dplyr

Apply a function (or functions) across multiple columns

Convert row names to an explicit variable.

Flexible equality comparison for data frames

Apply predicate to all variables

Arrange rows by column values

Arrange rows by a selection of variables

Copy tables to same source, if necessary

Database and SQL generics.

Band membership

Evaluate, compare, benchmark operations of a set of srcs.

Do values in a numeric vector fall in specified range?

Efficiently bind multiple data frames by row and column

Combine values from multiple columns

A general vectorised if

dbplyr compatibility functions

Find first non-missing element

Combine vectors

Extract out common by variables

Force computation of a database query

Context dependent expressions

Copy a local data frame to a remote src

Count observations by group

Cumulativate versions of any, all, and mean

Defunct functions

Descending order

Describing dimensions

Subset distinct/unique rows

Select distinct rows by a selection of variables

Do anything

dplyr: A Grammar of Data Manipulation

Argument type: data-masking

Extending dplyr with new data frame subclasses

Argument type: tidy-select

Explain details of a tbl

Subset rows using column values

Filtering joins

Filter within a selection of variables

Create a list of function calls

Group by one or more variables

Group by a selection of variables

Default value for .drop argument of group_by

Same basic philosophy as group_by_prepare(): lazy_dots comes in, list of data and vars (character vector) comes out.

Select grouping variables

Grouping metadata

Apply a function to each group

Nest a tibble using a grouping specification

Split data frame by groups

Trim grouping structure

A grouped data frame.

Flag a character vector as SQL identifiers

Vectorised if

Compute lagged or leading values

Print the location in memory of a data frame

Create a "tbl" object

Create, modify, and delete columns

Mutating joins

Mutate multiple columns

Efficiently count the number of unique values in a set of vectors

Convert values to NA

Compare two numeric vectors

Nest by one or more variables

Nest join

Low-level construction and validation for the grouped_df class

Extract the first, last or nth value from a vector

A helper function for ordering window function output

Progress bar with estimated time.

Extract a single column

Windowed rank functions.

Recode values

Objects exported from other packages

Change column order

Rename columns

Manipulate individual rows

Group input by rows

Figure out if two sources are the same (or two tbl have the same source)

Sample n rows from a table

Operate on a selection of variables

Deprecated SE versions of main verbs.

Subset columns using their names and types

Select and rename a selection of variables

Select variables

Set operations

Subset rows using their positions

SQL escaping.

Create a "src" object

Source for database backends

A local source

List all tbls provided by a source.

Starwars characters

Storm tracks data

Summarise each group to fewer rows

Summarise multiple columns

Summarise and mutate multiple columns.

Create a table from a data source

Coerce to a tibble

Return a prototype of a tbl

List variables provided by a tbl.

Other tidy eval tools

Select top (or bottom) n rows (by value)

Select variables

Perform an operation with temporary groups

Run a function with one order, translating result back to original order