On Jan 23, 2008 10:44 AM, baptiste Auguié <[EMAIL PROTECTED]> wrote: > Hi, > > I've been trying to do the following simple thing: given a data.frame, > > > library(reshape) > > library(ggplot2) > > > > df <- data.frame(x=c(1:10),y=sin(1:10),z=cos(1:10)) > > dfm<-melt(df, id=c("x"), measured=c("y","z")) > > > i want to plot y and z against x, and add vertical errorbars to the > points corresponding to the standard deviation of y and z respectively. > > I tried the following, inspired by some previous post in the list, > > > se <- function(x) sd(x)/sqrt(length(x)) > > means <- cast(dfm, variable~., function(x) c(se = se(x))) > > > > qplot(value,x, data=means, colour=variable, min = value - se, max = > > value + se, geom=c("point","errorbar")) > > > but this fails, as I obviously don't get the philosophy behind the > "cast" function.
Could you explain a little more what you are trying to do? There is one s.e. for y and one z, but what are you trying to plot them against? Hadley -- http://had.co.nz/ ______________________________________________ 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.