ds_rel_conc {divseg}R Documentation

Compute Relative Concentration

Description

Compute Relative Concentration

Usage

ds_rel_conc(.data, .cols, .name)

rel_conc(..., .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 concentration. Leave missing to return a vector.

...

arguments to forward to ds_rel_conc from rel_conc

Value

a tibble or numeric vector if .name missing

Examples

data('de_county')
ds_rel_conc(de_county, c(pop_black, starts_with('pop_')))
ds_rel_conc(de_county, c(pop_black, starts_with('pop_')), 'rel_conc')

[Package divseg version 0.0.5 Index]