The RStudio team recently rolled out new capabilities in RStudio, shiny, ggvis, dplyr, knitr, R Markdown, and packrat. The “Essential Tools for Data Science with R” free webinar series is the perfect place to learn more about the power of these R packages from the authors themselves.
Click to learn more and register for one or more webinar sessions. You must register for each separately. If you miss a live webinar or want to review them, recorded versions will be available to registrants within 30 days.
The Grammar and Graphics of Data Science Live! Wednesday, July 30 at 11am Eastern Time US Click to register
dplyr: a grammar of data manipulation – Hadley Wickham
ggvis: Interactive graphics in R - Winston Chang
Reproducible Reporting Live! Wednesday, August 13 at 11am Eastern Time US Click to register
The Next Generation of R Markdown – Jeff Allen
Knitr Ninja – Yihui Xie
Packrat – A Dependency Management System for R – J.J. Allaire & Kevin Ushey
Interactive Reporting Live! Wednesday, September 3 at 11am Eastern Time US Click to register
Embedding Shiny Apps in R Markdown documents – Garrett Grolemund
Shiny: R made interactive – Joe Cheng
In this series, we walk through lesser-known tips and tricks to help you work more effectively and efficiently in R Markdown. This first post focuses on working with R Markdown in the RStudio IDE.
Welcome to rstudio.com/blog! We are excited to announce updates to the RStudio blog and can’t wait to share what’s possible with great data science tools.
In an upcoming webinar on November 17th, Solita will showcase how they successfully combined the strengths of RStudio and Tableau at one of Sweden’s largest government agencies.