ds_entropy: Compute Entropy Index

In divseg: Calculate Diversity and Segregation Indices

Compute Entropy Index

Description

Compute Entropy Index

Usage

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

entropy(..., .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 entropy index. Leave missing to return a vector.
.comp	Default is FALSE. FALSE returns the sum, TRUE returns the components.
...	arguments to forward to ds_entropy from entropy

Value

a tibble or numeric vector if .name missing

Examples

data("de_county")
ds_entropy(de_county, c(pop_white, starts_with('pop_')))
ds_entropy(de_county, starts_with('pop_'), 'entropy')

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