Articles by Garrett.Grolemund

Shiny JavaScript Tutorials

May 6, 2016 | 0 Comments

We are happy to announce a new series of tutorials that will take your Shiny apps to the next level. In the tutorials, Herman Sontrop and Erwin Schuijtvlot of FRISS will teach you how to create custom JavaScript widgets and embed them into your Shiny apps. The JavaScript language is ...
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RStudio Essentials Webinar Series

December 1, 2015 | 0 Comments

The RStudio IDE is bursting with capabilities and features. Do you know how to use them all? Tomorrow, we begin an “RStudio Essentials” webinar series. This will be the perfect way to learn how to use the IDE to its fullest.  The series is broken into six sections always on ... [Read more...]

New R Markdown articles section, plus .Rmd to .docx super powers!

July 22, 2015 | 0 Comments

We’ve added a new articles section to the R Markdown development center at Here you can find expert advice and tips on how to use R Markdown efficiently. In one of the first articles, Richard Layton of explains the best tips for ...
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Article Spotlight: Persistent data storage in Shiny apps

July 15, 2015 | 0 Comments

The articles section on has lots of great advice for Shiny developers. A recent article by Dean Attali demonstrates how to save data from a Shiny app to persistent storage structures, like local files, servers, databases, and more. When you do this, your data remains after the ...
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Spark 1.4 for RStudio

July 14, 2015 | 0 Comments

Today’s guest post is written by Vincent Warmerdam of GoDataDriven and is reposted with Vincent’s permission from You can learn more about how to use SparkR with RStudio at the 2015 EARL Conference in Boston November 2-4, where Vincent will be speaking live. This document contains ... [Read more...]

New Shiny cheat sheet and video tutorial

June 22, 2015 | 0 Comments

We’ve added two new tools that make it even easier to learn Shiny. Video tutorial The How to Start with Shiny training video provides a new way to teach yourself Shiny. The video covers everything you need to know to build your own Shiny apps. You’ll learn: The ...
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SparkR preview by Vincent Warmerdam

May 28, 2015 | 0 Comments

SparkR preview in Rstudio Apache Spark is the hip new technology on the block. It allows you to write scripts in a functional style and the technology behind it will allow you to run iterative tasks very quickly on a cluster of machines. It’s benchmarked to be quicker than ... [Read more...]

Design patterns for action buttons

April 7, 2015 | 0 Comments

Action buttons can be tricky to use in Shiny because they work differently than other widgets. Widgets like sliders and select boxes maintain a value that is easy to use in your code. But the value of an action button is arbitrary. What should you do with it? Did you ...
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Data Visualization cheatsheet, plus Spanish translations

March 30, 2015 | 0 Comments

We’ve added a new cheatsheet to our collection. Data Visualization with ggplot2 describes how to build a plot with ggplot2 and the grammar of graphics. You will find helpful reminders of how to use: geoms stats scales coordinate systems facets position adjustments legends, and themes The cheatsheet also documents ... [Read more...]

Package Development cheatsheet, plus Chinese translations

March 12, 2015 | 0 Comments

We’ve added a new cheatsheet to our collection! Package Development with devtools will help you find the most useful functions for building packages in R. The cheatsheet will walk you through the steps of building a package from: Setting up the package structure Adding a DESCRIPTION file Writing code ... [Read more...]

Learn ggvis with RStudio and DataCamp

December 5, 2014 | 0 Comments

We’ve teamed up with DataCamp to make a self-paced online course that teaches ggvis, the newest data visualization package by Hadley Wickham and Winston Chang. The ggvis course pairs challenging exercises, interactive feedback, and “to the point” videos to let you learn ggvis in a guided way. In the ... [Read more...]

Introduction to Data Science with R video workshop

November 6, 2014 | 0 Comments

RStudio has teamed up with O’Reilly media to create a new way to learn R! The Introduction to Data Science with R video course is a comprehensive introduction to the R language. It’s ideal for non-programmers with no data science experience or for data scientists switching to R ... [Read more...]

Learn dplyr with RStudio and Datacamp

October 20, 2014 | 0 Comments

RStudio has teamed up with Datacamp to create a new, interactive way to learn dplyr. Dplyr is an R package that provides a fast, intuitive way to transform data sets with R. It introduces five functions, optimized in C++, that can handle ~90% of data manipulation tasks. These functions are lightning ...
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Data management with

September 29, 2014 | 0 Comments

Some of the most innovative Shiny apps share data across user sessions. Some apps share the results of one session to use in future sessions, others track user characteristics over time and make them available as part of the app. This level of sophistication creates tricky design choices when you ...
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Track how visitors use your Shiny app with Google Analytics

September 8, 2014 | 0 Comments

Want to see who is using your Shiny apps and what they are doing while they are there? Google Analytics is a popular way to track traffic to your website. With Google Analytics, you can see what sort of person comes to your website, where they arrive from, and what ... [Read more...]

The R Markdown Cheat Sheet

August 1, 2014 | 0 Comments

R Markdown is a framework for writing versatile, reproducible reports from R. With R Markdown, you write a simple plain text report and then render it to create polished output. You can: Transform your file into a pdf, html, or Microsoft Word document—even a slideshow—at the click of ... [Read more...]

Master interactive documents at the Shiny Dev Center

July 21, 2014 | 0 Comments

We’ve added a new section of articles to the Shiny Development Center. These articles explain how to create interactive documents with Shiny and R Markdown. You’ll learn how to Use R Markdown to create reproducible, dynamic reports. R Markdown offers one of the most efficient workflows for writing ... [Read more...]

R Day at Strata NYC

July 8, 2014 | 0 Comments

RStudio will teach the new essentials for doing data science in R at this year’s Strata NYC conference, Oct 15 2014. R Day at Strata is a full day of tutorials that will cover some of the most useful topics in R. You’ll learn how to manipulate and visualize data ... [Read more...]
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