Master the tidyverse

2017-08-16 Roger Oberg
If you’ve read the book “R for Data Science” or plan to, now you can dive deeper with co-author and RStudio Master Instructor Garrett Grolemund, winner of the Excellence in CE Award at JSM 2017! This two day workshop provides a comprehensive overview of what is now called the Tidyverse, a core set of R packages that are essential to Data Science. You will visualize, transform, and model data in R and work with date-times, character strings, and untidy data formats. Read more →

Building tidy tools workshop

2017-08-10 Roger Oberg
Have you embraced the tidyverse? Do you now want to expand it to meet your needs? Then this is a NEW two-day hands on workshop designed for you! The goal of this workshop is to take you from someone who uses tidyverse functions to someone who can extend the tidyverse by: Writing expressive code using advanced functional programming techniques Designs consistent APIs using analogies to existing tools Uses the S3 object system to make user friendly values Can bundle functions with documentation and tests into a package to share with others. Read more →

Registration open for rstudio::conf 2018!

2017-07-12 Roger Oberg
RStudio is very excited to announce that rstudio::conf 2018 is open for registration! rstudio::conf, the conference on all things R and RStudio, will take place February 2 and 3, 2018 in San Diego, California, preceded by Training Days on January 31 and February 1. This year’s conference will feature keynotes from Di Cook, Monash University Professor and Iowa State University Emeritus Faculty; and J.J. Allaire, RStudio Founder, CEO & Principal Developer, along with talks from Shiny creator Joe Cheng and (no-introduction-necessary) Hadley Wickham. Read more →

Introducing learnr

2017-07-11 Garrett Grolemund
We’re pleased to introduce the learnr package, now available on CRAN. The learnr package makes it easy to turn any R Markdown document into an interactive tutorial. Tutorials consist of content along with interactive components for checking and reinforcing understanding. Tutorials can include any or all of the following: Narrative, figures, illustrations, and equations. Code exercises (R code chunks that users can edit and execute directly). Multiple choice quizzes. Read more →