Hi, I am comparing the observed and fitted values of my GAM model, which includes the explanatory variables: longitude, depth, ssh, year and month. When I compare observed and fitted values for longitude, depth and ssh it works. But when I try to do it for month and year (which are as factors in the GAM model) it doesn't work. My observed and fitted values are exactly the same.. How is that possible? Thanks
> Obs_factor1<-aggregate(x=albdata$turtles,by=list(albdata$Year),FUN=mean) > names(Obs_factor1)=c("Bin","Observed") > Obs_factor1 Bin Observed 1 1997 0.017094017 2 1998 0.010652463 3 1999 0.023000000 4 2000 0.017167382 5 2001 0.030465950 6 2002 0.007446809 7 2003 0.010568032 8 2004 0.011450382 9 2005 0.016270338 10 2006 0.017006803 11 2007 0.030969031 12 2008 0.066455696 > Fit_factor1<-aggregate(x=predict(gam.def.lon,type="response"),by=list(albdata$Year),FUN=mean) > names(Fit_factor1)=c("Bin","Fitted") > Fit_factor1 Bin Fitted 1 1997 0.017094017 2 1998 0.010652463 3 1999 0.023000000 4 2000 0.017167382 5 2001 0.030465950 6 2002 0.007446809 7 2003 0.010568032 8 2004 0.011450382 9 2005 0.016270338 10 2006 0.017006803 11 2007 0.030969031 12 2008 0.066455696 [[alternative HTML version deleted]]
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