search for: hms_rsctned

...ar all,? I hope that you can help me on this. I have been struggling to figure this out but I haven't found any solution. I am running a generalised mixed effect model, gamm4, for an ecology project. Below is the code for the model: model<-gamm4(LIFE.OE_spring~s(Q95, by=super.end.group)+Year+Hms_Rsctned+Hms_Poaching+X.broadleaved_woodland? ? ? ? ? ? ?+X.urban.suburban+X.CapWks, data=spring, random=~(1|WATERBODY_ID/SITE_ID)) plot(model$gam, page=1, font.lab=2, xlab="Residual Q95") I am trying to plot the results in lattice for publication purposes so I need to figure this out. I have bee...

...t;E",..: 1 1 3 3 3 2 2 2 4 4 ... $ X.urban.suburban : num 0 0 0.07 0.07 0.07 0.53 0.53 0.53 8.07 8.07 ... $ X.broadleaved_woodland: num 2.83 2.83 10.39 10.39 10.39 ... $ X.CapWks : num 0 0 0 0 0 0 0 0 0 0 ... $ Hms_Poaching : int 0 0 10 10 10 0 0 0 0 0 ... $ Hms_Rsctned : int 0 0 0 0 0 0 0 0 0 0 ... model<- gamm4(LIFE.OE_spring~s(Q95, by=super.end.group)+Year+Hms_Rsctned+Hms_Poaching+X.broadleaved_woodland +X.urban.suburban+X.CapWks, data=spring, random=~(1|WATERBODY_ID/SITE_ID)) Warning message: Some predictor variables are on very different...

...... #$ X.broadleaved_woodland: num 2.83 2.83 10.39 10.39 10.39 7.72 7.72 21.15 21.15 14.44 14.44 ... #$ X.CapWks : num 0 0 0 0 0 0 0 0 0 0 8.11 8.11 8.11 0 0 0 42.06 42.06 7.08 0.2 ... #$ Hms_Poaching : num 0 0 10 10 10 0 0 0 0 10 10 20 40 5 30 15 15 0 0 0 50 50 ... #$ Hms_Rsctned : num 0 0 0 0 0 0 0 0 0 0 2480 800 1960 1160 740 0 0 960 ... library(gamm4) model<-gamm4(LIFE.OE_spring~s(ResidualQ95, by=super.end.group)+t2(ResidualQ95, Hms_Rsctned, by=super.end.group)+Year +Hms_Poaching +X.broadleaved_woodland +X.urban.suburban +X.CapWks, data=dat, random=~(1|W...