git
GitHub
NULL
[[]]
$
@
slot()
dplyr::case_when
try()
suppressWarnings()
suppressMessages()
purrr
map_*()
map2_*()
walk()
imap()
pmap()
reduce()
map_df*()
pluck()
flatten()
NextMethod()
$print()
lubridate::period()
lobstr::ast():
recurse_call()
list2()
do.call
In this chapter we dove into non-standard evaluation with quasiquotation
Quasiquotation is useful on its own but in the next chapter we will look at the quosures and data masks to unleash the full power of tidy evaluation!
quosures
data masks