RStudio Cheat Sheets

The cheat sheets below make it easy to learn about and use some of our favorite packages. From time to time, we will add new cheat sheets to the gallery. If you’d like us to drop you an email when we do, let us know by clicking the button to the right.

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Sparklyr Cheat Sheet

Sparklyr provides an R interface to Apache Spark, a fast and general engine for processing Big Data.  With sparklyr, you can connect to a local or remote Spark session, use dplyr to manipulate data in Spark, and run Spark’s built in machine learning algorithms. Updated 01/17.


R Markdown Cheat Sheet

R Markdown is an authoring format that makes it easy to write reusable reports with R. You combine your R code with narration written in markdown (an easy-to-write plain text format) and then export the results as an html, pdf, or Word file. You can even use R Markdown to build interactive documents and slideshows. Updated 02/16. (Old Version).


RStudio IDE Cheat Sheet

The RStudio IDE is the most popular integrated development environment for R. Do you want to write, run, and debug your own R code? Work collaboratively on R projects with version control? Build packages or create documents and apps? No matter what you do with R, the RStudio IDE can help you do it faster. This cheat sheet will guide you through the most useful features of the IDE, as well as the long list of keyboard shortcuts built into the RStudio IDE. Updated 01/16.


Shiny Cheat Sheet

If you’re ready to build interactive web apps with R, say hello to Shiny. This cheat sheet provides a tour of the Shiny package and explains how to build and customize an interactive app. Be sure to follow the links on the sheet for even more information. Updated 01/16.


Data Visualization Cheat Sheet

The ggplot2 package lets you make beautiful and customizable plots of your data. It implements the grammar of graphics, an easy to use system for building plots. See for detailed examples. Updated 11/16.


Package Development Cheat Sheet

The devtools package makes it easy to build your own R packages, and packages make it easy to share your R code. Supplement this cheat sheet with, Hadley’s book on package development. Updated 01/15.


Data Wrangling Cheat Sheet

The dplyr and tidyr packages are built to save you time when you wrangle data. Together, they provide a complete system for reshaping, transforming, and combining data sets. Updated 01/15.


R Markdown Reference Guide

R Markdown marries together three pieces of software: markdown, knitr, and pandoc. This five page guide lists each of the options from markdown, knitr, and pandoc that you can use to customize your R Markdown documents. Updated 10/14.


Contributed Cheatsheets

These cheatsheets have been generously contributed by R Users.

Base R

Vectors, Matrices, Lists, Data Frames, Functions and more in base R by Mhairi McNeill. Updated 03/15.


Advanced R

Environments, data Structures, Functions, Subsetting and more by Arianne Colton and Sean Chen. Updated 02/16.


Regular Expressions

Basics of regular expressions and pattern matching in R by Ian Kopacka. Updated 09/16.


How big is your graph? (base R graphics)

Graph sizing with base R by  by Stephen Simon. Updated 10/16.



Dutch Translations – Nederlandse Vertaling

Gern Huijberts has provided Dutch translations of the Data Wrangling, Package Development, Data Visualization, and R Markdown cheatsheets.

French Translations – Traductions Françaises

Vincent Guyader and Diane Beldame of ThinkR have provided French translations of the RStudio IDE,  Data Visualization, Data Wrangling, and Shiny cheatsheets.

German Translations – Deutsch Übersetzungen

Lucia Gjeltema of Research Triangle Analysts has provided a German translation of the Data Visualization, Data WranglingPackage Development, R Markdown and Shiny cheatsheets.

Italian Translations – Traduzioni Italiane

Angelo Salatino of Knowledge Media Institute has provided Italian translations of the Package Development, R Markdown, and RStudio IDE cheatsheets.

Japanese Translations – 日本語翻訳

Korean Translations – 한국어 로 번역

Victor Lee of xwMOOC has provided a Korean translation of the Package Development and R Markdown cheatsheets.

Portuguese Translations – tradução para português

Augusto Queiroz de Macedo has provided Portuguese translations of the Data Visualization, Data Wrangling, and RStudio IDE cheatsheets.

Spanish Translations – Traducciones en español

Vietnamese Translations – Bản dịch tiếng Việt

Anh Hoang Duc and Duc Pham of have provided Vietnamese translations of the Data Visualization, Data Wrangling, R Markdown, Shiny, Package Development, and Base R cheatsheets.

Want to contribute?

We accept high quality cheatsheets and translations that are licenced under the creative commons license. Details and templates are available at How to Contribute a Cheatsheet.