v0.11.2

This is a minor release with mostly internal improvements.

Bug fixes

• Empty dt() works with no warning, #824

v0.11.1

Functionality improvements

• pmap() now preserves names (#809)
• Package developers no longer need to define .datatable.aware = TRUE when
  using tidytable in their package (#269)

Bug fixes

• Attempting to rename columns using group_by() now leads to an error (#799)
• pmap() family works with data frame inputs (#803)
• filter() properly handles when comparing to NA when .by is used (#812)
• paged.print has been removed since it was breaking console printing (#810)

v0.10.1

New functions

• reframe()

Bug fixes

• case_when(): .default is used when calculating a common ptype (#751)
• pivot_wider(): Works correctly with dates (#759)

Functions with notable speed improvements

• case_match(): When comparing input vector to a length 1 literal

v0.10.0

Deprecations

• verb.() functions are now deprecated (e.g. mutate.()). Users should now use
  the verb() versions of functions.

New functions

• tribble()

Functionality improvements

• nest(): Gains .by and .key args
• tidytable(): Auto-names unnamed inputs
• slice_*() family: by arg added to match dplyr semantics.
  .by can still be called by the user instead of by.
• dt(): Can use let() to add columns even on older versions of data.table

Bug fixes

• expand_grid(): Can use "unique" or "sorted" as column names (#718)

Breaking changes

• slice_head()/_tail(): .by arg must be explicitly named when slicing by group

Functions with notable speed improvements

• mutate(): When overwriting existing columns on data frames with a high
  number of columns (>1000)

v0.9.2

New functions

• cross_join()
• group_cols()
• map_vec()
• pick()
• separate_longer_delim()
• separate_wider_delim()
• separate_wider_regex()

Functionality improvements

• separate(): Can now handle when too many or too few new names are
  specified in into arg (#666)
• unnest_longer(): Gains keep_empty arg

Bug fixes

• separate(): Can overwrite separated column without removal (#680)
• na_if(): Properly replaces NAs when y is a vector (#689)
• across(): Anonymous functions are properly translated (#699)
• pivot_wider(): names_sort = FALSE works (#705)

Deprecations

• Using by = character() in joins is now deprecated. Users should instead use cross_join().

v0.9.1

New functions

• nest_join()
• Ranking functions:
  • min_rank()
  • dense_rank()
  • percent_rank()
  • cume_dist()

Functionality improvements

• %in% falls back to base::'%in%' when input types aren't compatible
  with vec_in() (@krterberg, #632)
• relocate(): Can rename columns that are moved
• Joins: Can now do cross joins by specifying by = character()
• group_by(): Gains .add argument
• ungroup(): Gains ... arguments
• Printing of grouped tidytables now shows grouping variables

Bug fixes

• row_number(): Works correctly on 0-row data frame when overwriting existing column (#639)
• slice_head()/slice_tail(): Properly slice on 0-row data frame (#642)

Functions with notable speed improvements

• fill()

v0.9.0

Dotless functions!

• tidytable now exports dotless versions of all functions (e.g. arrange()/mutate()/etc.).
  • verb.() syntax is still available to users for backwards compatibility.
  • This will also allow users to use both tidytable and dplyr by simply loading
    dplyr after tidytable, as the verb.() functions won't be overwritten by dplyr.

New functions

• dplyr-style interface to grouping
  • group_by()/ungroup()
  • group_vars()
  • is_grouped_df()
  • rowwise()
• add_tally()/tally()
• case_match()

Functionality improvements

• summarize(): Gains .unpack argument
• pivot_longer(): Can pass a single ptype or function to
  values_ptypes/values_transform/names_ptypes/names_transform args.
• unnest_longer()/unnest_wider(): Can pass a single ptype or function to
  ptype/transform args.

Bug fixes

• tidytable::'%in%' dispatches to base::'%in%' when comparing with a list (#563)
• pivot_wider(): Works with column names with spaces (#569)
• pivot_wider(): names_glue="{.value}_{somecolumn}" assigns column names in
  correct order (@Darxor, #579)
• left_join(): Works when y matching columns in by is a non matching column of x (#625)

v0.8.1

New Functions

• consecutive_id.()
• if_else.()
  • Note: Alternate syntax ifelse.() (introduced in v0.4.0) will remain in the package
• %in%

Functionality improvements

• arrange.(): Can use .env inside arrange expressions
• case_when.(): Gains .default/.ptype/.size args
• coalesce.(): Gains .ptype/.size args
• relocate.(): Now properly handles multiple columns selected in .before or .after
• slice_min.()/slice_max.(): Gain with_ties argument

Bug Fixes

• Nested calls to across.() are handled properly (#505)
• across.(): Can namespace functions in .fns arg (#511)
• as_tidytable(): Can keep row names when converting a matrix (#527)
• unnest.(): Handles empty data frames (@roboton, #530)
• nth.(): Extracts list elements (#534)
• arrange.(): Properly sorts NAs (#541)

Deprecations

• arrange_across./mutate_across./summarize_across. are now defunct. They have been
  deprecated with warnings since v0.6.4 (Jul 2021). Users must now use across.() inside
  arrange.()/mutate.()/summarize.().

v0.8.0

New functions

• na_if.()

Functionality improvements

• expand_grid.(): Works with data frame inputs
• first.()/last.()/nth.(): Gain na_rm arg
• mutate_rowwise.(): Gains .keep, .before, and .after args
• tidytable(): Auto-unpacks unnamed data frame inputs

Breaking changes

• count.(): Default name is now n instead of N to match dplyr semantics

Bug fixes

• bind_cols.(): Correctly handles lists (#446)

Functions with notable speed improvements

• arrange.()
• case.(): Faster when conditions evaluate to NA
• group_split.()
• left_join.(): Faster when keep = FALSE (the default)
• select.()
• uncount.()

Other notes

• tidytable no longer directly depends on lifecycle

v0.7.2

New functions

• pmap.()

Functionality improvements

• summarize.(): Now sorts by the grouping variables when .by is used.
• dt(): Experimental support for tidy evaluation
• as_tidytable(): Now defaults to .name_repair = "unique" to relax restrictions on creating new tidytables

Functions with notable speed improvements

• dt(): Faster when adding new columns or updating existing columns
• as_tidytable(): Faster when converting data.frame or list objects to a tidytable
• get_dummies.()

Bug fixes

• across.(): .cols arg can find environment variables in custom functions (#389)
• Joins: Duplicate columns are treated properly when keep = FALSE (#397)
• Can use anonymous functions inside map functions inside mutate.() (#402)