RStudio IDE :: Cheatsheet

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Documents and Apps

Open Shiny, Quarto, R Markdown, knitr, Sweave, LaTeX, .Rd files and more in Source Pane.

Expand to read about the features in the RStudio Source Pane

Features within the RStudio Source Pane

Check spelling
Render output
Choose output format
Configure render options
Insert code chunk
Publish to server
Jump to previous chunk
Jump to next chunk
Run code
Show file outline
Visual Editor (reverse side)
Jump to section or chunk
Run this and all previous code chunks
Run this code chunk
Set knitr chunk options

Access markdown guide at Help > Markdown Quick Reference.

See below for more on Visual Editor.

Source Editor

Expand to read about the features in the Source Editor

Features within the Source Editor

Navigate backwards/forwards
Open in new window
Save
Find and replace
Compile as notebook
Run selected code
Re-run previous code
Source with or without Echo or as a Local Job
Show file outline
Multiple cursors/column selection with Alt + mouse drag.
Code diagnostics that appear in the margin. Hover over diagnostic symbols for details.
Syntax highlighting based on your file’s extension
Tab completion to finish function names, file paths, arguments, and more.
Multi-language code snippets to quickly use common blocks of code.
Jump to function in file
Change file type
Working Directory
Run scripts in separate sessions
Maximize, minimize panes
Ctrl/Cmd + ↑ to see history
R Markdown Build Log
Drag pane boundaries

Tab Panes

Expand to read about the features in the Tab Panes

Features within the Tab Panes

Import data with wizard
History of past commands to run/copy
Manage external databases
View memory usage
R tutorials
Load workspace
Save workspace
Clear R workspace
Search inside environment
Choose environment to display from list of parent environments
Display objects as list or grid
Displays saved objects by type with short description
View in data viewer
View function source code
Create folder
Path to displayed directory
Delete file
Rename file
More file options
Change directory
A File browser keyed to your working directory. Click on file or directory name to open.

Version Control

Turn on at Tools > Project Options > Git/SVN

A - Added
D - Deleted
M - Modified
R - Renamed
? - Untracked

Expand to read about the features in the version control view

Features within the version control view

Stage files
Commit staged files
Push/Pull to remote
View History
Current branch
Show file diff to view file differences

Package Development

Create a new package with File > New Project > New Directory > R Package

Enable roxygen documentation with Tools > Project Options > Build Tools

Roxygen guide at Help > Roxygen Quick Reference

See package information in the Build Tab

Expand to read about the features in the Build Tab

Features within the Build Tab

Install package and restart R
Run devtools::load_all() and reload changes
Run R CMD check
Clear output and rebuild
Customize package build options
Run package tests

RStudio opens plots in a dedicated Plots pane

Expand to read about the features in the Plots

Features within the Plots pane

Navigate recent plots
Open in window
Export plot
Delete plot
Delete all plots

GUI Package manager lists every installed package

Expand to read about the features in the Package manager

Features within the Package manager

Install Packages
Update Packages
Browse package site
Click to load package with library(). Unclick to detach package with detach().
Package version installed
Delete from library

RStudio opens documentation in a dedicated Help pane

Expand to read about the features in the Help pane

Features within the Help pane

Home page of helpful links
Search within help file
Search for help file

Viewer pane displays HTML content, such as Shiny apps, R Markdown reports, and interactive visualizations

Expand to read about the features in the Viewer pane

Features within the Viewer pane

Stop Shiny apps
Publish to shinyapps.io, Posit Connect, Posit Cloud, …
Refresh

View(<data>) opens spreadsheet like view of data set

Expand to read about the features in the data set spreadsheet

Features within the data set spreadsheet

Filter rows by value or value range
Sort by values
Search for value

Debug Mode

Use debug(), browser(), or a breakpoint and execute your code to open the debugger mode.

Expand to read about the features in the debug console

Features within the debug console

Launch debugger mode from origin of error
Open traceback to examine the functions that R called before the error occurred
Click next to line number to add/remove a breakpoint.
Highlighted line shows where execution has paused
Run commands in environment where execution has paused
Examine variables in executing environment
Select function in traceback to debug
Step through code one line at a time
Step into and out of functions to run
Resume execution
Quit debug mode

Keyboard Shortcuts

View the Keyboard Shortcut Quick Reference with Tools > Keyboard Shortcuts or Alt/Option + Shift + K

Search for keyboard shortcuts with Tools > Show Command Palette or Ctrl/Cmd + Shift + P.

Visual Editor

Expand to read about the features in the Visual Editor

Features within the Visual Editor

Check spelling
Render output
Choose output format
Choose output location
Insert code chunk
Jump to previous chunk
Jump to next chunk
Run selected lines
Publish to server
Show file outline
Block format
Back to Source Editor (front page)
Insert verbatim code
Clear formatting
Lists and block quotes
Links
Citations
Images
More formatting
Insert blocks, citations, equations, and special characters
Insert and edit tables
File outline
Add/Edit attributes
Jump to chunk or header
Set knitr chunk options
Run this and all previous code chunks
Run this code chunk

Posit Workbench

Why Posit Workbench?

Extend the open source server with a commercial license, support, and more:

open and run multiple R sessions at once
tune your resources to improve performance
administrative tools for managing user sessions
collaborate real-time with others in shared projects
switch easily from one version of R to a different version
integrate with your authentication, authorization, and audit practices
work in the RStudio IDE, JupyterLab, Jupyter Notebooks, or VS Code

Download a free 45 day evaluation.

Run Remote Jobs

Run R on remote clusters (Kubernetes/Slurm) via the Job Launcher

Expand to read about the features in the Job Launcher

Features within the Job Launcher

Launch a job
Monitor launcher jobs
Run launcher jobs remotely

CC BY SA Posit Software, PBC • info@posit.co • posit.co

Learn more at docs.posit.co/ide/user.

Updated: 2024-05.

RStudio IDE 2024.04.1+748.