Run and debug R scripts

Run an R script

1. Click on the R file toolbar.

2. Analyze results in the R console and R Tools windows.

   The R console launches and displays the execution results sent to the standard output. PyCharm also opens the Plots tab of the R Tools window if the script renders any visual content.

   

   If the R script involves any JavaScript visualization libraries, the results will be rendered in the Viewer window.

3. Click to copy the generated plot in the clipboard. If needed, save the results. Click in the Plots tab to export the plotted content in a .png file.

   You can drag the lower-left corner of of the preview area to adjust the image size. Select Open after saving checkbox if you want to continue processing the image.

   

   Click in the table view to save the table in a .csv file.

View variables

• To preview not only a value of a particular variable but its size and the corresponding class click on the Variables toolbar to select required options:

  

• Click a View link to preview the array value in the popup and a View Table link to preview data as a table in the editor.

  

  You can filter out the data in the table, structure the table in pages, and define the amount of rows per each page.

• Click on the Variables toolbar to import CSV, TSV, or XLS file. Specify the data set and select the delimiter to preview the data in a tabular form:

  

  The data are added to the global variables and can be accessed from the global environment.

  

Run jobs

1. Open any R file in the editor and click on the R file toolbar.

2. Specify the way you want to process the results of the job execution. You can restrict copying it, copy to the global environment, or copy into a separate variable.

   

   The R script is executed and you can track its execution in the Jobs tab of the R console.

   

   Use the following icons of the Jobs toolbar:

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

3. Switch to the Variables tab of the R console to check the execution results.

   

   

Debug an R script

1. Click the gutter to create breakpoints.

2. Click on the R file toolbar.

   The debugging process stops at a breakpoint and you can preview the current results in the Variables window.

   

3. Control the script execution with the debugging toolbar:

   Item	Tooltip and Shortcut	Description
   	Debug	When the current application is stopped at a breakpoint, click this button to resume execution. When an application is running, this button toggles to .
   	Pause Program	Click this button to pause program execution.
   	Stop	Click this button to terminate the current process.
   	Step Over F8	Click this button to execute the program until the next line in the current method or file, skipping the methods referenced at the current execution point (if any). If the current line is the last one in the method, execution steps to the line executed right after this method.
   	Step Into	Click this button to have the debugger step into the method called at the current execution point.
   	Step Out	Click this button to have the debugger step out of the current method, to the line executed right after it.
   	Run to cursor	Click this button to resume program execution and pause until the execution point reaches the line at the current cursor location in the editor. No breakpoint is required. Actually, there is a temporary breakpoint set for the current line at the caret, which is removed once program execution is paused. Thus, if the caret is positioned at the line which has already been executed, the program will be just resumed for further execution, because there is no way to roll back to previous breakpoints. This action is especially useful when you have stepped deep into the methods sequence and need to step out of several methods at once. If there are breakpoints set for the lines that should be executed before bringing you to the specified line, the debugger will pause at the first encountered breakpoint. Use this action when you need a kind of a temporary breakpoint at a specific line, where program execution should not be interrupted.
   	View Breakpoints	Click this button to open the Breakpoints dialog where you can configure R breakpoints behavior.
   	Mute Breakpoints	Use this button to toggle breakpoints status. When the button is pressed in the toolbar of the Debug tool window, all the breakpoints in a project are muted, and their icons become grey: . You can temporarily mute all the breakpoints in a project to execute the program without stopping at breakpoints.
   	Evaluate Expression	Click this button to open the Evaluate Expression dialog.

Execute code with run/debug configurations

With run/debug configurations, you can define the way PyCharm executes your R code.

1. Do one of the following:

   • From the main menu, choose Run | Edit Configurations.

   • In the main toolbar, select Edit Configurations from the run/debug configurations list.

     

   • Press Alt+Shift+F10 and select the Edit Configurations.

2. In the Run/Debug Configurations dialog, click + on the window toolbar and select the R configuration from the list of the available run/debug configurations.

   

3. Specify the location of the script and its working directory. You can also define the command-line arguments of the R script to be executed and options of the R interpreter. The list of the environmental variables contains several variables that are delimited with semicolons. To fill in the list, click the browse button and specify the desired set of environment variables in the Environment Variables dialog.

   If you want to execute any task before the R script, click + nearby the Before launch field and select a task. For example, you can request for opening a browser before executing your Shiny code.

   When done, click Ok to save the configuration. Now, you can click to run it.

You can create a temporary run/debug configuration for a script and later add more parameter to it. Open an R file in the editor, right-click any place in the editor, and press Alt+Shift+F10.

PyCharm creates a temporary configuration, so that you can edit or run it.

Temporary configurations appear in the list of the created configurations. At any time you can modify a temporary configuraion and save it (so it becomes permanent).