I have been writing a lot (too much) on the R topics dplyr/rlang/tidyeval lately. The reason is: major changes were recently announced. If you are going to use dplyr well and correctly going forward you may need to understand some of the new issues (if you don’t use dplyr you […]
For R dplyr users one of the promises of the new rlang/tidyeval system is an improved ability to program over dplyr itself. In particular to add new verbs that encapsulate previously compound steps into better self-documenting atomic steps. Let’s take a look at this capability.
While going over some of the discussion related to my last post I came up with a really neat way to use wrapr::let() and rlang/tidyeval together. Please read on to see the situation and example.