BLACK LIVES MATTER
Join us and donate
The premier IDE for R
RStudio anywhere using a web browser
Put Shiny applications online
Shiny, R Markdown, Tidyverse and more
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
RStudio for the Enterprise
Easily share your insights
Control and distribute packages
RStudio
RStudio Server
Shiny Server
R Packages
RStudio Cloud
RStudio Public Package Manager
shinyapps.io
RStudio Team
RStudio Server Pro
RStudio Connect
RStudio Package Manager
rstudio::conf 2017 diving into htmlwidgets
Interactive network visualization with threejs and R
February 10, 2017
A mathematician well-known to the R and other open-source software communities, Bryan has worked on many applied math projects in computational finance, health care, genomics, and other fields over the years. Bryan often thinks about methods that help simplify computation of large-scale problems and is the coauthor with Taylor Arnold and Michael Kane of the CRC Press textbook “A Computational Approach to Statistical Learning.” Bryan is also an avid kayaker, amateur mycologist and forager. His R packages include irlba and threejs.