Hello everyone,
First time writing here so I'm not sure how it works.. Apologies in advance if I do something wrong! I am struggling with my data in R (I'm pretty inexperienced with R as well, so it's getting a little complicated). Basically my data consists in a phylogeny and this: Species Phenotype a1 Gorilla_gorilla_gorilla 1 14.68025 Homo_sapiens 0 42.8427 Pan_paniscus 1 24.39999 Pan_troglodytes_troglodytes 1 39.34195 Macaca_mulatta 1 38.07464 Where a1 are the values of one gene's expression and phenotype is the presence (1) or absence (0) of a certain type of behaviour. I need to find a way to see the probability that the expression of the gene a1 produces the presence of the behaviour, keeping in mind the species phylogenetic relationships (after that I'll need to find a way to automatize that for the 13,035 genes left), and I've been told that I must have a p-value per gene, so after that I'll work only with the group of significant p-values. I've tried some packages, the last one was MCMCglmm but I don't know if I'm in the correct direction or if there's an easier way to get there... Thank you very very much in advance, Best wishes, Alba The University of Lincoln, located in the heart of the city of Lincoln, has established an international reputation based on high student satisfaction, excellent graduate employment and world-class research. The information in this e-mail and any attachments may b...{{dropped:16}} _______________________________________________ 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/