Dear all, I have the following experimental design: 9 mice (mouseID) were assigned to three different treatments (3 mice per treatment level) and we estimated the composition of microbial species in the gut at 5 time points (same time points for each mouse). I would like to know if the community differs between the 3 treatment levels and I am not really interested in the treatment*time interaction, but I would like to take into account that the samples are not independent. I was thinking of using adonis from the R vegan package to test for this, but I have doubts as to what is the best way of setting the model? I have looked through the answers on the list (particularly the replies form Stephen Brewer) and have seen a the model formulated as: *adonis(matrix~treatment + mouseID,data=data,strata=mouseID)* But it is unclear to me why the "random" variable needs to be included in the fixed effects and why should we not simply use: *adonis(matrix~treatment,data=data,strata=mouseID)* Any thoughts on this would be of great help, Ramiro
Permanova for microbiome analysis with repeated measures
1 message · Ricardo Ramiro