dtplyr 1.1.0

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).

Translation improvements

• 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).

Minor improvements and bug fixes

• Grouped filter, mutate, and slice no longer affect ordering of output (#178).

• as_tibble() gains a .name_repair argument (@markfairbanks).

• as.data.table() always calls [] so that the result will print (#146).

• print.lazy_dt() shows total rows, and grouping, if present.

• group_map() and group_walk() are now translated (#108).