ds_dissim {divseg}

Compute Dissimilarity Index

Description

Compute Dissimilarity Index

Usage

ds_dissim(.data, .cols, .name, .comp = FALSE)

dissim(..., .data = dplyr::across(everything()))

Arguments

.data

tibble

.cols

tidy-select Columns to compute the measure with. Must be at least 2 columns. If more than 2, treats first column as first group and sum of other columns as second.

.name

name for column with dissimilarity index. Leave missing to return a vector.

.comp

Default is FALSE. FALSE returns the sum, TRUE returns the components.

...

arguments to forward to ds_dissim from dissim

Value

a tibble or numeric vector if .name missing

Examples

data("de_county")
ds_dissim(de_county, c(pop_white, starts_with('pop_')))
ds_dissim(de_county, c(pop_white, starts_with('pop_')), .comp = TRUE)
ds_dissim(de_county, starts_with('pop_'), 'dissim')