You'll have to reshape your data so that each row corresponds to a single subject, time and measurement. I.e. something like: Subj Time variable value 1 1 Height 9 1 1 Weight 4 1 1 WBC 4 1 1 Plt 150 1 2 Height 10 1 2 Weight 5 ....
This is easy enough with reshape. Assuming your data is in data.frame df: df.m <- melt(df, id.vars = c("Subj", "Time")) Then plot: qplot(Time, value, data = df, geom = "line") + facet_grid(Subj ~ variable) Charlotte On Thu, May 6, 2010 at 11:06 AM, George Chen <glc...@stanford.edu> wrote: > > Hello, > > I am new to ggplot. Please forgive my ignorance! > > I have patient data such that each individual is a row and then the > attributes are in columns. So for example: > > Subj Time Height Weight WBC Plt > 1 1 9 4 4 150 > 1 2 10 5 6 200 > 1 3 11 6 5 250 > 1 4 12 7 3 200 > 2 1 4 2 7 300 > 2 2 5 4 8 450 > 2 3 6 6 6 300 > 2 4 8 8 5 200 > 3 1 6 6 4 455 > 3 2 8 8 5 344 > 3 3 9 9 6 544 > 3 4 10 10 3 213 > > I would like to show the data as a time course for height , weight, WBC, and > plt for each patient but in parallel and ultimately as a matrix of time > courses for all the subjects with each patient a row and the time course > graph for height weight WBC plt as individual columns. > > So something like this > Subj 1 Height time course(TC) Weight TC WBC TC Plt TC > Subj 2 Height time course(TC) Weight TC WBC TC Plt TC > Subj 3 Height time course(TC) Weight TC WBC TC Plt TC > > Ultimately I would like to be able to sort and reorder the order of the > subject rows (so each row would become like a facet). > Could somebody give me a hint as to how or where to start looking to figure > this out? I suspect it involves a layer for each time course, but how does > one move the time course for say weight over so that it does not overly that > for height? > > Thanks in advance! > > George > > ______________________________________________ > 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.