dplyr1.1.4 package

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

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

Helper for consistent documentation of .by

Order rows using column values

Arrange rows by a selection of variables

Copy tables to same source, if necessary

Database and SQL generics.

Detect where values fall in a specified range

Bind multiple data frames by column

Bind multiple data frames by row

Combine values from multiple columns

A general vectorised switch()

A general vectorised if-else

dbplyr compatibility functions

Find the first non-missing element

Combine vectors

Extract out common by variables

Force computation of a database query

Generate a unique identifier for consecutive combinations

Information about the "current" group or variable

Copy a local data frame to a remote src

Count the observations in each group

Cross join

Cumulativate versions of any, all, and mean

Defunct functions

Information about the "current" group or variable

Descending order

Describing dimensions

Keep distinct/unique rows

Select distinct rows by a selection of variables

Do anything

Locale used by arrange()

dplyr: A Grammar of Data Manipulation

Per-operation grouping with .by/by

Data-masking

Extending dplyr with new data frame subclasses

Argument type: tidy-select

Explain details of a tbl

Filtering joins

Keep rows that match a condition

Filter within a selection of variables

Create a list of function calls

Get a glimpse of your data

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 ...

Select grouping variables

Grouping metadata

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

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-else

Join specifications

Show warnings from the last command

Compute lagged or leading values

Create a "tbl" object

Mutating joins

Create, modify, and delete columns

Mutate multiple columns

Count unique combinations

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 and rowwise_d...

Extract the first, last, or nth value from a vector

Bucket a numeric vector into n groups

A helper function for ordering window function output

Proportional ranking functions

Select a subset of columns

Progress bar with estimated time.

Extract a single column

Recode values

Objects exported from other packages

Transform each group to an arbitrary number of rows

Change column order

Rename columns

Integer ranking functions

Manipulate individual rows

Group input by rows

Figure out if two sources are the same (or two tbl have the same sourc...

Sample n rows from a table

Operate on a selection of variables

Deprecated SE versions of main verbs.

Keep or drop columns using their names and types

Select and rename a selection of 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.

Summarise each group down to one row

Summarise multiple columns

Create, modify, and delete columns

Select variables

Perform an operation with temporary groups

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