Join us at rstudio::conf(2022) to sharpen your R skills. | July 25-28th in D.C.
July 25-28th in D.C.
7/25 - 7/28 in D.C.
The premier IDE for R
RStudio anywhere using a web browser
Put Shiny applications online
Shiny, R Markdown, Tidyverse and more
Next level training for you and your team
Do, share, teach and learn data science
An easy way to access R packages
Let us host your Shiny applications
A single home for R & Python Data Science Teams
Scale, develop, and collaborate across R & Python
Easily share your insights
Control and distribute packages
RStudio Public Package Manager
RStudio Package Manager
Shiny Dev Con 2016
March 17, 2016
One of the biggest challenges when building Shiny apps is figuring out what’s wrong when your app misbehaves. Fortunately, R as a language and platform is exceptionally well suited to helping us deal with this challenge, and we’ve built on those strengths with RStudio. This talk will explore some of the debugging features of R and RStudio, as well as some under-documented debugging features of Shiny itself.
Jonathan leads the development of the RStudio IDE. In the past, he’s written Web applications at a nuclear site in the desert, exploratory information visualization systems at UC Davis, and features for Office products and web applications at Microsoft. In addition to software engineering, he loves reading books, playing the piano, and riding his bicycle.