The plot you referred to depends on packages flowViz and flowCore from R-bioconductor. With lattice alone you can easily get all curves on the same level: densityplot(~ val | factor(id2), groups=factor(id1),data=a_df,pch='|')
But if that doesn't do it for you, you could write your own panel function. I don't have time to try it but I'm thinking one of these might work 1) create new ylim[1] from current.panel.limits()$ylim / number of groups dens<- density(x) use lines and polygons to draw the curves dens$x,dens$y at each new ylim level. 2) grid may come in handy here, splitting each panel into several viewports ? 3) use bwplot for "setup" but plot polygons of density (steps 2:3 from option 1) Good luck with that. Elai On Wed, Feb 22, 2012 at 3:01 PM, Manish Nag <nag...@gmail.com> wrote: > Hello, > > I am try to make a density plot where plots are stacked like the one > found here: > > http://dsarkar.fhcrc.org/lattice/book/images/Figure_14_03_stdBW.png > > I am facing problems, however. Using the code example below, I'd like > to generate a separate panel for each val of id2. Within each panel, > I'd like to have individual histograms each on separate lines based on > the value of id1. Note that the code example works fine if I use > "boxplot" instead of "densityplot". Any pointers would be much > appreciated. > > > library(lattice) > val<-rep(rnorm(10),100) > id1<-sample(c(1:5), 100, replace = TRUE) > id2<-rep(c(6:10),100, replace = TRUE) > a_df<-data.frame(cbind(id1, id2, val)) > densityplot(factor(id1) ~ val | factor(id2), data=a_df) > > -Manish > > ______________________________________________ > 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. ______________________________________________ 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.
