Programsload461

How do I acquire R ?

R can be downloaded from one of many Comprehensive R Archive Network (CRAN) sites. The closest one to Vanderbilt is at UT Knoxville: - http://mirrors.nics.utk.edu/cran/ . From the UTK CRAN site homepage, click on the “Download R for [OS]” link that is appropriate for your operating system.

An alternative to downloading R and RStudio separately is to download Anaconda. Anaconda is a comprehensive data science platform that installs and manages not only R and RStudio, but also downloads and installs Python and Jupyter notebooks along with all of the commonly used packages that go along with these programs. So it does a lot in a single install, but it is also a bit intrusive and requires quite a bit of computing resources and drive space. So it may not be appropriate for installation on old computers. To install Anaconda go to this page.

Downloading and installing R

Update Rstudio Version Mac

On the CRAN Windows download page, click on the “base” link, which will take you to the download page for the most recent base R distribution. Then click on the “Download R X.X.X for Windows” link (where X.X.X is the version number). This will initiate the download of an executable installation file to the default download directory for your browser. After the download completes, click (or double-click) on the installer file to initiate the install. Click the Next button repeatedly to accept all of the defaults. After completing the install, you should see an R shortcut on your desktop. Double-click on the icon to launch R. You should see the R Console with a “>” prompt at the bottom. Enter:

and you should see

Can I use RStudio IDE on macOS Sierra? Amanda Gadrow September 04, 2020 08:18. Yes, but after you have updated your machine to macOS Sierra, there are a few things you will need to check. Ensure that command line tools are installed. Click on the one that says RStudio 1.1.463 - Mac OS X 10.6+ (64-bit). It should download something called RStudio-1.1.463.dmg. Click on it when it looks like this: It will open a window that looks like the one below. To install it, drag the RStudio icon to the left into the Applications folder.

Rstudio Server Download

RStudio is currently only available for Mac OS X 10.6 or higher. Click on RStudio for Mac OS X 10.6+. Click on the appropriate file corresponding to Mac OS X. This will again bring up the save file dialog. Click on the “Download R for (Mac) OS X” link at the top of the page. Click on the file containing the latest version of R under “Files.” Save the.pkg file, double-click it to open, and follow the installation instructions. Now that R is installed, you need to download and install RStudio. To Install RStudio. Go to rstudio.com.

as the answer. Click the X in the upper right of the window to quit the console, and don’t save.

Downloading and installing RStudio

Go to https://www.rstudio.com/products/rstudio/download/ and click on the installer link for Windows. This will initiate the download of an executable installation file to the default download directory for your browser. After the download completes, click (or double-click) on the installer file to initiate the install. Click the Next button repeatedly to accept all of the defaults. By default, there is no shortcut on the desktop - if you want one there, click on the Start menu, find the RStudio icon in the list of programs and drag it to the desktop. Run RStudio. In the left side of the window, you should see a Console pane similar to what you saw before. Try adding 2+2 as you did above and you should get the same result.

Downloading and installing R

The main CRAN download page for Mac contains the installers for OS X 10.6 and above. For older operating systems, read the page and rummage around until you find what you need. On the main download page, click on the link for the correct binary for your OS version. When the download is complete, click on the installer file to launch the install. Click the Next button repeatedly to accept all of the defaults, and Agree to the terms. Click on Install as prompted and enter your password as necessary. When complete, close the installation window.

In Finder, click on Applications. You should see R listed. Double click on it to launch R. You should see the R Console with a “>” prompt at the bottom. Enter:

and you should see

as the answer. Click the red dot in the upper left of the window to quit the console, and don’t save.

Downloading and installing RStudio

Go to https://www.rstudio.com/products/rstudio/download/ and scroll to the bottom of the page. Click on the appropriate installer link for your computer’s operating system. This will initiate the download of an executable installation file to the default download directory for your browser. After the download completes, click on the .dmg file to open it. Drag the RStudio icon into the Applications folder and close the window. You should now be able to find RStudio in your Applications folder. Run RStudio. Allow the application to run. In the left side of the window, you should see a Console pane similar to what you saw before. Try adding 2+2 as you did above and you should get the same result.

If you are a lover of Jupyter notebooks, you can use them to document R scripts. However, since most people use RStudio, which supports R Markdown, that’s probably a more common approach to literate programming with R.

See these instructions to set up an R environment for Jupyter notebooks in Anaconda.

Continue to Navigating around in RStudio

Revised 2019-11-05

Questions? Contact us

License: CC BY 4.0.
Credit: 'Vanderbilt Libraries Digital Scholarship and Communications - www.library.vanderbilt.edu'

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!

Rstudio Mac 10.11

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:

R Studio Download Mac Os X 10.10

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!

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 Download Mac Os X

Last modified: 2020/10/10, by Simon Urbanek