Dear Gian,
I'm still not quite sure about the functioning of adonis(). I made some
proofs and I don't understand how does it calculate the degrees of
freedom of a nested factor. But this is most probably due to my lack of
experience with this function (as I told you I usually work with the
Hi Alex,
Well in the example you show, almost any distance based
clustering method would identify the relationship, from your example
dd-dist(cbind(x,y))
cuttree(hclust(dd),2)
However, what I think you are after is simply thresholding. So
if x are your bird coordinates, then,
library(igraph)
Maria,
*...Nevertheless you still do not know if your communities are significantly
different between each other, within each host. Now it depends on the
hypothesis you intend to test.*..
I think no sense for Community inside Host... Couse A and B are from the
same host Corylus, and C and D
A difference between two communities within a host could still exist and
could make perfect sense, too, when you regard community as a random
factor. Then community may introduce some extra variation (compared to
the within-community variation), experimentally seen interesting and
important,
On 10/12/09 23:03 PM, gabriel singer gabriel.sin...@univie.ac.at wrote:
A difference between two communities within a host could still exist and
could make perfect sense, too, when you regard community as a random
factor. Then community may introduce some extra variation (compared to
the
