My data set consist of number of calls (lcin) across Day. I am looking for activity differences between three features (4 sites per feature). I am also looking for peaks of activity across time (Day). I am using a gamm since I believe these are nonlinear trends with nested data.
gammdata<-gamm(lcin~Temp+s(Day)+fType+wind+fFeature+Forest+Water+Built, list=fSite,data=data, family=gaussian) summary(gammdata$gam) summary(gammdata$lme) anova(gammdata$gam) I can see which variables are significant but I was wondering if there was a way to do a post hoc to see differences between features? Or is there a way to compare different models (feature) for significance (not best fit) against each other? Thanks, Rham -- View this message in context: http://r.789695.n4.nabble.com/Gamm-and-post-comparison-tp4411366p4411366.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
