PLS can be performed in pls package while varpart in vegan package however...could you explain a little bit better the specific hypothesis you want to test?
Different methods are suited in dependence of the explicit hypothesis you set. ________________________________ Da: eliot.is...@gmail.com <eliot.is...@gmail.com> per conto di Eliot Miller <eliotmil...@umsl.edu> Inviato: venerd? 14 marzo 2014 15.19 A: Paolo Piras; highs...@highstat.com Cc: r-sig-ecology@r-project.org Oggetto: Re: [R-sig-eco] Comparing results of two CCAs The partial least squares sounds really promising, thanks. I now need to go read about and try some tests with it. If you or anyone else has a preferred implementation of this in R I'd be interested in hearing about it! Alain--can you elaborate on how I might be able to use variance partitioning? I haven't used either of these methods before, but reading about it it sounds intended to quantify the amounts of variation in a single matrix explained by multiple matrices. I'm probably missing something. If you could explain more I'd be very interested. Thanks for your help! Eliot On Fri, Mar 14, 2014 at 2:16 AM, Paolo Piras <paolo.pi...@uniroma3.it<mailto:paolo.pi...@uniroma3.it>> wrote: Hi, maybe partial least squares: you can run two separate partial least squares analyses and then comparing vectors. best paolo ________________________________________ Da: r-sig-ecology-boun...@r-project.org<mailto:r-sig-ecology-boun...@r-project.org> <r-sig-ecology-boun...@r-project.org<mailto:r-sig-ecology-boun...@r-project.org>> per conto di Eliot Miller <eliotmil...@umsl.edu<mailto:eliotmil...@umsl.edu>> Inviato: venerd? 14 marzo 2014 05.50 A: r-sig-ecology@r-project.org<mailto:r-sig-ecology@r-project.org> Oggetto: [R-sig-eco] Comparing results of two CCAs I have four datasets: morphological measurements for a set of species (M1), ecological measurements for the same set of species (E1), morphological measurements for a second set of species (M2), and ecological measurements for this second set of species (E2). I am interested in finding the linear combinations of variables between M1 and E1, and between M2 and E2. That is, I'd like to know what combinations of morphological measurements are associated with what combination of ecological measurements--for each set of species separately. This seems like a good use of CCA (two separate CCAs). But here's where things get tricky for me. I'd like to see whether the same linear combinations from one set of species do a good job of explaining the variation in the second set of matrices. And I'd like to see how they differ, if possible...e.g. yes the canonical function from the first CCA does explain some of the variation in the second, but a different function could do a lot better. Is this making any sense? I could see simply running these as two separate CCAs, then comparing the results qualitatively. But that doesn't seem very rigorous. Should I be considering some other approach entirely? Thanks for any input! [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list R-sig-ecology@r-project.org<mailto:R-sig-ecology@r-project.org> https://stat.ethz.ch/mailman/listinfo/r-sig-ecology [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
