R: A Grammar of Data Manipulation

# A Grammar of Data Manipulation

## Documentation for package ‘dplyr’ version 1.2.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

A B C D E F G I J L M N O P R S T U V W

## -- A --

across | Apply a function (or functions) across multiple columns
add_count | Count the observations in each group
add_tally | Count the observations in each group
all_vars | Apply predicate to all variables
anti_join | Filtering joins
anti_join.data.frame | Filtering joins
any_vars | Apply predicate to all variables
arrange | Order rows using column values
arrange.data.frame | Order rows using column values
auto_copy | Copy tables to same source, if necessary

## -- B --

band_instruments | Band membership
band_instruments2 | Band membership
band_members | Band membership
between | Detect where values fall in a specified range
bind | Bind multiple data frames by row
bind_cols | Bind multiple data frames by column
bind_rows | Bind multiple data frames by row

## -- C --

case-and-replace-when | A general vectorised if-else
case_when | A general vectorised if-else
closest | Join specifications
coalesce | Find the first non-missing element
collapse | Force computation of a database query
collect | Force computation of a database query
compute | Force computation of a database query
consecutive_id | Generate a unique identifier for consecutive combinations
context | Information about the "current" group or variable
copy_to | Copy a local data frame to a remote src
count | Count the observations in each group
count.data.frame | Count the observations in each group
cross_join | Cross join
cumall | Cumulative versions of any, all, and mean
cumany | Cumulative versions of any, all, and mean
cume_dist | Proportional ranking functions
cummean | Cumulative versions of any, all, and mean
cur_column | Information about the "current" group or variable
cur_group | Information about the "current" group or variable
cur_group_id | Information about the "current" group or variable
cur_group_rows | Information about the "current" group or variable
c_across | Combine values from multiple columns

## -- D --

dense_rank | Integer ranking functions
desc | Descending order
distinct | Keep distinct/unique rows
dplyr_by | Per-operation grouping with '.by'/'by'

## -- E --

explain | Explain details of a tbl

## -- F --

filter | Keep or drop rows that match a condition
filter-joins | Filtering joins
filter_out | Keep or drop rows that match a condition
first | Extract the first, last, or nth value from a vector
full_join | Mutating joins
full_join.data.frame | Mutating joins

## -- G --

glimpse | Get a glimpse of your data
group_by | Group by one or more variables
group_cols | Select grouping variables
group_map | Apply a function to each group
group_modify | Apply a function to each group
group_trim | Trim grouping structure
group_walk | Apply a function to each group

## -- I --

ident | Flag a character vector as SQL identifiers
if_all | Apply a function (or functions) across multiple columns
if_any | Apply a function (or functions) across multiple columns
if_else | Vectorised if-else
inner_join | Mutating joins
inner_join.data.frame | Mutating joins
intersect | Set operations
is.tbl | Create a table from a data source

## -- J --

join | Mutating joins
join.data.frame | Mutating joins
join_by | Join specifications

## -- L --

lag | Compute lagged or leading values
last | Extract the first, last, or nth value from a vector
lead | Compute lagged or leading values
lead-lag | Compute lagged or leading values
left_join | Mutating joins
left_join.data.frame | Mutating joins

## -- M --

min_rank | Integer ranking functions
mutate | Create, modify, and delete columns
mutate-joins | Mutating joins
mutate.data.frame | Create, modify, and delete columns

## -- N --

n | Information about the "current" group or variable
na_if | Convert values to 'NA'
near | Compare two numeric vectors
nest_join | Nest join
nest_join.data.frame | Nest join
nth | Extract the first, last, or nth value from a vector
ntile | Bucket a numeric vector into 'n' groups
n_distinct | Count unique combinations

## -- O --

order_by | A helper function for ordering window function output
overlaps | Join specifications

## -- P --

percent_rank | Proportional ranking functions
pick | Select a subset of columns
pull | Extract a single column

## -- R --

recode | Recode values
recode-and-replace-values | Recode and replace values
recode_factor | Recode values
recode_values | Recode and replace values
reframe | Transform each group to an arbitrary number of rows
relocate | Change column order
rename | Rename columns
rename_with | Rename columns
replace_values | Recode and replace values
replace_when | A general vectorised if-else
right_join | Mutating joins
right_join.data.frame | Mutating joins
rows | Manipulate individual rows
rows_append | Manipulate individual rows
rows_delete | Manipulate individual rows
rows_insert | Manipulate individual rows
rows_patch | Manipulate individual rows
rows_update | Manipulate individual rows
rows_upsert | Manipulate individual rows
rowwise | Group input by rows
row_number | Integer ranking functions

## -- S --

scoped | Operate on a selection of variables
select | Keep or drop columns using their names and types
semi_join | Filtering joins
semi_join.data.frame | Filtering joins
setdiff | Set operations
setequal | Set operations
setops | Set operations
show_query | Explain details of a tbl
slice | Subset rows using their positions
slice_head | Subset rows using their positions
slice_max | Subset rows using their positions
slice_min | Subset rows using their positions
slice_sample | Subset rows using their positions
slice_tail | Subset rows using their positions
sql | SQL escaping.
starwars | Starwars characters
storms | Storm tracks data
summarise | Summarise each group down to one row
summarize | Summarise each group down to one row
symdiff | Set operations

## -- T --

tally | Count the observations in each group
tbl | Create a table from a data source

## -- U --

ungroup | Group by one or more variables
union | Set operations
union_all | Set operations

## -- V --

vars | Select variables

## -- W --

when-any-all | Elementwise 'any()' and 'all()'
when_all | Elementwise 'any()' and 'all()'
when_any | Elementwise 'any()' and 'all()'
within | Join specifications