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pmap() now preserves names (#809).datatable.aware = TRUE when using tidytable
in their package (#269)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)distinct() now works on data frames with list columns
(#773)pivot_wider(): Gains unused_fn argument
(#698)verb.() functions have been removedcount() has a more helpful error message when
pick() is used (#778)unnest(keep_empty = TRUE) preserves vectors of length 0
(#783)distinct()reframe()case_when(): .default is used when
calculating a common ptype (#751)pivot_wider(): Works correctly with dates (#759)case_match(): When comparing input vector to a length 1
literalverb.() functions are now deprecated
(e.g. mutate.()). Users should now use the
verb() versions of functions.tribble()nest(): Gains .by and .key
argstidytable(): Auto-names unnamed inputsslice_*() 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.tableexpand_grid(): Can use “unique” or “sorted” as column
names (#718)slice_head()/_tail(): .by arg
must be explicitly named when slicing by groupmutate(): When overwriting existing columns on data
frames with a high number of columns (>1000)cross_join()group_cols()map_vec()pick()separate_longer_delim()separate_wider_delim()separate_wider_regex()separate(): Can now handle when too many or too few new
names are specified in into arg (#666)unnest_longer(): Gains keep_empty argseparate(): 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)by = character() in joins is now deprecated.
Users should instead use cross_join().nest_join()min_rank()dense_rank()percent_rank()cume_dist()%in% falls back to base::'%in%' when input
types aren’t compatible with vec_in() (@krterberg, #632)relocate(): Can rename columns that are movedby = character()group_by(): Gains .add argumentungroup(): Gains ... argumentsrow_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)fill()tidytable now exports dotless versions of all functions
(e.g. arrange()/mutate()/etc.).verb.() syntax is still available to users for
backwards compatibility.
tidytable and dplyr by
simply loading dplyr after tidytable,
as the verb.() functions won’t be overwritten by
dplyr.dplyr-style interface to grouping
group_by()/ungroup()group_vars()is_grouped_df()rowwise()add_tally()/tally()case_match()summarize(): Gains .unpack argumentpivot_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.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)consecutive_id.()if_else.()
ifelse.() (introduced in v0.4.0)
will remain in the package%in%arrange.(): Can use .env inside arrange
expressionscase_when.(): Gains
.default/.ptype/.size argscoalesce.(): Gains
.ptype/.size argsrelocate.(): Now properly handles multiple columns
selected in .before or .afterslice_min.()/slice_max.(): Gain
with_ties argumentacross.() 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)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.().na_if.()expand_grid.(): Works with data frame inputsfirst.()/last.()/nth.(): Gain
na_rm argmutate_rowwise.(): Gains .keep,
.before, and .after argstidytable(): Auto-unpacks unnamed data frame
inputscount.(): Default name is now n instead of
N to match dplyr semanticsbind_cols.(): Correctly handles lists (#446)arrange.()case_when.(): Faster when conditions evaluate to
NAgroup_split.()left_join.(): Faster when keep = FALSE
(the default)select.()uncount.()tidytable no longer directly depends on
lifecyclepmap.()summarize.(): Now sorts by the grouping variables when
.by is used.dt(): Experimental support for tidy evaluationas_tidytable(): Now defaults to
.name_repair = "unique" to relax restrictions on creating
new tidytablesdt(): Faster when adding new columns or updating
existing columnsas_tidytable(): Faster when converting
data.frame or list objects to a tidytableget_dummies.()across.(): .cols arg can find environment
variables in custom functions (#389)keep = FALSE (#397)map functions inside
mutate.() (#402)add_count.()cur_column.()cur_data.()unite.(): New column is always placed before the first
united column in the data frame, regardless of order provided..data pronoun inside desc() in
arrange.() (#371)left/right/inner/full
joins gain suffix and keep args (#354)rename.(): Can now rename columns by position
(#361)unite.(): The new column is placed before united
columns to match tidyr behaviornew_tidytable().data and .env pronouns now work in
tidytable functionsacross.(): Works inside of a named
mutate.(). Useful with
rowSums/rowMeans (#346)first.()/last.(): Gain a
default argmutate.(): Can use stringr::str_glue()
without specifying .envirreplace_na.(): Checks that replace arg
only uses columns that exist in the data framenth.()mutate.(): Can assign to the same column when
.by = character(0) (#332)between() is now auto-translated to
between.() when used inside tidytable
functions%notin% now uses %chin% on character
vectorsacross.(): Can pass extra arguments to a list of
functions (#319)fread.()fwrite.()unnest_longer.()unnest_wider.()bind_rows.()/bind_cols.()
!!!mutate.(): Can use glue::glue() without
specifying .envirpull.(): Added a name argumentseparate.(): Can omit output columns by using
NA in intotidytable(): Can splice quosuresunnest.(): Added keep_empty argacross.() in v0.6.1
arrange_across.()mutate_across.()summarize_across.()enframe.()first.()last.()bind_cols, bind_rows,
group_split, or joins.complete.(): Added a .by argumentexpand.(): Added a .by argumentmutate.(): Auto-names unnamed inputstransmute.(): Auto-names unnamed inputsexpand.() with nesting.()
cur_group_id.()/cur_group_rows.()n_distinct.()nesting.()mutate.():
.keep argument.before/.after argumentstidytable(): Added .name_repair
argumentfilter.() when .by is usedacross.()coalesce.()group_split.(): Added a .named argument.
