ts_dissim: Dissimilarity Index

In slu-openGIS/tidyseg: Tidy approaches for calculating measures of segregation

Description

Calculates an index of dissimilarity value for a given pair of groups.

Usage

ts_dissim(.data, popA, popB, dissim, return = c("index", "tibble"))

Arguments

.data	A tbl
popA	Column name of group A population count per feature
popB	Column name of group B population count per feature
dissim	If return = "tibble", this argument is used to provide name of index variable
return	Specifies output. When index, a single value will be returned. When tibble, a table will be returned with dissimilarity values per feature appended as a column.

Value

Based on return, either a single index of dissimilarity value or a tibble with dissimilarity values per feature.

slu-openGIS/tidyseg documentation built on May 14, 2019, 7:22 p.m.