Working with names and expressions in your tidy eval code

January 25, 2019

In practice there are two main flavors of tidy eval functions: functions that select columns, such as dplyr::select(), and functions that operate on columns, such as dplyr::mutate(). While sharing a common tidy eval foundation, these functions have distinct properties, good practices, and available tooling. In this talk, you'll learn your way around selecting and doing tidy eval style.

### About the speaker

##### Lionel Henry

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.