Hello Gabriel, If I understand it correctly you're looking for an 'intercept only' model (e.g., gls(x~1,...)). The rationale for doing so would be to assess the 'phylogenetic signal' in your trait 'x'. It will be somehow similar to using functions such as, for instance, fitContinuous in geiger.
Regards, Julien De : R-sig-phylo <r-sig-phylo-boun...@r-project.org> de la part de Gabriel Ferreira <spangh...@gmail.com> Envoyé : jeudi 27 mai 2021 03:30 À : r-sig-phylo@r-project.org <r-sig-phylo@r-project.org> Objet : [R-sig-phylo] If my trait X cannot be regressed by body size, how can I rescue residuals corrected by the phylogeny and SE? Hello all, My questions follows this succinct introduction: I have a data frame composed of: species, trait X values (means) and SE of trait X for each species; AND the phylogeny with branch length of the species. I would like to know if it is possible to create residuals of the distribution of trait X that "correct" by the phylogenetic relationship and SE ?? My rationale followed the fact that its possible to create residuals that includes SE and the phylogenetic relationship when a trait X is regressed, for example by body size, therefore using something like: USING *gls* from *nlme*: gls(trait X ~ body size, correlation=corPagel(1, phy=tree), data=data, method = "ML", weights= SE) WHERE SE <- varFixed (~1/sqrt(traiX_SE)) But, if my trait X cannot be regressed by body size, how can I rescue residuals corrected by the phylogenetic relationship and SE? Does it make sense? Thanks in advance!Hello all, My questions follows this succinct introduction: I have a data frame composed of: species, trait X values (means) and SE of trait X for each species; AND the phylogeny with branch length of the species. I would like to know if it is possible to create residuals of the distribution of trait X that "correct" by the phylogenetic relationship and SE ?? My rationale followed the fact that its possible to create residuals that includes SE and the phylogenetic relationship when a trait X is regressed, for example by body size, therefore using something like: USING *gls* from *nlme*: gls(trait X ~ body size, correlation=corPagel(1, phy=tree), data=data, method = "ML", weights= SE) WHERE SE <- varFixed (~1/sqrt(traiX_SE)) But, if my trait X cannot be regressed by body size, how can I rescue residuals corrected by the phylogenetic relationship and SE? Does it make sense? Thanks in advance! Gabriel [[alternative HTML version deleted]] _______________________________________________ R-sig-phylo mailing list - R-sig-phylo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/r-sig-phylo@r-project.org/ _______________________________________________ R-sig-phylo mailing list - R-sig-phylo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/r-sig-phylo@r-project.org/