If .named = TRUE, the resulting list will have names that
indicate the group they are a part of.pivot_longer.(): Can now use
names_to = c(".value", NA) to drop the id column.if_all.()/if_any.()
.by columns (#225)n() in filtering (#226)pivot_longer.()
names_to = c(".value", "id") (#235)if_all.()/if_any.()replace_na.(): Can now replace NULL values
in list-columns!!! now works in
crossing.() and expand_grid.()verb.() equivalents when used inside of
tidytable’s mutate/arrange/filter/summarize/slice.
n()row_number()if_else()/ifelse()case_when()desc()replace_na()pivot_longer.(): Correctly pivots unbalanced datasets
when ".value" is used in names_to (@moutikabdessabour, #212)mutate_across.()mutate_rowwise.() when c_across.() is
usedslice.()/slice_head.()/slice_tail.()/slice_min.()/slice_max.()tidytable has dropped the tibble package
as a dependency and now uses pillar instead.
tibble was originally used for its trunc_mat()
function that enabled tidytables to print like tibbles do in console.
pillar is the same package that tibble uses in
the background.between.()as_tidytable(): Gains .name_repair and
.keep_rownames argscount.(): Added wt, sort and
name args. (@moutikabdessabour, #196)mutate.(): Variables are now updated in order when
using “.by” (#166)pivot_longer.()
names_prefix arg".value" in names_topivot_wider.(): Can now use ".value" in
names_glueseparate.(): Added convert argsummarize.(): Variables are now created in order
(#188)pivot_longer.(): values_drop_na is no
longer the 5th argument in the functionpivot_wider.(): values_fn &
values_fill args are no longer the 6th & 7th argsc_across.()extract.()mutate_rowwise.()nest.()slice_sample.()pivot_longer.()
names_sep, names_pattern,
names_ptypes, names_transform,
names_repair, values_ptypes,
values_transform, fast_pivotfast_pivot arg: Faster pivoting. The “names” column
will be a factor instead of character. Default is set to
FALSE to match tidyverse semantics. Note: This option sets
variable.factor = TRUE in data.table::melt(),
which is what leads to it being faster.pivot_wider.()
names_prefix, names_glue,
names_sort, names_repairdt_verb() versions of functions have been removed
from the package. They have been deprecated with warnings since
v0.5.2crossing.(): Now works with data frame inputs (@moutikabdessabour, #143)distinct.(): Can rename columns (#153)get_dummies.(): Dummy columns are now sorted in
alphabetical orderpivot_wider.(): Added values_fill
argumentget_dummies.()fill.()slice.()mutate.(): Can delete a column using NULL
when .by is provided (#151)mutate_across.(): Can reference other columns in .fns
call (#145)slice.(): Works when .by contains all
columns (#158)unnest.(): Works when the only column is the list
column (#144)bind_cols.(): Name repair uses
vec_as_names() instead of
vec_as_names_legacy()bind_cols.(): Added .name_repair argunnest.(): Added names_sep and
names_repair argsprint()
n, width, and n_extra
argsslice.(): Can now drop specified rows with negative
numbersarrange_across.()case_when.()
case.() will remain in
the package, as it is called like data.table::fcase() but
allows for the default to be a vector.desc.()slice.()unnest.(): .keep_all arg changed to
.dropbind_rows.(): Removed .use_names and
.fill args
TRUE, which matches
dplyr semantics.complete.(): .fill arg renamed to
fillpull.(): defaults to var = -1 instead of
var = NULL
var = NULL was explicitly called.slice.(): .by must be named when slicing
by grouptidytable now integrates better with tidyverse
functions through vctrs. This means code such as
vec_cbind(tibble::tibble(x = 1:3), tidytable(y = "foo"))
