[R-sig-eco] Use of PCoa in varipart

[Fernando Rodrigues da Silva]

Dear R users,

I would like to know if there is a possibility to perform the same analysis
of Clappe et al. 2018 (Ecology, 1737-1747), but instead of using a
Principal Component Analysis (PCA) in the function *varipart*, I use a
Principal Coordinates Analysis (PCoA) based on the Simpson index of
dissimilarity.

I tried running the example of the article, but I get an error saying it is
not yet available.


*comp_dist <- beta.pair (mafragh$flo, index.family =
"sorensen")pcoa.species <- dudi.pco (comp_dist$beta.sim, scannf = F)vprda
<- varipart (pcoa.species, environment, eigenfw, type = "parametric")*
# Error in dudi.type(Y$call) : Not yet available
*vprdaMSR <- msr (vprda, mafragh.lw, nrepet = 999)*

Does anyone know if there is any script available for this type of approach?

All the best,

*Prof. Dr. Fernando Rodrigues da Silva *
*===========================================================**===*
Laboratório de Ecologia Teórica: Integrando Tempo, Biologia e Espaço (
LET.IT.BE),
Departamento de Ciências Ambientais (DCA),
Universidade Federal de São Carlos (UFSCar), campus Sorocaba

Personal Page: *http://fernandoecologia.wix.com/fernandorodrigues
<http://fernandoecologia.wix.com/fernandorodrigues>*

*       https://orcid.org/0000-0002-0983-3207
<https://orcid.org/0000-0002-0983-3207>    *


*===============================================================*

	[[alternative HTML version deleted]]