transmute.dtplyr_step: Create new columns, dropping old

In dtplyr: Data Table Back-End for 'dplyr'

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))

dtplyr documentation built on March 31, 2023, 9:13 p.m.