[R-sig-eco] forward selection of significant eigenvectors

[Stéphane Dray]

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 à 16:41, Tim Richter-Heitmann a écrit :
> 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!
>>
>>     [[alternative HTML version deleted]]
>>
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-- 
Stéphane DRAY (stephane.dray using univ-lyon1.fr)
Laboratoire BBE-CNRS-UMR-5558, Univ. C. Bernard - Lyon I
43, Bd du 11 Novembre 1918, 69622 Villeurbanne Cedex, France
http://pbil.univ-lyon1.fr/members/dray/
GdR EcoStat : https://sites.google.com/site/gdrecostat/