transmute: Create, modify, and delete columns

In dplyr: A Grammar of Data Manipulation

Create, modify, and delete columns

Description

transmute() creates a new data frame containing only the specified computations. It's superseded because you can perform the same job with mutate(.keep = "none").

Usage

transmute(.data, ...)

Arguments

.data	A data frame, data frame extension (e.g. a tibble), or a lazy data frame (e.g. from dbplyr or dtplyr). See Methods, below, for more details.
...	<data-masking> Name-value pairs. The name gives the name of the column in the output. The value can be: A vector of length 1, which will be recycled to the correct length. A vector the same length as the current group (or the whole data frame if ungrouped). NULL, to remove the column. A data frame or tibble, to create multiple columns in the output.

Value

An object of the same type as .data. The output has the following properties:

• Columns created or modified through ... will be returned in the order specified by ....

• Unmodified grouping columns will be placed at the front.

• The number of rows is not affected.

• Columns given the value NULL will be removed.

• Groups will be recomputed if a grouping variable is mutated.

• Data frame attributes are preserved.

Methods

This function is a generic, which means that packages can provide implementations (methods) for other classes. See the documentation of individual methods for extra arguments and differences in behaviour.

Methods available in currently loaded packages: \Sexpr[stage=render,results=rd]{dplyr:::methods_rd("transmute")}.

dplyr documentation built on Nov. 17, 2023, 5:08 p.m.