divseg (version 0.1.0)

ds_rel_clust: Compute Relative Clustering

Description

Compute Relative Clustering

Usage

ds_rel_clust(.data, .cols, .name)
rel_clust(..., .data = dplyr::across(everything()))

Value

a tibble or numeric vector if .name missing

Arguments

.data

tibble with sf geometry

.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 relative clustering. Leave missing to return a vector.

...

arguments to forward to ds_rel_clust from rel_clust

Examples

data('de_county')
ds_rel_clust(de_county, c(pop_black, starts_with('pop_')))
ds_rel_clust(de_county, c(pop_black, starts_with('pop_')), 'rel_clust')