Function reference • poorman

One table verbs
`arrange()`	Arrange rows by variables
`count()` `tally()` `add_count()` `add_tally()`	Count observations by group
`distinct()`	Subset distinct/unique rows
`filter()`	Return rows with matching conditions
`mutate()` `transmute()`	Create or transform variables
`pull()`	Pull out a single variable
`relocate()` `select()`	Select/relocate variables by name
`rename()` `rename_with()`	Rename columns
`summarise()` `summarize()`	Reduce multiple values down to a single value
`slice()` `slice_head()` `slice_tail()` `slice_min()` `slice_max()` `slice_sample()`	Subset rows by position
Two table verbs
`bind_cols()` `bind_rows()`	Efficiently bind multiple `data.frame`s by row and column
`anti_join()` `semi_join()`	Filtering joins filter rows from `x` based on the presence or absence of matches in `y`:
`inner_join()` `left_join()` `right_join()` `full_join()`	Mutating Joins
Grouping
`group_by()` `ungroup()`	Group by one or more variables
`group_data()` `group_rows()` `group_indices()` `group_vars()` `groups()` `group_size()` `n_groups()`	Grouping metadata
`group_split()` `group_keys()`	Split data.frame by groups
`n()` `cur_data()` `cur_data_all()` `cur_group()` `cur_group_id()` `cur_group_rows()`	Context dependent expressions
`nest_by()`	Nest By
Vector functions
`between()`	Do values in a numeric vector fall in specified range?
`case_when()`	A General Vetorised `if()`
`coalesce()`	Find first non-missing element
`desc()`	Descending order
`if_else()`	Vectorised if
`lag()` `lead()`	Compute lagged or leading values
`n_distinct()`	Count the number of unique values in a set of vectors
`na_if()`	Convert values to NA
`near()`	Compare two numeric vectors
`recode()` `recode_factor()`	Recode values
`replace_na()`	Replace missing values
`cume_dist()` `dense_rank()` `min_rank()` `ntile()` `percent_rank()` `row_number()`	Windowed Rank Functions
Selection helpers
`group_cols()`	Select Grouping Variables
`peek_vars()`	Peek at variables in the selection context
`starts_with()` `ends_with()` `contains()` `matches()` `num_range()` `all_of()` `any_of()` `everything()` `last_col()`	Select Helpers
`where()`	Select variables with a function
Piping
`%>%`	Forward-pipe operator
data.frame Display
`glimpse()`	Get a glimpse of your data
`rownames_to_column()`	Tools for working with row names

Reference

One table verbs

Two table verbs

Grouping

Vector functions

Selection helpers

Piping

data.frame Display