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...btain plots similar to 3c & f in Chaloupka & Limpus (1997)). What should I do next? >size <- seq(100,600,along.with=fitted(m1)) >grw <- fitted(m1) >bspline3 <- gam(grw~s(size, bs="cr", k=3)) >plot(grw~size,ylab="Growth (mm/yr)", xlab="Curved Carapace Length (mm)") #figure attached >lines(fitted(bspline3)~size, lwd=2) Thank you very much for any help! Claudia

...=10); plot(turtle.rtree); text(turtle.rtree) Error in terms.formula(formula, data = data) : '.' in formula and no 'data' argument When I switch response for predictor, it works. But this is the opposite of what I wanted to test and gives me splits at abundance values, not carapace length values. > turtle.rtree<-rpart(turtle.data$Clength~., data=prey.data, method="anova", maxsurrogate=0, minsplit=8, minbucket=4, xval=10); plot(turtle.rtree); text(turtle.rtree) > I've heard polymars recommended for this sort of situation. I've downloaded the poly...