Release dtplyr 1.1.0 · tidyverse/dtplyr

New features

All verbs now have (very basic) documentation pointing back to the
dplyr generic, and providing a (very rough) description of the translation
accompanied with a few examples.
Passing a data.table to a dplyr generic now converts it to a lazy_dt(),
making it a little easier to move between data.table and dplyr syntax.
dtplyr has been bought up to compatibility with dplyr 1.0.0. This includes
new translations for:
- across(), if_any(), if_all() (#154).
- count() (#159).
- relocate() (@smingerson, #162).
- rename_with() (#160)
- slice_min(), slice_max(), slice_head(), slice_tail(), and
  slice_sample() (#174).
And rename() and select() now support dplyr 1.0.0 tidyselect syntax
(apart from predicate functions which can't easily work on lazily evaluated
data tables).
We have begun the process of add translations for tidyr verbs beginning
with pivot_wider() (@markfairbanks, #189).

compute() now creates an intermediate assignment within the translation.
This will generally have little impact on performance but it allows you to
use intermediate variables to simplify complex translations.
case_when() is now translated to fcase() (#190).
cur_data() (.SD), cur_group() (.BY), cur_group_id() (.GRP),
and cur_group_rows() (.I`) are now tranlsated to their data.table
equivalents (#166).
filter() on grouped data nows use a much faster translation using on .I
rather than .SD (and requiring an intermediate assignment) (#176). Thanks
to suggestion from @myoung3 and @ColeMiller1.
Translation of individual expressions:
- x[[1]] is now translated correctly.
- Anonymous functions are now preserved (@smingerson, #155)
- Environment variables used in the i argument of [.data.table are
  now correctly inlined when not in the global environment (#164).
- T and F are correctly translated to TRUE and FALSE (#140).