Debugging techniques in RStudio


This is a companion discussion topic for the original entry at:

Debugging techniques in RStudio

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 Gadrow - QA and Support Lead, RStudio
Amanda is a software engineer with many years’ experience writing automated test frameworks for enterprise software. She started learning R when she joined RStudio in 2016, and has been basking in its glory ever since. She is a co-organizer of R-Ladies Columbus, and spends a lot of time analyzing customer data to improve the products and optimize support.


I quite liked this talk. I had no idea how great the debug tools were with R. Particularly for debugging shiny apps.


This topic has been closed.

If you have a query related to it or one of the replies, start a new topic and refer back with a link.