tidyverse/dplyr v1.0.3

dplyr 1.0.3

on GitHub

summarise() no longer informs when the result is ungrouped (#5633).

group_by(.drop = FALSE) preserves ordered factors (@brianrice2, #5545).

count() and tally() are now generic.

Removed default fallbacks to lazyeval methods; this will yield better error messages when
you call a dplyr function with the wrong input, and is part of our long term
plan to remove the deprecated lazyeval interface.

inner_join() gains a keep parameter for consistency with the other
mutating joins (@patrickbarks, #5581).

Improved performance with many columns, with a dynamic data mask using active
bindings and lazy chops (#5017).

mutate() and friends preserves row names in data frames once more (#5418).

group_by() uses the ungrouped data for the implicit mutate step (#5598).
You might have to define an ungroup() method for custom classes.
For example, see hadley/cubelyr#3.

relocate() can rename columns it relocates (#5569).

distinct() and group_by() have better error messages when the mutate step fails (#5060).

Clarify that between() is not vectorised (#5493).

Fixed across() issue where data frame columns would could not be referred to
with all_of() in the nested case (mutate() within mutate()) (#5498).

across() handles data frames with 0 columns (#5523).

mutate() always keeps grouping variables, unconditional to .keep= (#5582).

dplyr now depends on R 3.3.0