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.

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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.

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Index

Nightly builds for macOS

R framework

Build	OS	Date	Status	Download
R-3.6-branch 3.6.3 Patched (2020/04/28, r79349)	el-capitan	Oct 19 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 (2020/10/19, r79349)	high-sierra	Oct 19 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) (2020/10/19, r79349)	high-sierra	Oct 19 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).

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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. 7894 for R 4.0.x	high-sierra-Debug.dmg	R-GUI-7894-4.0-high-sierra-Debug.dmg
Mac OS X GUI rev. 7894 for R 4.0.x	high-sierra-Release.dmg	R-GUI-7894-4.0-high-sierra-Release.dmg
Mac OS X GUI rev. 7894 for R 4.1.x	high-sierra-Debug.dmg	R-GUI-7894-4.1-high-sierra-Debug.dmg
Mac OS X GUI rev. 7894 for R 4.1.x	high-sierra-Release.dmg	R-GUI-7894-4.1-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.

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.

Download Remotes Package In R On Mac Os

• Install R and RStudio on windows

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In our previous article, we described what is R and why you should learn R. In this article, we’ll describe briefly how to install R and RStudio on Windows, MAC OSX and Linux platforms. RStudio is an integrated development environment for R that makes using R easier. It includes a console, code editor and tools for plotting.

To make things simple, we recommend to install first R and then RStudio.

1. R can be downloaded and installed on Windows, MAC OSX and Linux platforms from the Comprehensive R Archive Network (CRAN) webpage (http://cran.r-project.org/).

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2. After installing R software, install also the RStudio software available at: http://www.rstudio.com/products/RStudio/.

Install R for windows

1. Download the latest version of R, for Windows, from CRAN at : https://cran.r-project.org/bin/windows/base/

2. Double-click on the file you just downloaded to install R

3. Cick ok –> Next –> Next –> Next …. (no need to change default installation parameters)

Install Rtools for Windows

Open office 3.4 for mac download. Rtools contains tools to build your own packages on Windows, or to build R itself.

1. Download Rtools version corresponding to your R version at: https://cran.r-project.org/bin/windows/Rtools/. Use the latest release of Rtools with the latest release of R.

2. Double-click on the file you just downloaded to install Rtools (no need to change default installation parameters)

Install RStudio on Windows

• Download RStudio at : https://www.rstudio.com/products/rstudio/download/

1. Download the latest version of R, for MAC OSX, from CRAN at : https://cran.r-project.org/bin/macosx/

2. Double-click on the file you just downloaded to install R

3. Cick ok –> Next –> Next –> Next …. (no need to change default installation parameters)

4. Download and install the latest version of RStudio for MAC at: https://www.rstudio.com/products/rstudio/download/

1. R can be installed on Ubuntu, using the following Bash script:

sudo apt-get install r-base

2. RStudio for Linux is available at https://www.rstudio.com/products/rstudio/download/

To install the latest version of R for linux, read this: Installing R on Ubuntu

It is relatively simple to install R, but if you need further help you can try the following resources:

• Previous chapters
• Next chapters

This analysis has been performed using R software (ver. 3.2.3).

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