gini: Normalized Gini heterogeneity index

Description Usage Arguments See Also Examples

View source: R/gini.R

Description

Compute the normalized Gini heterogeneity index for a given discrete probability distribution.

Usage

1
gini(m,prob)

Arguments

m

Number of categories

prob

Vector of the probability distribution or relative frequencies

See Also

laakso

Examples

1
2
3
m<-7
prob<-c(0.04,0.04,0.05,0.10,0.21,0.32,0.24)
gini(m, prob)

CUB documentation built on May 29, 2017, 6:32 p.m.

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