across                  Apply a function (or functions) across multiple
                        columns
arrange                 Arrange rows by variables
between                 Do values in a numeric vector fall in specified
                        range?
bind                    Efficiently bind multiple 'data.frame's by row
                        and column
case_when               A General Vetorised if()
coalesce                Find first non-missing element
context                 Context dependent expressions
count                   Count observations by group
cummean                 Cumulativate versions of any, all, and mean
desc                    Descending order
distinct                Subset distinct/unique rows
filter                  Return rows with matching conditions
filter_joins            Filtering joins filter rows from 'x' based on
                        the presence or absence of matches in 'y':
glimpse                 Get a glimpse of your data
group_by                Group by one or more variables
group_by_drop_default   Default value for .drop argument of group_by
group_cols              Select Grouping Variables
group_metadata          Grouping metadata
group_split             Split data.frame by groups
if_else                 Vectorised if
lag                     Compute lagged or leading values
mutate                  Create or transform variables
mutate_joins            Mutating Joins
n_distinct              Count the number of unique values in a set of
                        vectors
na_if                   Convert values to NA
near                    Compare two numeric vectors
nest_by                 Nest By
nth                     Extract the first, last or nth value from a
                        vector
peek_vars               Peek at variables in the selection context
pipe                    Forward-pipe operator
pull                    Pull out a single variable
recode                  Recode values
relocate                Change column order
rename                  Rename columns
replace_na              Replace missing values
rownames                Tools for working with row names
select                  Subset columns using their names and types
select_helpers          Select Helpers
slice                   Subset rows by position
summarise               Reduce multiple values down to a single value
unite                   Unite Multiple Columns Into One
where                   Select variables with a function
window_rank             Windowed Rank Functions
with_groups             Perform an operation with temporary groups
