Tidy evaluation is a new framework for non-standard evaluation that will be used throughout Tidyverse. In this talk, I’ll introduce you to the problem that tidy eval solves, illustrated with examples of the various approaches used in R. I’ll then explain the most important components so that you can start writing your own functions instead of copying and pasting tidyr and dplyr code. I’ll finish with a small shiny app that shows how tidy eval is a natural fit for handling user input.
Hadley Wickham
Chief Scientist at Posit, PBC
In addition to serving as Chief Scientist at Posit, Hadley is 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 this 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”.
