PyCharm 2020.3 Help

R plugin support

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.

With the R plugin, you can also get native support for .R files. Such files are marked with the R file icon icon.

R plugin support in PyCharm includes:

  • Coding assistance:

  • 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:

  1. Download and install the R language.

  2. Install the R plugin for PyCharm.

  3. Create a new R project.

  4. Configure an R interpreter.

  5. Inspect the set of the installed R packages and install additional packages required for your project.

  6. Open or create an .R file.

  7. Run the R script.

  8. Analyze, export, and save the results.

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:

R plugin features

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.

Executing commands in the R console
Item Description
Execute the current statement Execute the current statement in the one-line console (Enter).
Console history Open the R Console History to preview the list of the executed commands.
Set current directory form editor 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 console Restart the console session.
Soft wrap Softly wraps lines in the R Console.
Add a new R Console Open a new R Console tab.
Help Help on executing R scripts.

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.

Renaming a console

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.

Using magrittr pipe from the R console

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.

Jobs console

Use the following icons of the Jobs toolbar:

Item Description
Add a job Add a new job.
Delete jobs Clear the list of jobs.
Rerun the job Rerun the job.


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.

R Graphics
Item Description
Previous graphics Next graphics Go to the previous or next graphics page.
Export Save the graphics in a .png file.
Copy graphics to clipboard Copy the graphics in the clipboard.
Zoom Zoom in the graphics.
Clear Close the currently selected page.
Clear All Close all graphics pages.
Settings Open the Graphics device settings dialog to set up the size of the image and its resolution.


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.

mtcars data in the R table view
Item Description
Export table Save the table in a .csv file.
Filter data

Filter data in the table columns. Hover over the button to preview the available filters and type the filter criteria under the column header.

Available filters
Pagination Organize table in pages. Toggle this button and specify the number of table rows to display on a page: 10, 15, 30, or 100.


With the Viewer tab of the R Tools window you can preview R graphics built with the JavaScript visualization libraries.

Rendering shared graphics in the R HTML window

R packages

Install, uninstall, and update R packages in the Packages tab of the R Tools window. It lists all the installed R packages.

The list of the installed R packages
Item Description
Install a package Install an R package from the list of the available packages.
Upgrade all 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.
Refresh the package list 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.

R file toolbar
Item Description
Execute the R file Execute the R file.
Debug the R file Debug the R file
Run job Run a job for an R file
Run selection Execute the selected code fragment
Debug selection Debug the selected code fragment
Documentation Open the Documentation tab.

Markdown toolbar

The toolbar appears the editor window when you open an .rmd file.

r markdown toolbar
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.
Render document 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.
Open document Opens the generated HTML document. Note that you should build the output first (Render document).
Run All Chunks Runs all the executable R chunks in the file. During the execution the icon changes its state to Stop execution.
Add a new R chunk Inserts a new chunk for R code below the current chunk.
Soft wrap Softly wraps lines in the editor.

Refer to the following topics for more information about R plugin support in PyCharm:

Last modified: 23 December 2020