RStudio provides the premiere open source and enterprise-ready professional software for data scientists moving to R from less flexible, proprietary, and expensive analytic platforms. Shiny, 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: March 9th 2016
Time: 11:00 AM EST

Description:

The just-released version of RStudio introduces a new extensibility point to the IDE:  RStudio Add-ins. This powerful feature enables anyone who can write R code to customize RStudio for their own work. In this webinar, you'll learn how to write your own add-ins to boost your productivity, and how to share them with your own team or the community of R users around the world. Along the way we'll take a look at some of the new things people are already doing with add-ins, and see some of the other features in the new RStudio release.



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.

Our webinar host, GoToWebinar, Now Supports Linux but ONLY for VIDEO.  You must dial in by Telephone to the conference for access to the audio.

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.


Understanding Add-Ins Webinar Registration:


Presenter:

Jonathan McPherson Jonathan McPherson, Software Engineer - Jonathan is a software engineer at RStudio working on the IDE. In the past, he’s written Web applications at a nuclear site in the desert, exploratory information visualization systems at UC Davis, and features for flagship Office products and modern web applications at Microsoft.



Live on March 9th at 11am EDT
Approximately 45 minutes of presentation followed by 15 Minutes of Q&A.