On 2010-12-11 16:47, Felix Andrews wrote:
On 12 December 2010 00:08, Peter Ehlers<ehl...@ucalgary.ca> wrote:
[...snip...]
The idea is the same: you need to get your data into "long" format with a grouping variable and then use the 'groups' argument to xyplot. Here's fake data frame (you should have provided one): DF<- data.frame(y1 = rnorm(30), y2 = rnorm(30) + 2, x = rep(1:10, 3), sites = gl(3, 10, lab=LETTERS[1:3])) ## Use the reshape2 package to melt the data: ## (or use reshape() in base R) require(reshape2) DF1<- melt(DF, measure.vars = c('y1', 'y2'), variable.name = 'grp', value.name = 'y') ## and plot: require(lattice) p<- xyplot( y ~ x | sites, data = DF1, groups = grp, col = c("red", "blue"), type = "b") print(p) Peter EhlersBy the way, in this particular case there is a shortcut which does the reshaping internally: xyplot(y1 + y2 ~ x | sites, DF, type = "b")
Right; thanks for the reminder, Felix. I keep forgetting about that mainly because I almost always need 'long' data. Peter Ehlers [...snip...] ______________________________________________ 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.
