Hadley Wickham is the Chief Scientist at RStudio, a member of the R Foundation, and Adjunct Professor at Stanford University and the University of Auckland. He builds tools (both computational and cognitive) to make data science easier, faster, and more fun. You may be familiar with his packages for data science (the tidyverse: including ggplot2, dplyr, tidyr, purrr, and readr) and principled software development (roxygen2, testthat, devtools, pkgdown). Much of the material for the course is drawn from two of his existing books, Advanced R and R Packages, but the course also includes a lot of new material that will eventually become a book called “Tidy tools”.
July 27, 2022
We are very excited to announce that RStudio has a new name, Posit.
March 18, 2022
The deadline for talk submissions has been extended to March 28.
March 7, 2022
Learn about our exciting keynote speakers, conference program, workshops, and diversity scholarship program.
February 14, 2022
rstudio::conf(2022) is coming July 25-28.
October 4, 2021
pins 1.0.0 is now available on CRAN! The pins package publishes data, models, and other R objects, making it easy to share them across projects and with your colleagues. Pins can be versioned, making it straightforward to track changes, re-run analyses on historical data, and undo mistakes.
January 21, 2021
A talk about how the tidyverse has evolved since its creation (just five years ago!).
August 13, 2020
In this webinar, I'll introduce some of the major changes coming in testthat 3.0.0. The biggest new idea in testthat 3.0.0 is the idea of an edition.
April 17, 2020
A lot of the R community are involved in the response to the COVID-19 pandemic, and we want to help out where we can.
November 18, 2019
Allison Horst is RStudio's inaugural artist-in-residence!
September 6, 2019
January 25, 2019
vctrs is a new package that provides tools (cognitive and computational) to ensure that functions behave consistently with respect to inputs of varying length and type. The end goal of vctrs is...
September 14, 2018
June 22, 2017
dplyr provides a “grammar” of data transformation, making it easy and elegant to solve the most common data manipulation challenges.
February 10, 2017
February 7, 2017
April 14, 2016
Hadley Wickham presents and demonstrates how understanding git & github will give you two data science superpowers.
January 28, 2016
You can’t use R for data analysis unless you can get your data into R. Getting your data into R can be a major hassle, so in the last few months Hadley Wickham has been working hard to make it easier.