On 06/21/2012 07:06 PM, Chris Mcowen wrote: > Dear List, > > > > I am wondering if the methodological approach I am taking is correct and > would be very grateful if people could comment and make suggestions, much > appreciated. The simple answer is no it isn't: <http://gking.harvard.edu/files/mist.pdf> > > > I have developed the best model ( AIC model selection) using oceanographic > data ( i.e. SST, chlorophyll, NPP...x6) to predict reported fisheries catch > for 52 countries. > > > > I then extract the residuals from the model and anything positive has a > higher catch than would be predicted given the level of productivity in the > country, with the opposite being true. > > > > What I want to do is: > > > > 1. Regress a suite of ecological and socioeconomic variables against > the residuals from the oceanographic model to determine which factors cause > some countries to be above and some below. I.E as trophic level increase the > residuals become increasingly negative. You could simply put everything into one big model. > 2. Ideally ( and I am unsure how or if it is possible) work out for > each country which variables/s cause the poor fit of that country to the > oceanographic model.
Try using partial residuals (http://en.wikipedia.org/wiki/Partial_residual_plot). Bob -- Bob O'Hara Biodiversity and Climate Research Centre Senckenberganlage 25 D-60325 Frankfurt am Main, Germany Tel: +49 69 798 40226 Mobile: +49 1515 888 5440 WWW: http://www.bik-f.de/root/index.php?page_id=219 Blog: http://blogs.nature.com/boboh Journal of Negative Results - EEB: www.jnr-eeb.org [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
