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
Let us host your Shiny applications
The premier software bundle for data science teams
RStudio for the Enterprise
Connect data scientists with decision makers
Control and distribute packages
May 6, 2019
Do you find upgrading packages intimidating? Have you ever tried to reproduce old results, only to hit package errors? Are you worried about your code running in the future, or on someone else's computer? In this webinar, we'll cover strategies to create reproducible environments in R and the tools you need to implement them. DeLorean optional.
Sean has a degree in mathematics and statistics and worked as an analyst at the National Renewable Energy Lab before making the switch to customer success at RStudio. In his spare time he skis and mountain bikes and is a proud Colorado native.