R: A Grammar of Data Manipulation

# A Grammar of Data Manipulation

## Documentation for package ‘dplyr’ version 0.8.3

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

## Help Pages

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

dplyr-package | dplyr: a grammar of data manipulation

## -- A --

add_count | Count/tally observations by group
add_tally | Count/tally observations by group
all.equal.tbl_df | Flexible equality comparison for data frames
all_equal | Flexible equality comparison for data frames
all_vars | Apply predicate to all variables
anti_join | Join two tbls together
anti_join.tbl_df | Join data frame tbls
any_vars | Apply predicate to all variables
arrange | Arrange rows by variables
arrange.grouped_df | Arrange rows by variables
arrange_all | Arrange rows by a selection of variables
arrange_at | Arrange rows by a selection of variables
arrange_if | Arrange rows by a selection of variables
as.data.frame.tbl_cube | Coerce a 'tbl_cube' to other data structures
as.table.tbl_cube | Coerce a 'tbl_cube' to other data structures
as.tbl | Create a table from a data source
as.tbl_cube | Coerce an existing data structure into a 'tbl_cube'
as.tbl_cube.array | Coerce an existing data structure into a 'tbl_cube'
as.tbl_cube.data.frame | Coerce an existing data structure into a 'tbl_cube'
as.tbl_cube.matrix | Coerce an existing data structure into a 'tbl_cube'
as.tbl_cube.table | Coerce an existing data structure into a 'tbl_cube'
as_tibble.tbl_cube | Coerce a 'tbl_cube' to other data structures
auto_copy | Copy tables to same source, if necessary

## -- B --

band_instruments | Band membership
band_instruments2 | Band membership
band_members | Band membership
between | Do values in a numeric vector fall in specified range?
bind | Efficiently bind multiple data frames by row and column
bind_cols | Efficiently bind multiple data frames by row and column
bind_rows | Efficiently bind multiple data frames by row and column

## -- C --

case_when | A general vectorised if
coalesce | Find first non-missing element
collapse | Force computation of a database query
collect | Force computation of a database query
combine | Combine vectors
compute | Force computation of a database query
copy_to | Copy a local data frame to a remote src
count | Count/tally observations by group
cumall | Cumulativate versions of any, all, and mean
cumany | Cumulativate versions of any, all, and mean
cume_dist | Windowed rank functions.
cummean | Cumulativate versions of any, all, and mean
current_vars | Select variables

## -- D --

dense_rank | Windowed rank functions.
desc | Descending order
distinct | Select distinct/unique rows
distinct_all | Select distinct rows by a selection of variables
distinct_at | Select distinct rows by a selection of variables
distinct_if | Select distinct rows by a selection of variables
do | Do anything
dplyr | dplyr: a grammar of data manipulation
dr_dplyr | Dr Dplyr checks your installation for common problems.

## -- E --

explain | Explain details of a tbl

## -- F --

filter | Return rows with matching conditions
filter_all | Filter within a selection of variables
filter_at | Filter within a selection of variables
filter_if | Filter within a selection of variables
first | Extract the first, last or nth value from a vector
full_join | Join two tbls together
full_join.tbl_df | Join data frame tbls
funs | Create a list of functions calls.

## -- G --

groups | Return grouping variables
group_by | Group by one or more variables
group_by_all | Group by a selection of variables
group_by_at | Group by a selection of variables
group_by_drop_default | Default value for .drop argument of group_by
group_by_if | Group by a selection of variables
group_cols | Select grouping variables
group_data | Grouping data
group_keys | Split data frame by groups
group_map | Apply a function to each group
group_modify | Apply a function to each group
group_rows | Grouping data
group_split | Split data frame by groups
group_trim | Trim grouping structure
group_vars | Return grouping variables
group_walk | Apply a function to each group

## -- H --

hybrid_call | Inspect how dplyr evaluates an expression

## -- I --

ident | Flag a character vector as SQL identifiers
if_else | Vectorised if
inner_join | Join two tbls together
inner_join.tbl_df | Join data frame tbls
intersect | Set operations
is.tbl | Create a table from a data source

## -- J --

join | Join two tbls together
join.tbl_df | Join data frame tbls

## -- L --

lag | Lead and lag.
last | Extract the first, last or nth value from a vector
lead | Lead and lag.
lead-lag | Lead and lag.
left_join | Join two tbls together
left_join.tbl_df | Join data frame tbls

## -- M --

min_rank | Windowed rank functions.
mutate | Create or transform variables
mutate_all | Mutate multiple columns
mutate_at | Mutate multiple columns
mutate_if | Mutate multiple columns

## -- N --

n | The number of observations in the current group.
nasa | NASA spatio-temporal data
na_if | Convert values to NA
near | Compare two numeric vectors
nest_join | Join two tbls together
nest_join.data.frame | Join data frame tbls
nest_join.tbl_df | Join data frame tbls
nth | Extract the first, last or nth value from a vector
ntile | Windowed rank functions.
n_distinct | Efficiently count the number of unique values in a set of vector

## -- O --

order_by | A helper function for ordering window function output

## -- P --

percent_rank | Windowed rank functions.
pull | Pull out a single variable

## -- R --

ranking | Windowed rank functions.
rbind_all | Efficiently bind multiple data frames by row and column
rbind_list | Efficiently bind multiple data frames by row and column
recode | Recode values
recode_factor | Recode values
rename | Select/rename variables by name
rename_all | Select and rename a selection of variables
rename_at | Select and rename a selection of variables
rename_if | Select and rename a selection of variables
rename_vars | Select variables
right_join | Join two tbls together
right_join.tbl_df | Join data frame tbls
rowwise | Group input by rows
row_number | Windowed rank functions.

## -- S --

sample | Sample n rows from a table
sample_frac | Sample n rows from a table
sample_n | Sample n rows from a table
scoped | Operate on a selection of variables
select | Select/rename variables by name
select_all | Select and rename a selection of variables
select_at | Select and rename a selection of variables
select_if | Select and rename a selection of variables
select_var | Select variables
select_vars | Select variables
semi_join | Join two tbls together
semi_join.tbl_df | Join data frame tbls
setdiff | Set operations
setequal | Set operations
setops | Set operations
show_query | Explain details of a tbl
slice | Choose rows by position
sql | SQL escaping.
src_dbi | Source for database backends
src_mysql | Source for database backends
src_postgres | Source for database backends
src_sqlite | Source for database backends
starwars | Starwars characters
storms | Storm tracks data
summarise | Reduce multiple values down to a single value
summarise_all | Summarise multiple columns
summarise_at | Summarise multiple columns
summarise_if | Summarise multiple columns
summarize | Reduce multiple values down to a single value
summarize_all | Summarise multiple columns
summarize_at | Summarise multiple columns
summarize_if | Summarise multiple columns

## -- T --

tally | Count/tally observations by group
tbl | Create a table from a data source
tbl_cube | A data cube tbl
top_frac | Select top (or bottom) n rows (by value)
top_n | Select top (or bottom) n rows (by value)
transmute | Create or transform variables
transmute_all | Mutate multiple columns
transmute_at | Mutate multiple columns
transmute_if | Mutate multiple columns

## -- U --

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

## -- V --

vars | Select variables