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). It returns a distance reflecting 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.
# 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))