%in%                    Fast '%in%' and %notin% operators
across                  Apply a function across a selection of columns
add_count               Add a count column to the data frame
arrange                 Arrange/reorder rows
as_tidytable            Coerce an object to a data.table/tidytable
between                 Do the values from x fall between the left and
                        right bounds?
bind_cols               Bind data.tables by row and column
c_across                Combine values from multiple columns
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
cross_join              Cross join
crossing                Create a data.table from all unique
                        combinations of inputs
desc                    Descending order
distinct                Select distinct/unique rows
drop_na                 Drop rows containing missing values
dt                      Pipeable data.table call
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
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
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
if_all                  Create conditions on a selection of columns
if_else                 Fast if_else
inv_gc                  Run invisible garbage collection
is_grouped_df           Check if the tidytable is grouped
is_tidytable            Test if the object is a tidytable
lag                     Get lagging or leading values
left_join               Join two data.tables together
map                     Apply a function to each element of a vector or
                        list
mutate                  Add/modify/delete columns
mutate_rowwise          Add/modify columns by row
n                       Number of observations in each group
n_distinct              Count the number of unique values in a vector
na_if                   Convert values to 'NA'
nest                    Nest columns into a list-column
nest_by                 Nest data.tables
nest_join               Nest join
new_tidytable           Create a tidytable from a list
pick                    Selection version of 'across()'
pivot_longer            Pivot data from wide to long
pivot_wider             Pivot data from long to wide
pull                    Pull out a single variable
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
row_number              Ranking functions
rowwise                 Convert to a rowwise tidytable
select                  Select or drop columns
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_head              Choose rows in a data.table
summarize               Aggregate data using summary statistics
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
uncount                 Uncount a data.table
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
