On Thu, Jun 7, 2012 at 9:30 AM, Tim Smith <tim_smith_666 at yahoo.com> wrote:
Hi,
Here is the corrected code:
library(ggplot2)
ids <- paste('id_',1:3,sep='')
before <- sample(9)
after <- sample(1:10,9)
dat <- as.matrix(cbind(before,after))
rownames(dat) <- rep(ids,3)
position <- c(rep(10,3),rep(13,3),rep(19,3))
mdat <- cbind(melt(dat),position)
colnames(mdat) <- c('ID','Treatment','value','position')
ggplot(mdat, aes(position, value)) + geom_point(aes(colour = Treatment)) +
geom_rug(subset = .(position < 14),aes(y=NULL),color="orange") +
geom_rug(subset = .(position > 14),aes(y=NULL),color="black")
Here's one way:
ggplot(mdat, aes(position, value)) + geom_point(aes(colour = Treatment)) +
geom_rug(subset = .(position < 14),aes(y=NULL, color="<14") +
geom_rug(subset = .(position > 14),aes(y=NULL, color=">14") +
scale_colour_manual(values = c("<14" = "orange", ">14" = "black")
Hadley
Assistant Professor Department of Statistics / Rice University http://had.co.nz/