recluster.expl: Computes the dissimilarity contained in a distance matrix...
In recluster: Ordination Methods for the Analysis of Beta-Diversity Indices

Description Usage Arguments Value Author(s) References Examples

This function computes the fraction of the distances contained in a dissimilarity matrix which is explained by a clustering solution of the elements. The value is obtained by computing the sum of all the dissimilarity values among elements belonging to different clusters and divided by the sum of all the cells of the original dissimilarity matrix.

1	recluster.expl(mat, clust)

`mat`	A dissimilarity matrix
`clust`	A clustering solution for the cases contained in the dissimilarity matrix.

A number ranging between 0 and 1 indicating the fraction of explained dissimilarity.

Leonardo Dapporto

Holt, B.G. et al "An Update of Wallace's Zoogeographic Regions of the World." Science, 339:74-78.

data(datamod)
sor_tree<- recluster.cons(datamod, dist="sorensen")
sor_diss <- recluster.dist (datamod, dist="sorensen")
expl_diss <- recluster.expl.diss (sor_tree$cons,sor_diss)
expl_diss

Loading required package: ape
$matrix
     [,1] [,2] [,3] [,4] [,5] [,6] [,7]
A       1    2    3    3    4    5    5
B       1    2    3    3    4    4    4
lint    1    1    1    1    2    2    2
sint    2    3    4    4    5    6    6
xint    2    3    4    4    5    6    6
lA      1    1    2    2    3    3    3
lB      1    1    1    1    1    1    1
sA      2    3    4    5    6    7    8
sB      2    3    4    5    6    7    7

$expl.div
[1] 0.7100320 0.8505178 0.8862664 0.9511436 0.9670318 0.9809341 0.9920559

$nclust
[1] 2 3 4 5 6 7 8