Join us at rstudio::conf(2022) to sharpen your R skills. | July 25-28th in D.C.
Learn More
rstudio::conf(2022) | 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
RStudio Server
Shiny Server
R Packages
RStudio Academy
RStudio Cloud
RStudio Public Package Manager
shinyapps.io
RStudio Team
RStudio Workbench
RStudio Connect
RStudio Package Manager
Webinars
Debugging techniques in RStudio
June 22, 2018
When you are building R scripts and documents, it can be challenging to figure out what went wrong when the code behaves in unexpected ways. Fortunately, there are excellent tools built into R and RStudio that can make debugging easier. This talk will explore those tools, including: using base R functions for debugging, tracing techniques, setting breakpoints in RStudio, understanding debug mode, and troubleshooting more complicated sources like packages and Shiny applications.
Amanda has solved problems at small, Boston-based startups for many years. She has experience building high-quality software in various roles, including customer support, test strategy and automation, and product management. Amanda started learning R in 2016, and has been using it ever since to provide insights into RStudio’s internal data and to inspire product improvements.