On 7/11/07, Bert Gunter <[EMAIL PROTECTED]> wrote: > Deepayan et. al.: > > A question/comment: I have usually found that the subscripts argument is > what I need when passing *external* information into the panel function, for > example, when I wish to add results from a fit done external to the trellis > call. Fits[subscripts] gives me the fits (or whatever) I want to plot for > each panel. It is not clear to me how the panel layout information from > panel.number(), etc. would be helpful here instead. Am I correct? -- or is > there a smarter way to do this that I've missed?
subscripts is absolutely the right thing to use if your auxiliary information is in the form of vectors than have the same length as the rest of your data. Examples would include a color for every point in a xyplot or confidence bounds in a dotplot. However, sometimes your external information might be a summary; say the parameters defining a fitted curve for every combination of your conditioning variables (and the underlying model might have shared information across combinations, so you wouldn't be able to compute them from the panel data alone). In that case, which.packet(), which gives you the levels of the conditioning variables defining the current panel, may be helpful. Of course, there are workarounds using subscripts, or in this example, adding rows to your data frame containing the fitted values. The accessors are a convenience that sometimes make life simpler. -Deepayan ______________________________________________ R-help@stat.math.ethz.ch 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.