Dear all, I have a large matrix of 680 localities x 6000 species with presence-absence data divided into 42 ecoregions. I used the multipatt function of the indicspecies package to identify indicator species of each ecoregion.
indic = multipatt(dados3[,2:ncol(dados3)], dados3[,1], func = "IndVal.g", duleg = TRUE, control = how(nperm = 999)) Results returned many indicator species for some ecoregions but many ecoregions with zero indicator species. I am in doubt wether the function options I made are adequate to run the analyses for presence-absence data since in the tutorial and in the function examples abundance data are used. I consulted the articles by De Cáceres 2009 and 2010 which mention the possibility of indicator species for presence-absence data but it does not become clear to me if they are automatically implemented in the function or if specific options are needed. An important information is that the ecoregions were defined through interpolation of beta dissimilarity metrics (simpson index) and k-means classification. Is it possible that they are different but do not have indicator species? Thanks for any thoughts, Sincerely, Alexandre -- Dr. Alexandre F. Souza Professor Associado Chefe do Departamento de Ecologia Universidade Federal do Rio Grande do Norte CB, Departamento de Ecologia Campus Universitário - Lagoa Nova 59072-970 - Natal, RN - Brasil lattes: lattes.cnpq.br/7844758818522706 http://www.esferacientifica.com.br https://www.youtube.com/user/alexfadigas http://www.docente.ufrn.br/alexsouza orcid.org/0000-0001-7468-3631 <http://www.docente.ufrn.br/alexsouza> [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
