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: Oct 3, 2018
Time: 11:00AM EDT

Webinar Description:

R’s package ecosystem is awesome, with more than 13K packages on CRAN and countless more on GitHub, Bioconductor, and hundreds of updates or additions each day. But, this ecosystem can be intimidating for organizations relying on R. Data scientists face challenges discovering packages, sharing code, and reproducing work. IT organizations struggle to manage change control while keeping users secure and compliant with InfoSec requirements. This webinar will introduce RStudio Package Manager, a new product to organize R packages across teams, departments, and organizations.


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.

Introduction to the RStudio Package Manager Webinar Registration:


Presenter:

Sean Lopp, Solutions 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.



Webinar Recordings:

We try to record every webinar we host and post all materials on our website.
http://www.rstudio.com/resources/webinars/

Slides & Code:

We've started a Github repository with all webinar materials. Speakers for this webinar and all future webinars will add their materials to the repository.
https://github.com/rstudio/webinars


Live on October 3rd, at 11:00AM EDT
There will be approximately 45 minutes of presentation followed by 15 Minutes of Q&A.