unite.dtplyr_step: Unite multiple columns into one by pasting strings together.

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

Unite multiple columns into one by pasting strings together.

Description

This is a method for the tidyr unite() generic.

Usage

## S3 method for class 'dtplyr_step'
unite(data, col, ..., sep = "_", remove = TRUE, na.rm = FALSE)

Arguments

data	A data frame.
col	The name of the new column, as a string or symbol. This argument is passed by expression and supports quasiquotation (you can unquote strings and symbols). The name is captured from the expression with rlang::ensym() (note that this kind of interface where symbols do not represent actual objects is now discouraged in the tidyverse; we support it here for backward compatibility).
...	<tidy-select> Columns to unite
sep	Separator to use between values.
remove	If TRUE, remove input columns from output data frame.
na.rm	If TRUE, missing values will be removed prior to uniting each value.

Examples

library(tidyr)

df <- lazy_dt(expand_grid(x = c("a", NA), y = c("b", NA)))
df

df %>% unite("z", x:y, remove = FALSE)

# Separate is almost the complement of unite
df %>%
  unite("xy", x:y) %>%
  separate(xy, c("x", "y"))
# (but note `x` and `y` contain now "NA" not NA)

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