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
Part 1 - Easy ways to collect different types of data from the web with R
Part 2 - Easy ways to collect different types of data from the web with R
Measure and report test coverage for R, C, C++ and Fortran code in R packages
RcppParallel provides a complete toolkit for creating safe, portable, high-performance parallel algorithms
How to profile and optimize code using profvis, a new package for exploring profiling data.
A new set of IDE features to help you and your team work better and faster together
A new extensibility point to the IDE: RStudio Add-ins
Managing - Part 1 (Projects in RStudio)
Managing - Part 2 (Github and RStudio)
Managing - Part 3 (Packrat and RStudio)
Programming - Part 1 (Writing code in RStudio)
Programming - Part 2 (Debugging code in RStudio)
Programming - Part 3 (Package writing in RStudio)