Man pages for tidytable
Tidy Interface to 'data.table'

acrossApply a function across a selection of columns
across.Apply a function across a selection of columns
add_countAdd a count column to the data frame
add_count.Add a count column to the data frame
add_tally.Add a count column to the data frame
anti_join.Join two data.tables together
arrangeArrange/reorder rows
arrange.Arrange/reorder rows
arrange_across.Arrange by a selection of variables
as_tidytableCoerce an object to a data.table/tidytable
betweenDo the values from x fall between the left and right bounds?
between.Do the values from x fall between the left and right bounds?
bind_colsBind data.tables by row and column
bind_cols.Bind data.tables by row and column
bind_rows.Bind data.tables by row and column
c_acrossCombine values from multiple columns
c_across.Combine values from multiple columns
case'data.table::fcase()' with vectorized default
case.'data.table::fcase()' with vectorized default
case_matchVectorized 'switch()'
case_match.Vectorized 'switch()'
case_whenCase when
case_when.Case when
coalesceCoalesce missing values
coalesce.Coalesce missing values
completeComplete a data.table with missing combinations of data
complete.Complete a data.table with missing combinations of data
consecutive_idGenerate a unique id for consecutive values
consecutive_id.Generate a unique id for consecutive values
contextContext functions
countCount observations by group
count.Count observations by group
crossingCreate a data.table from all unique combinations of inputs
crossing.Create a data.table from all unique combinations of inputs
cross_joinCross join
cur_column.Context functions
cur_data.Context functions
cur_group_id.Context functions
cur_group_rows.Context functions
descDescending order
desc.Descending order
distinctSelect distinct/unique rows
distinct.Select distinct/unique rows
drop_naDrop rows containing missing values
drop_na.Drop rows containing missing values
dtPipeable data.table call
enframeConvert a vector to a data.table/tidytable
enframe.Convert a vector to a data.table/tidytable
expandExpand a data.table to use all combinations of values
expand.Expand a data.table to use all combinations of values
expand_gridCreate a data.table from all combinations of inputs
expand_grid.Create a data.table from all combinations of inputs
extractExtract a character column into multiple columns using regex
extract.Extract a character column into multiple columns using regex
fillFill in missing values with previous or next value
fill.Fill in missing values with previous or next value
filterFilter rows on one or more conditions
filter.Filter rows on one or more conditions
firstExtract the first, last, or nth value from a vector
first.Extract the first, last, or nth value from a vector
freadRead/write files
fread.Read/write files
full_join.Join two data.tables together
fwrite.Read/write files
get_dummiesConvert character and factor columns to dummy variables
get_dummies.Convert character and factor columns to dummy variables
group_byGrouping
group_by.Grouping
group_colsSelection helper for grouping columns
group_splitSplit data frame by groups
group_split.Split data frame by groups
group_varsGet the grouping variables
group_vars.Get the grouping variables
if_allCreate conditions on a selection of columns
if_all.Create conditions on a selection of columns
if_any.Create conditions on a selection of columns
if_elseFast if_else
if_else.Fast if_else
ifelse.Fast ifelse
inner_join.Join two data.tables together
in-notinFast '%in%' and %notin% operators
inv_gcRun invisible garbage collection
is_grouped_dfCheck if the tidytable is grouped
is_grouped_df.Check if the tidytable is grouped
is_tidytableTest if the object is a tidytable
lagGet lagging or leading values
lags.Get lagging or leading values
last.Extract the first, last, or nth value from a vector
leads.Get lagging or leading values
left_joinJoin two data.tables together
left_join.Join two data.tables together
mapApply a function to each element of a vector or list
map.Apply a function to each element of a vector or list
map2.Apply a function to each element of a vector or list
map2_chr.Apply a function to each element of a vector or list
map2_dbl.Apply a function to each element of a vector or list
map2_df.Apply a function to each element of a vector or list
map2_dfc.Apply a function to each element of a vector or list
map2_dfr.Apply a function to each element of a vector or list
map2_int.Apply a function to each element of a vector or list
