Tidy Interface to 'data.table'

Documentation for package ‘tidytable’ version 0.11.1

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-- A --

across	Apply a function across a selection of columns
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
arrange	Arrange/reorder rows
as_tidytable	Coerce an object to a data.table/tidytable

-- B --

between	Do the values from x fall between the left and right bounds?
bind_cols	Bind data.tables by row and column
bind_rows	Bind data.tables by row and column

-- C --

case	'data.table::fcase()' with vectorized default
case_match	Vectorized 'switch()'
case_when	Case when
coalesce	Coalesce missing values
complete	Complete a data.table with missing combinations of data
consecutive_id	Generate a unique id for consecutive values
context	Context functions
count	Count observations by group
crossing	Create a data.table from all unique combinations of inputs
cross_join	Cross join
cume_dist	Ranking functions
cur_column	Context functions
cur_data	Context functions
cur_group_id	Context functions
cur_group_rows	Context functions
c_across	Combine values from multiple columns

-- D --

dense_rank	Ranking functions
desc	Descending order
distinct	Select distinct/unique rows
drop_na	Drop rows containing missing values
dt	Pipeable data.table call

-- E --

enframe	Convert a vector to a data.table/tidytable
expand	Expand a data.table to use all combinations of values
expand_grid	Create a data.table from all combinations of inputs
extract	Extract a character column into multiple columns using regex

-- F --

fill	Fill in missing values with previous or next value
filter	Filter rows on one or more conditions
first	Extract the first, last, or nth value from a vector
fread	Read/write files
full_join	Join two data.tables together

-- G --

get_dummies	Convert character and factor columns to dummy variables
group_by	Grouping
group_cols	Selection helper for grouping columns
group_split	Split data frame by groups
group_vars	Get the grouping variables

-- I --

if_all	Create conditions on a selection of columns
if_any	Create conditions on a selection of columns
if_else	Fast if_else
inner_join	Join two data.tables together
inv_gc	Run invisible garbage collection
is_grouped_df	Check if the tidytable is grouped
is_tidytable	Test if the object is a tidytable

-- L --

lag	Get lagging or leading values
last	Extract the first, last, or nth value from a vector
lead	Get lagging or leading values
left_join	Join two data.tables together

-- M --

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
map2_vec	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
map_vec	Apply a function to each element of a vector or list
min_rank	Ranking functions
mutate	Add/modify/delete columns
mutate_rowwise	Add/modify columns by row

-- N --

n	Number of observations in each group
na_if	Convert values to 'NA'
nest	Nest columns into a list-column
nesting	Expand a data.table to use all combinations of values
nest_by	Nest data.tables
nest_join	Nest join
new_tidytable	Create a tidytable from a list
nth	Extract the first, last, or nth value from a vector
n_distinct	Count the number of unique values in a vector

-- P --

percent_rank	Ranking functions
pick	Selection version of 'across()'
pivot_longer	Pivot data from wide to long
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
pmap_vec	Apply a function to each element of a vector or list
pull	Pull out a single variable

-- R --

reframe	Reframe a data frame
relocate	Relocate a column to a new position
rename	Rename variables by name
rename_with	Rename multiple columns
replace_na	Replace missing values
right_join	Join two data.tables together
rowwise	Convert to a rowwise tidytable
row_number	Ranking functions

-- S --

select	Select or drop columns
semi_join	Join two data.tables together
separate	Separate a character column into multiple columns
separate_longer_delim	Split a string into rows
separate_rows	Separate a collapsed column into multiple rows
separate_wider_delim	Separate a character column into multiple columns
separate_wider_regex	Separate a character column into multiple columns using regex patterns
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
summarize	Aggregate data using summary statistics

-- T --

tally	Count observations by group
tidytable	Build a data.table/tidytable
top_n	Select top (or bottom) n rows (by value)
transmute	Add new variables and drop all others
tribble	Rowwise tidytable creation

-- U --

uncount	Uncount a data.table
ungroup	Grouping
unite	Unite multiple columns by pasting strings together
unnest	Unnest list-columns
unnest_longer	Unnest a list-column of vectors into regular columns
unnest_wider	Unnest a list-column of vectors into a wide data frame

-- W --

walk	Apply a function to each element of a vector or list

-- misc --

%in%	Fast '%in%' and %notin% operators
%notin%	Fast '%in%' and %notin% operators