dissim: Normalized dissimilarity measure

Description Usage Arguments Value Examples

View source: R/dissim.R

Description

Compute the normalized dissimilarity measure between observed relative frequencies and estimated (theoretical) probabilities of a discrete distribution.

Usage

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dissim(proba,probb)

Arguments

proba

Vector of observed relative frequencies

probb

Vector of estimated (theoretical) probabilities

Value

Numeric value of the dissimilarity index, assessing the distance to a perfect fit.

Examples

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proba<-c(0.01,0.03,0.08,0.07,0.27,0.37,0.17)
probb<-c(0.04,0.04,0.05,0.10,0.21,0.32,0.24)
dissim(proba,probb)

CUB documentation built on Nov. 17, 2017, 6:37 a.m.