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...TMRT <- mvpart(abundance ~ .,factors,margin=0.08,cp=0,xv="1se",xval=nrow(abundance),xvmult=100,which=4) where abundance is 4th root transformed fish abundance (103 species x 168 samples), and factors is the relief (high, medium, low profile, sand inundated reef, flat), benthos (coral, sessile inverts, kelp, macroalgae, seagrass, sand), depth (continuous in meters), latitude, and longitude of each sample. To try and incorporate spatial autocorrelation (as a covariate) into this I have been trying the command - ABUNDTMRT <- mvpart(abundance ~ environ + spatial, data.frame,margin=0.0...

Dear R, I am using stepwise multiple glm to select a subset of variables using the step command. My question is how do you calculate the percentage variance for each parameter in the reduced model. An example of my code thus far is, fit<-glm(Abalone~offset(Area)+Sessile invertebrates+Bare rock+ NCA + Encrusting red algae, family = poisson ()) step(fit) fit1<-glm(Abalone~offset(Area)+Bare rock+NCA+Encrusting red algae, family=poisson()) Thanks in advance Beth Strain _________________________________________________________________ What are you waiting for?...