Hello everyone,
I've been working on my own data for a passerine habitat selection and survival study, and have been able to narrow down my model set to two competitive models (each of a single covariate, one is percent softwood cover and one is percent canopy cover) that best predict survival. Models that varied with time/NestAge ranked below the null model. I've been using the mallard example as a template for conducting my analysis, which has been pretty straightforward so far. However, I'm now trying to graph survival across values of a given covariate, but can't seem to do it. The mallard example offers an example for graphing survival with upper and lower confidence intervals across NestAge and PpnGrass by holding one of the two variables constant, though I'm not sure how I would do it solely across, say, JUST PpnGrass. If I wanted to get DSR with ucl and lcl across varying values of just PpnGrass, would I start with the the lines below? Or is it a different process entirely?
mallard.results$S.PpnGr$results$beta
PpnGrassSurvival<-mallard.results$S.PpnGr
I'll note that I have read all of the introductory chapters as well as the nest survival and RMark sections, though am not sure what to do here. I apologize if this question has already been asked/if there is any obvious answer that I'm not seeing. I could not find a thread with the same issue in the catalog.
Thank you in advance to anyone who can help me out.