RStudio provides the premiere open source and enterprise-ready professional software for R, including RStudio Desktop, RStudio Server, RStudio Connect, Shiny Server, and shinyapps.io. The tidyverse, shiny, ggplot, ggvis, dplyr, knitr, R Markdown, and packrat are R packages from RStudio that every data scientist will want to enhance the value, reproducibility, and appearance of their work.

Date: May 1st, 2019
Time: 11:00AM

Webinar Description:

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.

Logistics:

Only 1,000 live attendees are allowed in the Webinar on a first come first serve basis. It is typical for many people who register to not attend (which is why registration does not guarantee access.) If for any reason you cannot make the webinar or cannot get in we will provide links to the recording as well as all materials within 48 hours.

Time Traveling with R - Webinar Registration:


Presenter:

Sean Lopp, Solution Engineer -  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.



Live on May 1st at 11:00AM EDT
There will be approximately 45 minutes of presentation followed by 15 Minutes of Q&A.