R & RStudio Setup
Manually install (Recommended if you don't care about the old packages) The first method is to. Thank you for downloading R-Studio for Mac from our software library. The download is provided as is, with no modifications or changes made on our side. The download was scanned for viruses by our system. We also recommend you check the files before installation. The download version of R-Studio for Mac is 6.5.5943. 10,562 downloads Updated: October 12, 2020 GPL. Review Free Download specifications 100% FREE report malware. You’re savvy enough to be able to download and install everything on your own, but the next pages go over what to do if you have a Mac. If you have Windows, check out the other document located right next to this one. You should see something that looks like the partial screenshot below. If you have El Capitan or higher click on R-3.5.1.pkg.
In this tutorial, you will download and install R
& RStudio
on your computer. The R
& RStudio
installation instructions below were adapted from Software Carpentry.
Learning Objectives
At the end of this activity, you will:
- Be able to download and install
R
andRstudio
on your laptop.
Windows
- Run the
.exe
file that was downloaded in the step above. - Under Installers select RStudio current version ## - Windows XP/Vista/7/8/10.
- Double click the file to install it.
Once R
and RStudio
are installed, open RStudio
to make sure that you don’t get any error messages.
Mac OS X
- Go to CRAN and click on Download R for (Mac) OS X.
- Select the
.pkg
file for the version of OS X that you have and the file will download. - Double click on the file that was downloaded and
R
will install. - Go to the RStudio Download page.
- Under Installers select RStudio current version ## - Mac OS X 10.6+ (64-bit) to download it.
- Once it’s downloaded, double click the file to install it.
Once R
and RStudio
are installed, open RStudio
to make sure it works and you don’t get any error messages.
Linux
R
is available through most Linux
package managers. You can download the binary files for your distribution from CRAN. Or you can use your package manager (e.g. for Debian/Ubuntu run sudo apt-get install r-base
and for Fedora run sudo yum install R
).
- To install
RStudio
, go to the RStudio Download page. - Under Installers select the version for your distribution.
- Once it’s downloaded, double click the file to install it.
R-studio For Mac
Once R
and RStudio
are installed, open RStudio
to make sure that it works and there are no errors when you open it.
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.
Package binaries for R versions older than 3.2.0 are only available from the CRAN archive so users of such versions should adjust the CRAN mirror setting (https://cran-archive.r-project.org) accordingly.
R 4.0.3 'Bunny-Wunnies Freak Out' released on 2020/10/10
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
openssl sha1 R-4.0.3.pkg
in the Terminal application to print the SHA1 checksum for the R-4.0.3.pkg image. On Mac OS X 10.7 and later you can also validate the signature using
pkgutil --check-signature R-4.0.3.pkg
Latest release:
R-4.0.3.pkg (notarized and signed) SHA1-hash: 8402f586aef1fdb12c6e34c73b286f87318fb1be (ca. 85MB) | R 4.0.3 binary for macOS 10.13 (High Sierra) and higher, signed and notarized package. Contains R 4.0.3 framework, R.app GUI 1.73 in 64-bit for Intel Macs, Tcl/Tk 8.6.6 X11 libraries and Texinfo 6.7. The latter two components are optional and can be ommitted when choosing 'custom install', they are 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 macOS to a new major version. Important: this release uses Xcode 10.1 and GNU Fortran 8.2. If you wish to compile R packages from sources, you will need to download and GNU Fortran 8.2 - see the tools directory. |
NEWS (for Mac GUI) | News features and changes in the R.app Mac GUI |
Mac-GUI-1.73.tar.gz SHA1-hash: 7f4b1d050757ce78545bdeb9d178a69d13046aa1 | Sources for the R.app GUI 1.73 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. |
Note: Previous R versions for El Capitan can be found in the el-capitan/base directory.Binaries for legacy OS X systems: | |
R-3.6.3.nn.pkg (signed) SHA1-hash: c462c9b1f9b45d778f05b8d9aa25a9123b3557c4 (ca. 77MB) | R 3.6.3 binary for OS X 10.11 (El Capitan) and higher, signed package. Contains R 3.6.3 framework, R.app GUI 1.70 in 64-bit for Intel Macs, Tcl/Tk 8.6.6 X11 libraries and Texinfo 5.2. The latter two components are optional and can be ommitted when choosing 'custom install', they are only needed if you want to use the tcltk R package or build package documentation from sources. |
R-3.3.3.pkg MD5-hash: 893ba010f303e666e19f86e4800f1fbf SHA1-hash: 5ae71b000b15805f95f38c08c45972d51ce3d027 (ca. 71MB) | R 3.3.3 binary for Mac OS X 10.9 (Mavericks) and higher, signed package. Contains R 3.3.3 framework, R.app GUI 1.69 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. |
R-3.2.1-snowleopard.pkg MD5-hash: 58fe9d01314d9cb75ff80ccfb914fd65 SHA1-hash: be6e91db12bac22a324f0cb51c7efa9063ece0d0 (ca. 68MB) | R 3.2.1 legacy binary for Mac OS X 10.6 (Snow Leopard) - 10.8 (Mountain Lion), signed package. Contains R 3.2.1 framework, R.app GUI 1.66 in 64-bit for Intel Macs. This package contains the R framework, 64-bit GUI (R.app), Tcl/Tk 8.6.0 X11 libraries and Texinfop 5.2. GNU Fortran is NOT included (needed if you want to compile packages from sources that contain FORTRAN code) please see the tools directory. NOTE: the binary support for OS X before Mavericks is being phased out, we do not expect further releases! |
Subdirectories:
Download Updated R And R Studio For Mac Os
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). |
base | Binaries of R builds for macOS 10.13 or higher (High Sierra) |
contrib | Binaries of package builds for macOS 10.13 or higher (High Sierra) |
el-capitan | Binaries of package builds for OS X 10.11 or higher (El Capitan build) |
mavericks | Binaries of package builds for Mac OS X 10.9 or higher (Mavericks 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://mac.R-project.org/. Please visit that page especially during beta stages to help us test the Mac OS X binaries before final release!
R-studio Download
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://mac.R-project.org/libs and corresponding sources at http://mac.R-project.org/src.
R-studio Free Download
Last modified: 2020/10/10, by Simon Urbanek