ds_rel_cent: Compute Relative Centralization

In divseg: Calculate Diversity and Segregation Indices

Compute Relative Centralization

Description

Compute Relative Centralization

Usage

ds_rel_cent(.data, .cols, .name)

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

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 centralization. Leave missing to return a vector.
...	arguments to forward to ds_rel_cent from rel_cent

Value

a tibble or numeric vector if .name missing

Examples

data("de_county")
ds_rel_cent(de_county, c(pop_white, starts_with('pop_')))
ds_rel_cent(de_county, c(pop_white, starts_with('pop_')), 'rel_cent')

divseg documentation built on Dec. 28, 2022, 1:53 a.m.