transmute.dtplyr_step {dtplyr}

Create new columns, dropping old

Description

This is a method for the dplyr transmute() generic. It is translated to the j argument of ⁠[.data.table⁠.

Usage

## S3 method for class 'dtplyr_step'
transmute(.data, ...)

Arguments

.data

A lazy_dt().

...

<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.

Examples

library(dplyr, warn.conflicts = FALSE)

dt <- lazy_dt(dplyr::starwars)
dt %>% transmute(name, sh = paste0(species, "/", homeworld))