diss.dist: Calculate a distance matrix based on relative dissimilarity
Description
diss.dist uses the same discreet dissimilarity matrix utilized by the index
of association (see ia for details). By default, it returns a
distance reflecting the number of allelic differences between two
individuals. When percent = TRUE, it returns a ratio of the number of
observed differences by the number of possible differences. Eg. two
individuals who share half of the same alleles will have a distance of 0.5.
This function can analyze distances for any marker system.
logical. Should the distance be represented as a
percent? If set to FALSE (default), the distance will be reflected
as the number of alleles differing between to individuals. When set to
TRUE, These will be div
mat
logical. Return a matrix object. Default set to
FALSE, returning a dist object. TRUE returns a matrix object.
Value
Pairwise distances between individuals present in the genind object.
# A simple example. Let's analyze the mean distance among populations of A.# euteiches.
data(Aeut)
mean(diss.dist(popsub(Aeut, 1)))
mean(diss.dist(popsub(Aeut, 2)))
mean(diss.dist(Aeut))