Hi r-help-boun...@r-project.org napsal dne 15.04.2011 16:20:23:
> Hi, > > I am a complete newcomer to R and although I can plot standard box-plots I am > struggling with this... > > I have two treatments - A & B, and 2 variables 1 & 2. I want to compare > boxplots of variable 1 with variable 2 for each treatment. I would also like > them to all be on the same graphic. > > I would like treatment to be on the x axis (A and B) and above A and B have > their corresponding boxplots for both variables.I would also like 2 seperate > y-axes, one for each variable - Variable 1 has a continuous y axis, and > variable 2 is a percentage (of variable 1 in-fact, not that this should make a > difference). > > It would also be helpful if the boxplots were a different colour for each > variable and that this corresponded somehow to the relevant axis. Or if > someone can think of another way to show which treatment each boxplot is that > would be gratefully recieved > Here is one option x<-rnorm(10) y<-rnorm(10)+5 trt<-sample(letters[1:2], 10, replace=T) df<-cbind(c(x,y), rep(trt,2), rep(c("v1","v2"), each=10)) df<-as.data.frame(df) df[,1]<-as.numeric(as.character(df[,1])) boxplot(split(df[,1], interaction(df[,2], df[,3]))) however you have only one y axis. Similar result but better structured you can get using ggplot2 or lattice packages. Having 2 y axes is rather confusing but you can scale your values and add axis annotation with axis(....) but I doubt it is worth an effort. Regards Petr > Hope this makes sense and isn't too much of a pain to answer! > > Thanks in advance > Dave > > > [[alternative HTML version deleted]] > > ______________________________________________ > 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.