CMulti: A function to compute multigroup squared coefficient of...

View source: R/SegFunctions.R

CMultiR Documentation

A function to compute multigroup squared coefficient of variation index

Description

The index can be interpreted as a measure of the variance of the spatial representation of the groups accros spatial unite, or as a normalized chi-squared measure of association between groups and units.

Usage

CMulti(x)

Arguments

x

an object of class matrix (or which can be coerced to that class), where each column represents the distribution of a group within spatial units. The number of columns should be greater than 1 (at least 2 groups are required). You should not include a column with total population, because this will be interpreted as a group.

Value

The multigroup entropy segregation index value (numeric)

References

Reardon S. F. and Firebaugh G. (2002) Measures of multigroup segregation. Sociological Methodology, 32, pp. 33-67.

See Also

multigroup indices: PMulti, GiniMulti, DMulti, HMulti, RelDivers

Social diversity indices: HShannon, NShannon, ISimpson,

Examples

x <- segdata@data[ ,1:2]
CMulti(x) 

OasisR documentation built on April 3, 2025, 5:58 p.m.

Related to CMulti in OasisR...