%notin%                 notin operator
arrange.                Arrange/reorder rows by variables
as_tidytable            Coerce an object to a data.table/tidytable
bind_rows.              Bind data.tables by row and column
case.                   Case when
count.                  Count observations by group
distinct.               Select distinct/unique rows
drop_na.                Drop rows containing missing values
dt                      Pipeable data.table call
fill.                   Fill in missing values with previous or next
                        value
filter.                 Filter rows on one or more conditions
get_dummies.            Convert character and factor columns to dummy
                        variables
group_split.            Split data frame by groups
ifelse.                 Vectorized if
inv_gc                  Run invisible garbage collection
is_tidytable            Test if the object is a tidytable
left_join.              Join two data.tables together
map.                    Apply a function to each element of a vector
mutate.                 Mutate
mutate_across.          Mutate multiple columns simultaneously
mutate_if.              Depcrecated mutate helpers
n.                      Number of observations in each group
nest_by.                Nest data.tables
pivot_longer.           Pivot data from wide to long
pivot_wider.            Pivot data from long to wide
pull.                   Pull out a single variable
relocate.               Relocate a column to a new position
rename.                 Rename variables by name
rename_all.             Deprecated rename helpers
rename_with.            Rename multiple columns
replace_na.             Replace missing values
row_number.             Return row number
select.                 Select or drop columns
separate.               Separate a character column into multiple
                        columns
slice.                  Choose rows by position
starts_with.            Select helpers
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
unnest.                 Unnest a nested data.table
