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

fill(): Fill in missing values with previous or next value

filter(): Return rows with matching conditions

mutate() transmute(): Create or transform variables

pull(): Pull out a single variable

relocate(): Change column order

rename() rename_with(): Rename columns

select(): Subset columns using their names and types

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

unite(): Unite Multiple Columns Into One

Two table verbs

bind_cols() bind_rows(): Efficiently bind multiple data.frames 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

union_all(): Union All

Pivoting

pivot_longer(): Pivot data from wide to long

pivot_wider(): Pivot data from long to wide

Grouping

group_by() ungroup(): Group by one or more variables

group_by_drop_default(): Default value for .drop argument of group_by

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() cur_column(): Context dependent expressions

nest_by(): Nest By

with_groups(): Perform an operation with temporary groups

Vector functions

across() if_any() if_all(): Apply a function (or functions) across multiple columns

between(): Do values in a numeric vector fall in specified range?

case_when(): A General Vetorised if()

coalesce(): Find first non-missing element

cummean() cumany() cumall(): Cumulative versions of any, all, and mean

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

nth() first() last(): Extract the first, last or nth value from a vector

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

data.frame Attributes

rownames_to_column() rowid_to_column() column_to_rownames() remove_rownames() has_rownames(): Tools for working with row names

Utilities

lst(): Build a list