Time_Travel_R

In this webinar, we'll cover strategies to create reproducible environments in R and the tools you need to implement them.

Time_Travel_R

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.

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About the speaker

Sean Lopp

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.