The premier IDE for R
RStudio anywhere using a web browser
Put Shiny applications online
Shiny, R Markdown, Tidyverse and more
Do, share, teach and learn data science
An easy way to access R packages
Let us host your Shiny applications
A single home for R & Python Data Science Teams
Scale, develop, and collaborate across R & Python
Easily share your insights
Control and distribute packages
RStudio Public Package Manager
RStudio Package Manager
Tidy evaluation is one of the major feature of the latest versions of dplyr and tidyr.
February 7, 2018
Tidy evaluation is one of the major feature of the latest versions of dplyr and tidyr. It enables Tidyverse users to write reusable functions and pipeline wrappers. In this webinar you will learn what are quoting functions, what challenges they pose for programming, and how tidy eval solves these with a flexible toolset (including quasiquotation with the noisy but very tidy !! operator).
I work in the r-lib and tidyverse teams at RStudio. I’m interested in developing low-level tools that bring out the expressivity of the R language.