On Mon, Jul 6, 2009 at 8:22 PM, Mark Knecht<markkne...@gmail.com> wrote: > Hi, > In the examples from the ReShape package there is a simple example > of using melt followed by cast that produces a smallish amount of > output about the chicks database. Here's the code: > > library(reshape) > > names(ChickWeight) <- tolower(names(ChickWeight)) > chick_m <- melt(ChickWeight, id=2:4, na.rm=TRUE) > DietResults <- cast(chick_m, diet + chick ~ time) > DietResults > > My challenge is to extract an plot only a portion of this data. > > I would like to plot the data for each chick that participated in > diet 1 only. Assume that the numbered column names (0,2,4, ...) > represent time on the diet and will be the X axis. Y values on the > plot will be the value in the table. (chick weight) Y maximum should > be larger than the max value in the diet 1 portion of the table. > Additionally if a chick's number is even I would like to plot it's > results in green, if it's odd then plot in red. The plot should use a > line type so that in the general case I could trace an individual > chick's progress on the diet. I don't care if I use plot vs any other > command that would make a plot with colored lines. I would *prefer* > that the code discovers where in DietResults the column entitled "0" > is as I don't know where the beginning of the data will be based on > how many variables I bin for in cast.
Generally, I think it's easier to work with longitudinal data with time as its own column. It makes plotting and analysis much easier: library(ggplot2) qplot(time, value, data = chick_m, group = chick, colour = as.numeric(as.character(chick)) %% 2, geom = "line") It's far easier to see what's going on: * on the x-axis, time * on the y-axis, value (weight) * grouped by chick 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.
