dichotomize: Create dummy columns from logicals or factors in a data frame

In nuggets: Extensible Data Pattern Searching Framework

Create dummy columns from logicals or factors in a data frame

Description

This function is deprecated because partition() is more general and can be used to create dummy columns as well.

Create dummy logical columns from selected columns of the data frame. Dummy columns may be created for logical or factor columns as follows:

• for logical column col, a pair of columns is created named col=T and col=F where the former (resp. latter) is equal to the original (resp. negation of the original);

• for factor column col, a new logical column is created for each level l of the factor col and named as col=l with a value set to TRUE wherever the original column is equal to l.

Usage

dichotomize(.data, what = everything(), ..., .keep = FALSE, .other = FALSE)

Arguments

.data	a data frame to be processed
what	a tidyselect expression (see tidyselect syntax) selecting the columns to be processed
...	further tidyselect expressions for selecting the columns to be processed
.keep	whether to keep the original columns. If FALSE, the original columns are removed from the result.
.other	whether to put into result the rest of columns that were not specified for dichotomization in what argument.

Value

A tibble with selected columns replaced with dummy columns.

Author(s)

Michal Burda

Examples

dichotomize(CO2, Plant:Treatment, .other = TRUE)
# ->
partition(CO2, Plant:Treatment)

nuggets documentation built on April 3, 2025, 8:07 p.m.