS X” > “R-2.x.x.pkg (latest version)')
  2. Install R.
  3. Download RStudio from http://rstudio.org/download/desktop.
  4. Install RStudio by dragging the application icon to your Applications folder.
  5. Download Tcl/Tk from http://cran.r-project.org/bin/macosx/tools/ (click on tcltk-8.x.x-x11.dmg; OS X needs this to run R Commander.)
  6. Install Tcl/Tk.
  7. Go to your Applications folder and find a folder named Utilities. Verify that you have a program named “X11” there. If not, go to http://xquartz.macosforge.org/ and download and install the latest version of XQuartz.
  8. Open RStudio.
  9. Go to the “Packages” tab and click on “Install Packages”. The first time you’ll do this you’ll be prompted to choose a CRAN mirror. R will download all necessary files from the server you select here. Choose the location closest to you (probably “USA CA 1” or “USA CA 2”, which are housed at UC Berkeley and UCLA, respectively).
  10. Start typing “Rcmdr” until you see it appear in a list. Select the first option (or finish typing Rcmdr), ensure that “Install dependencies” is checked, and click “Install”.
  11. Wait while all the parts of the R Commander package are installed.

Open R Commander in Windows and OS X

Mac

Once you’ve installed R Commander, you won’t have to go through all those steps again! Running R Commander from this point on is simple—follow the instructions below.

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If you decide to stop using R Commander and just stick with R, all you ever need to do is open RStudio—even simpler!

  1. Open R Studio
  2. In the console, type windows() if using Windows, quartz() if using Mac OS X. (This tells R Commander to output all graphs to a new window). If you don’t do this, R Commander graphs will be output to the graphics window in RStudio.
  3. Go to the “Packages” tab, scroll down to “Rcmdr,” and check the box to load the plugin. (Alternatively, type library(Rcmdr) at the console.)
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