prabclus: regdist – R documentation

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regdist

Regression between subsets of dissimilarity matrices

Description

Given two dissimilarity matrices dmx and dmy and an indicator vector x, this computes a standard least squares regression between the dissimilarity between objects indicated in x.

Usage

regdist(x,dmx,dmy,xcenter=0,param)

Arguments

`x`	vector of logicals of length of the number of objects on which dissimilarities `dmx` and `dmy` are based.
`dmx`	dissimilarity matrix or object of class `dist`. Explanatory dissimilarities.
`dmy`	dissimilarity matrix or object of class `dist`. Response dissimilarities.
`xcenter`	numeric. Dissimilarities `dmx` are centered by this, i.e., this value is subtracted from the dissimilarities before regression.
`param`	1 or 2 or `NULL`. If 1 or 2, only the first or second parameter (intercept or slope) of the regression is given out.

Value

If param=NULL, the output object of lm. If param=1 the intercept. If param=2 the slope.

Author(s)

Christian Hennig christian.hennig@unibo.it https://www.unibo.it/sitoweb/christian.hennig/en

References

Hausdorf, B. and Hennig, C. (2019) Species delimitation and geography. Submitted.

Examples

options(digits=4)
  data(veronica)
  ver.geo <- coord2dist(coordmatrix=veronica.coord[1:20,],file.format="decimal2")
  vei <- prabinit(prabmatrix=veronica[1:20,],distance="jaccard")
  regdist(c(rep(TRUE,10),rep(FALSE,10)),ver.geo,vei$distmat,param=1)

prabclus

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

v2.3-2

GPL

Authors

Christian Hennig <christian.hennig@unibo.it>, Bernhard Hausdorf <Hausdorf@zoologie.uni-hamburg.de>

Initial release

2020-01-06