%notin%                 notin operator
across.                 Apply a function across a selection of columns
add_count.              Add a count column to the data frame
arrange.                Arrange/reorder rows
arrange_across.         Arrange by a selection of variables
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_when.              Case when
coalesce.               Coalesce missing values
complete.               Complete a data.table with missing combinations
                        of data
context                 Context functions
count.                  Count observations by group
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_split.            Split data frame by groups
if_all.                 Create conditions on a selection of columns
ifelse.                 Fast ifelse
inv_gc                  Run invisible garbage collection
is_tidytable            Test if the object is a tidytable
lags.                   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_across.          Mutate multiple columns simultaneously
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
nest.                   Nest data.tables
nest_by.                Nest data.tables
new_tidytable           Create a tidytable from a list
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_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
separate_rows.          Separate a collapsed column into multiple rows
slice.                  Choose rows in a data.table
summarize.              Aggregate data using summary statistics
summarize_across.       Summarize multiple columns
tidytable               Build a data.table/tidytable
top_n.                  Select top (or bottom) n rows (by value)
transmute.              Add new variables and drop all others
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