map2_lgl.Apply a function to each element of a vector or list
map_chr.Apply a function to each element of a vector or list
map_dbl.Apply a function to each element of a vector or list
map_df.Apply a function to each element of a vector or list
map_dfc.Apply a function to each element of a vector or list
map_dfr.Apply a function to each element of a vector or list
map_int.Apply a function to each element of a vector or list
map_lgl.Apply a function to each element of a vector or list
mutateAdd/modify/delete columns
mutate.Add/modify/delete columns
mutate_across.Mutate multiple columns simultaneously
mutate_rowwiseAdd/modify columns by row
mutate_rowwise.Add/modify columns by row
nNumber of observations in each group
n.Number of observations in each group
na_ifConvert values to 'NA'
na_if.Convert values to 'NA'
n_distinctCount the number of unique values in a vector
n_distinct.Count the number of unique values in a vector
nestNest columns into a list-column
nest.Nest columns into a list-column
nest_byNest data.tables
nest_by.Nest data.tables
nesting.Expand a data.table to use all combinations of values
nest_joinNest join
new_tidytableCreate a tidytable from a list
nth.Extract the first, last, or nth value from a vector
pickSelection version of 'across()'
pipePipe operator
pivot_longerPivot data from wide to long
pivot_longer.Pivot data from wide to long
pivot_widerPivot data from long to wide
pivot_wider.Pivot data from long to wide
pmap.Apply a function to each element of a vector or list
pmap_chr.Apply a function to each element of a vector or list
pmap_dbl.Apply a function to each element of a vector or list
pmap_df.Apply a function to each element of a vector or list
pmap_dfc.Apply a function to each element of a vector or list
pmap_dfr.Apply a function to each element of a vector or list
pmap_int.Apply a function to each element of a vector or list
pmap_lgl.Apply a function to each element of a vector or list
pullPull out a single variable
pull.Pull out a single variable
rankRanking functions
recodeRecode values
reexportsObjects exported from other packages
reframeReframe a data frame
relocateRelocate a column to a new position
relocate.Relocate a column to a new position
renameRename variables by name
rename.Rename variables by name
rename_withRename multiple columns
rename_with.Rename multiple columns
replace_naReplace missing values
replace_na.Replace missing values
right_join.Join two data.tables together
row_number.Ranking functions
rowwiseConvert to a rowwise tidytable
rowwise.Convert to a rowwise tidytable
selectSelect or drop columns
select.Select or drop columns
semi_join.Join two data.tables together
separateSeparate a character column into multiple columns
separate.Separate a character column into multiple columns
separate_longer_delimSplit a string into rows
separate_rowsSeparate a collapsed column into multiple rows
separate_rows.Separate a collapsed column into multiple rows
separate_wider_delimSeparate a character column into multiple columns
separate_wider_regexSeparate a character column into multiple columns using regex...
sliceChoose rows in a data.table
slice.Choose rows in a data.table
slice_head.Choose rows in a data.table
slice_max.Choose rows in a data.table
slice_min.Choose rows in a data.table
slice_sample.Choose rows in a data.table
slice_tail.Choose rows in a data.table
summarise.Aggregate data using summary statistics
summarizeAggregate data using summary statistics
summarize.Aggregate data using summary statistics
summarize_across.Summarize multiple columns
tally.Count observations by group
tidytableBuild a data.table/tidytable
tidytable-vctrsInternal vctrs methods
top_nSelect top (or bottom) n rows (by value)
top_n.Select top (or bottom) n rows (by value)
transmuteAdd new variables and drop all others
transmute.Add new variables and drop all others
tribbleRowwise tidytable creation
uncountUncount a data.table
uncount.Uncount a data.table
ungroup.Grouping
uniteUnite multiple columns by pasting strings together
unite.Unite multiple columns by pasting strings together
unnestUnnest list-columns
unnest.Unnest list-columns
unnest_longerUnnest a list-column of vectors into regular columns
unnest_longer.Unnest a list-column of vectors into regular columns
unnest_widerUnnest a list-column of vectors into a wide data frame
unnest_wider.Unnest a list-column of vectors into a wide data frame
walk.Apply a function to each element of a vector or list
tidytable documentation built on Oct. 5, 2023, 5:07 p.m.