R: Quantitative Kulczynski distance matrix

qkulczynski {prabclus} | R Documentation

## Quantitative Kulczynski distance matrix

### Description

Computes quantitative Kulczynski distances between the columns of an abundance matrix.

### Usage

    qkulczynski(regmat, log.distance=FALSE)

### Arguments

`regmat` | (non-negative) abundance matrix. Columns are species, rows are regions.
`log.distance` | logical. If `TRUE`, 1 is added to the abundance matrix and then the logs of the values are taken in order to compute the distance.

### Details

The quantitative Kulczynski distance between two species is 1-(mean of (mean of over regions minimum abundance of both species)/(sum of abundances of species 1) and (mean of over regions minimum abundance of both species)/(sum of abundances of species 2)). If the abundance matrix is a 0-1-matrix, this gives the standard Kulczynski distance.

### Value

A symmetrical matrix of quantitative Kulczynski distances.

### Author(s)

Christian Hennig chrish@stats.ucl.ac.uk http://www.homepages.ucl.ac.uk/~ucakche

### References

D. P. Faith, P. R. Minchin and L. Belbin (1987) Compositional dissimilarity as a robust measure of ecological distance. Vegetation 69, 57-68.

### See Also

`kulczynski`

### Examples

    options(digits=4)
    data(kykladspecreg)
    qkulczynski(t(kykladspecreg))

[Package prabclus version 2.2-6 Index]