Hello, I am branching out to xyplot for the first time, and I want to layer several "complex" xyplots. I have tried using panel functions, but so far I lose all complexity from the scatterplot. I would like to have the following things in the plot:
1) A plot of observation vs. modeled individual prediction, by treatment arm, with each subjects' points connected by lines. xyplot(Observation,IPrediction,groups=TreatmentArm,type="b",col=c(1,2,3),cex=0.7) 2) Over the former, I would like to add loess smoothers. I am able to do this in the former with "type=c("b","smooth"), but I would like to differentiate the smoothers from the rest of the plot with thicker line widths, and possibly colors. 3) Also over the former, I would like to add a simple abline(0,1). I can add this, but not also the loess and treatment arm differences with "panel=function(x,y){}, but cannot figure out to keep all the former complexity. Basically, I am trying to recreated the four basic diagnostic plots from "xpose4", but adding color for treatment differences. Any help would be appreciated! [[alternative HTML version deleted]] ______________________________________________ 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.