distratio: Distance ratio test statistics for distance based clustering

In prabclus: Functions for Clustering and Testing of Presence-Absence, Abundance and Multilocus Genetic Data

Distance ratio test statistics for distance based clustering

Description

Calculates the ratio between the prop smallest and largest distances of a distance matrix.

Usage

distratio(distmat, prop = 0.25)

Arguments

distmat	symmetric distance matrix.
prop	numerical. Proportion between 0 and 1.

Details

Rounding is by floor for small and ceiling for large distances.

Value

A list with components

dr	ratio of prop smallest to prop largest distances.
lowmean	mean of prop smallest distances.
himean	mean of prop smallest distances.
prop	see above.

Author(s)

Christian Hennig [e-mail] https://www.unibo.it/sitoweb/christian.hennig/en

References

Hennig, C. and Hausdorf, B. (2004) Distance-based parametric bootstrap tests for clustering of species ranges. Computational Statistics and Data Analysis 45, 875-896.

See Also

prabtest

Examples

options(digits=4)
data(kykladspecreg)
j <- jaccard(t(kykladspecreg))
distratio(j)

prabclus documentation built on Sept. 24, 2024, 5:07 p.m.