This documents differences between standard dplyr verbs and their data.table instantiation.
# S3 method for dtplyr_step
group_by(.data, ..., add = FALSE, arrange = TRUE)A data.table
In group_by(), variables or computations to group by.
In ungroup(), variables to remove from the grouping.
When FALSE, the default, group_by() will
override existing groups. To add to the existing groups, use
.add = TRUE.
This argument was previously called add, but that prevented
creating a new grouping variable called add, and conflicts with
our naming conventions.
If TRUE, will automatically arrange the output of
subsequent grouped operations by group. If FALSE, output order will be
left unchanged. In the generated data.table code this switches between
using the keyby (TRUE) and by (FALSE) arguments.