Recent Articles
Jim Hester
Introducing the vroom package, extremely fast data import in R. Read more ...
2019/05/07
Max Kuhn, Davis Vaughan, Alex Hayes
A look inside of the parsnip package Read more ...
2019/04/30
Hadley Wickham
2019/04/30
Mara Averick
Join us for a pre-useR! tidyverse developer day on July 8! Read more ...
2019/04/24
Hadley Wickham
Highlights include that context() is now optional, and new expect_invisible() and expect_mapequal() expectations. Read more ...
2019/04/23
Jenny Bryan
usethis 1.5.0 is now on CRAN. Read more ...
2019/04/09
Mara Averick
Which versions of R do tidyverse packages support? Read more ...
2019/04/01
Kirill Müller, Jenny Bryan
tibble 2.1.1 is on CRAN now! This article describes and motivates the latest minor release of the tibble package. Read more ...
2019/03/19
Mara Averick
stringr 1.4.0 is now on CRAN! Read more ...
2019/02/21
Mara Averick
haven 2.1.0 is now on CRAN! Read more ...
2019/02/19
Upcoming events
Atlanta, GA
Oct 14-15
You should take this workshop if you have experience programming in R and want to learn how to tackle larger scale problems. The class is taught by Hadley Wickham, Chief Scientist at RStudio.
London
Nov 18 - Nov 19
This two-day course will provide an overview of using R for supervised learning. The session will step through the process of building, visualizing, testing, and comparing models that are focused on prediction. The goal of the course is to provide a thorough workflow in R that can be used with many different regression or classification techniques. Case studies on real data will be used to illustrate the functionality and several different predictive models are illustrated. The class is taught by Max Kuhn.