On Wed, Aug 17, 2011 at 11:59 PM, <mkzo...@comcast.net> wrote: > I'm trying to create a dotplot with some grouping. > > I've been able to create what I want using dotchart (basic graphics), but > can't quite get it using dotplot (lattice). I prefer to use lattice (or > ggplot2) because I think it's a bit easier to control some other aspects of > the plot appearance. > > Basically, w/ lattice I've not been able to get the y-axis label to include > the group variable. > > I'd like... > > A > 1 > 2 > B > 1 > 2 > 3 > 4 > C > 1 > 2 > 3 > > I'm getting... > 1 > 2 > 1 > 2 > 3 > 4 > 1 > 2 > 3 > > The following example code illustrates.... > > set.seed(18) > dta <- data.frame(var1=factor(c("A", "A", "B", "B", "B", "B", "C", "C", "C")), > var2=c(1,2,1,2,3,4,1,2,3), > var3=round(runif(9,1,10),1), > plotorder=9:1) > > dta > > windows(3,3) > dotchart(dta$var3[order(dta$var1, -dta$var2)], groups=dta$var1, > labels=dta$var2[order(dta$var1, -dta$var2)], cex=.75, > gcolor=c("blue", "red", "dark green"), > col=c(rep("blue",2), rep("red",4), rep("dark green",3)), > axes=NULL)
Well, the more "lattice-like" version of this would be dta$var2fac <- factor(dta$var2, levels = rev(sort(unique(dta$var2)))) dotplot(var2fac ~ var3 | var1, data=dta, groups=var1, col=c("blue", "red", "dark green"), layout = c(1, 3), as.table = TRUE, scales=list(y = list(relation = "sliced"))) But if you really want the dotchart()-like output, you can try dta$var12fac <- with(dta, interaction(var2fac, factor(var1, levels = rev(levels(var1))))) dta$var12fac <- droplevels(dta$var12fac) lab <- substring(levels(dta$var12fac), 1, 1) dotplot(var12fac ~ var3, data = dta, groups=var1, col=c("blue", "red", "dark green"), scales = list(y = list(labels = lab, col = rep(c("dark green", "red", "blue"), c(3, 4, 2)))), ylab = list(label = c("C", "B", "A"), y = c(3, 7, 9) / 9.2, rot = 0, col = c("dark green", "red", "blue"))) -Deepayan ______________________________________________ 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.