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.
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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
Sep 02, 2020 Open the R Console History to preview the list of the executed commands. Open any file in the editor, then click this button. The location of the opened file will be set as the current directory for the current console tab. Restart the console session. Softly wraps lines in the R Console. Open a new R Console tab. Help on executing R scripts. R for macOS Developers 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. 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. Download the official µTorrent® (uTorrent) torrent client for Windows, Mac, Android or Linux- uTorrent is the #1 bittorrent download client on desktops worldwide.
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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:
| 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.
Last modified: 2020/10/10, by Simon Urbanek
With the R plugin installed in PyCharm, you can perform various statistical computing using R language and use coding assistance, visual debugging, smart running and preview tools, and other popular IDE features. PyCharm supports R 3.4 and later.
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With the R plugin, you can also get native support for .R files. Such files are marked with the icon.
R plugin support in PyCharm includes:
Coding assistance:
Error and syntax highlighting.
Code completion.
Code refactoring.
Ability to create line commentsCtrl+/.
Intention actions and quick fixes, including quick fixes for the missing import statements.
Auto-saving changes that you make in your files. Saving is triggered by various events, for example, closing a file or a project, or quitting the IDE.
Ability to preview data in the graphic and tabular forms.
Ability to run and debug R scripts with live variables view.
Quick start with the R plugin in PyCharm
To start working the R files in in PyCharm:
Download and install the R language.
Install the R plugin for PyCharm.
Create a new R project.
Configure an R interpreter.
Inspect the set of the installed R packages and install additional packages required for your project.
Open or create an .R file.
Run the R script.
Analyze, export, and save the results.
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Get familiar with the user interface
When you edit and execute R files with the R plugin in PyCharm, you should notice the following changes in PyCharm user interface:
The R Tools window contains tabs to analyze plots, preview R documentation, and configure R packages. With the R Console, you can monitor R code execution as well as preview variable values.
At any time you can open R Tools and R Console windows by selecting the corresponding option in the View | Tool Windows menu.
R Console
The R Console tab appears in the group of the PyCharm tool windows. It enables executing R commands line by line similar to the console provided with the R installation.
Code completion (Ctrl+Space) is available as you type commands in the R Console. You can preview the values of the declared variables and the execution results in the Variables area.
| Item | Description |
|---|---|
| Execute the current statement in the one-line console (Enter). | |
| Open the R Console History to preview the list of the executed commands. | |
| Open any file in the editor, then click this button. The location of the opened file will be set as the current directory for the current console tab. | |
| Restart the console session. | |
| Softly wraps lines in the R Console. | |
| Open a new R Console tab. | |
| Help on executing R scripts. |
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You can open several tabs in the R console for different tasks. To distinguish between the opened consoles, right-click any tab and enter a specific name.
In the R console, you can use call the magrittr pipe function, %>%. Press the Ctrl + Shift + M (for Windows and Linux) or Command + Shift + M (for macOS) to insert it.
The Jobs tab shows the execution of the jobs initiated for R files. You can preview the job status (succeeded or failed), duration of the execution, and the time you launched the job.
Use the following icons of the Jobs toolbar:
| Item | Description |
|---|---|
| Add a new job. | |
| Clear the list of jobs. | |
| Rerun the job. |
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Plots
In the Plots tab of the R Tools window, you can preview various graphs built with the R-specific data plotting libraries. The window displays all the graphs built within a single execution session that lasts until you close the R Console or explicitly terminate the process. The graphs are arranged one on a page.
| Item | Description |
|---|---|
| Go to the previous or next graphics page. | |
| Save the graphics in a .png file. | |
| Copy the graphics in the clipboard. | |
| Zoom in the graphics. | |
| Close the currently selected page. | |
| Close all graphics pages. | |
| Open the Graphics device settings dialog to set up the size of the image and its resolution. |
Tables
When you analyze tabular data in the Variables view, you can click the View Table link and preview the table in a separate tab the editor. To order values in a particular column, click its header.
| Item | Description |
|---|---|
| Save the table in a .csv file. | |
Filter data in the table columns. Hover over the button to preview the available filters and type the filter criteria under the column header. | |
| Organize table in pages. Toggle this button and specify the number of table rows to display on a page: 10, 15, 30, or 100. |
Viewer
With the Viewer tab of the R Tools window you can preview R graphics built with the JavaScript visualization libraries.
R packages
Install, uninstall, and update R packages in the Packages tab of the R Tools window. It lists all the installed R packages.
| Item | Description |
|---|---|
| Install an R package from the list of the available packages. | |
| Upgrade all packages to the latest available versions. This button is enabled if at least for one of the installed packages there is a newer version. | |
| Update the Latest version column by fetching the latest available versions for the installed packages. |
R files toolbar
When you open an R file in the editor, the following toolbar appears. Use it to run and debug R code.
| Item | Description |
|---|---|
| Execute the R file. | |
| Debug the R file | |
| Run a job for an R file | |
| Execute the selected code fragment | |
| Debug the selected code fragment | |
| Open the Documentation tab. |
Markdown toolbar
The toolbar appears the editor window when you open an .rmd file.
| Item | Description |
|---|---|
| Output directory | Select the directory for the generated HTML output. By default, the project directory is selected. To alter the location, select Custom from the list and specify any directory in your file system. |
| Renders the document in the HTML format. The filename corresponds to name of the R Markdown file. The location of the generated file is defined by the option selection in the Output Directory list. | |
| Opens the generated HTML document. Note that you should build the output first (). | |
| Runs all the executable R chunks in the file. During the execution the icon changes its state to . | |
| Inserts a new chunk for R code below the current chunk. | |
| Softly wraps lines in the editor. |
Refer to the following topics for more information about R plugin support in PyCharm: