Many thanks! César PhD. César Aguilar Puntriano Jefe del Departamento de Herpetología, Museo de Historia Natural, UNMSM https://www.researchgate.net/profile/Cesar_Puntriano/stats
On Tue, Oct 27, 2020 at 4:42 PM Mike Collyer <[email protected]> wrote: > Dear Colleagues, > > We wish to alert you to a new article, introducing phylogenetically > aligned component analysis, currently in early release form: > > Collyer, M.L. and D.C Adams. 2020 (in press). Phylogenetically aligned > component analysis. Methods in Ecology and Evolution. > > If you do not have access to MEE, we have a link to the accepted article > and supporting information here > <https://www.researchgate.net/publication/344900621_Phylogenetically_Aligned_Component_Analysis>. > (Or paste > https://www.researchgate.net/publication/344900621_Phylogenetically_Aligned_Component_Analysis > in > your web browser.) > > Phylogenetically aligned component analysis (PACA) is an ordination method > similar to principal component analysis (PCA), but aligns data to maximum > phylogenetic signal rather than maximum variance. In conjunction with PCA > (or phylogenetic PCA), PACA provides a tool for visualizing phylogenetic > signal in multivariate data, even if other signals (e.g., allometry, > ontogenetic, ecological) might obscure phylogenetic signal in PCA. > > We make PACA available to GM users in the RRPP and geomorph R packages, > with RRPP::ordinate and geomorph::gm.prcomp functions. These functions > allow users to align data to either principal or phylogenetically aligned > vectors, optionally transform data by phylogenetic covariances, project > ancestral states and phylogenetic tree edges into a plot, and evaluate the > amount of covariance between data and phylogeny, by vector. Additionally, > the physignal function in geomorph provides $PACA output, along with the > amount of cumulative phylogenetic signal, by vector, which can inform if > phylogenetic signal is especially strong in certain data dimensions. > > We recommend installing the latest versions of RRPP and geomorph via > Github; i.e., > > devtools::install_github(“mlcollyer/RRPP”, build_vignettes = TRUE) > devtools::install_github(“geomorphR/geomorph”, ref = “Stable”, > build_vignettes = TRUE) > > Happy computing! > > Mike Collyer and Dean Adams > > -- > You received this message because you are subscribed to the Google Groups > "Morphmet" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to [email protected]. > To view this discussion on the web visit > https://groups.google.com/d/msgid/morphmet2/AC2158F3-4CD2-4416-BEE0-ABECD864CE41%40gmail.com > <https://groups.google.com/d/msgid/morphmet2/AC2158F3-4CD2-4416-BEE0-ABECD864CE41%40gmail.com?utm_medium=email&utm_source=footer> > . > -- You received this message because you are subscribed to the Google Groups "Morphmet" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/morphmet2/CACtaktfJ2_ZmzrTOD3FoCh5PQCtLRNehEMV_mV-Yu2QBM%2BkGoA%40mail.gmail.com.