will bind the results into a tidytable.complete.(): Can now append extra valuespull.(): Numerical selection now worksslice.(): Now uses ... to select which
rows to slicesemi_join.()rename.(): Works when there are spaces in the column
names (#109)replace_na.()summarize_across.() now
use a suffix instead of a prefixmutate_across.(): Added .names arg to help
with naming newly created columnssummarize_across.(): Added .names arg to
help with naming newly created columnssummarize.(): Added .sort arg to
optionally sort the resulting data.tabletransmute.(): Doesn’t drop “by” columns (#98)slice.()
rows arg (#99).by (#101)full_join.(): No longer returns a keyed data.table
(#102)tibble
glimpse() is now reexportedpillar in a later release once
tibble::trunc_mat() & tibble::glimpse()
are moved therebind_rows.()
use.names arg renamed to .use_namesfill arg renamed to .fillcomplete.()crossing.()expand.()expand_grid.()uncount.()replace_na.(): Now works on
data.frame/data.table inputs as well as
vectorsdesc.() has been deprecated due to incompatibility with
character columnsby has been deprecated for
.by. This will allow “by” to be used as a column name in
mutate.() & summarize.() in future
releases.dt_verb() functions are soft deprecatedseparate_rows.()unnest.(): Added .keep_all arg to keep all
list columns that were not unnestedsummarize_across.() &
summarise_across.()distinct.() bug where it wasn’t returning unique
rowstidytable now works with quosurestidyselect v0.1.1 compatibility: Updated functions to
use where()nest_by.(): Added .keep argeverything.() are now replaced
by normal helpers like everything()rename_across/_if/_at/_all have been superseded by
rename_with.()group_split.(): keep arg renamed to
.keeplags.() & leads.()case.()tidytable now utilizes tidyselect &
vctrsget_dummies.(): cols arg defaults to
c(is.character, is.factor). The result is the same, but is
more consistent with other enhanced selection functionsmutate_across.(): .funs argument renamed
to .fns to match dplyr 1.0desc.()unite.()bind_rows.(): Does name checking and fills missingdistinct.(): Added .keep_all argumentfill.(): Preserves column order when using “by”group_split.(): Added keep argnest_by.()
select.(): Now allows column renamingtransmute.(): Summary functions
(mean/max/etc.) can now be useddistinct.()drop_na.()relocate.()group_split.(): Now returns a list of tidytables
instead of data.tablesleft_join.(): Now works with “by” columns of different
namesverb.()dt_verb() functions still work, but may be slowly
deprecated in future releasesfilter.() now works with “by”pivot_wider.() can now be used with an aggregation
functionpull.() defaults to last column in a data.tableifelse.()n.()nest_by.() replaces dt_group_nest()row_number.()transmute.()unnest.() replaces dt_unnest_legacy()any_of.()fill.()pivot_longer.()unnest.()tidytable class is a data.table subclass with
cleaner printing.tidytable class in the background.tidytable(): Create a data.table/tidytableas_tidytable(): Convert to data.table/tidytableis_tidytable(): Test if an object is a
data.table/tidytabledt_get_dummies(): Get dummy variablesdt_separate()dt_pivot_longer() “cols” arg now defaults to
dt_everything() instead of NULL. The result is
the same, but is more consistent with other enhanced selection
functions.N now works when using dt_slice() &
variants~
in dt_map()dt() docs per CRAN instructionsdt_mutate() & dt_rename() no longer
modify-by-referencedt_unnest_legacy() drops “keep” argument, but
automatically keeps all non-nested columns.
dt() now automatically converts data.frame input to a
data.tabledt_mutate_across(): Added “by” argdt_left_join() fix so columns are ordered
correctlyThese binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.