dplyr1.2.0 package

Apply a function (or functions) across multiple columns

Flexible equality comparison for data frames

Apply predicate to all variables

Helper for consistent documentation of .by

Arrange rows by a selection of variables

Order rows using column values

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

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

Cumulative versions of any, all, and mean

Defunct functions for working with multiple columns

Defunct standard evaluation functions

Defunct functions

Information about the "current" group or variable

Descending order

Describing dimensions

Select distinct rows by a selection of variables

Keep distinct/unique rows

Do anything

Per-operation grouping with .by/by

Data-masking

Extending dplyr with new data frame subclasses

Argument type: tidy-select

Locale used by arrange()

dplyr: A Grammar of Data Manipulation

Explain details of a tbl

Filter within a selection of variables

Filtering joins

Keep or drop rows that match a condition

Create a list of function calls

Get a glimpse of your data

Group by a selection of variables

Default value for .drop argument of group_by

Prepare for grouping and other operations

Group by one or more variables

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-else

Join specifications

Show warnings from the last command

Compute lagged or leading values

Create a "tbl" object

Mutate multiple columns

Mutating joins

Create, modify, and delete 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 and replace values

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

Select and rename a selection of variables

Keep or drop columns using their names and types

Set operations

Subset rows using their positions

SQL escaping.

List all tbls provided by a source.

Create a "src" object

Summarise multiple columns

Summarise each group down to one row

Return a prototype of a tbl

List variables provided by a tbl.

Create a table from a data source

Other tidy eval tools

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

Create, modify, and delete columns

Select variables

Elementwise any() and all()

Perform an operation with temporary groups

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