Hi,
we introduced a new function mem.select in adespatial (that used
forward.sel)? based on the work by Bauman et al
(https://onlinelibrary.wiley.com/doi/abs/10.1111/ecog.03380)
Basically, we showed that you should use a global test before
performing forward selection (this step is suggested by Blanchet et al
but rarely performed? in ecological studies).
Cheers
Le 06/06/2019 ? 16:41, Tim Richter-Heitmann a ?crit?:
Dear Irene,
i found this tutorial very useful:
https://sites.ualberta.ca/~ahamann/teaching/renr690/Lab9.pdf
You basically do a forward selection (forward.sel() from packfor
package) using the adjusted R-square (RsquareAdj() from vegan package).
Hope this helps, Tim
Am 06.06.2019 um 16:34 schrieb Irene Adamo:
Dear all,
I am trying to run a variaion partitioning in using the varpart
function in
vegan. I would like to include the geographic coordinates as
explanatory
variables so I calculated the principle coordinates of neighbour
matrices.
Now I would like to perform a selection of the significant spatial
eigenvectors but I don`t know how to do it in R. Could anybody help me?
data(mite.xy)
pcnm1 <- pcnm(dist(mite.xy))
then I get the pcnm vectors and I would like to select only the
significant ones.
Thanks a lot!
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