Emma: 1. I don't know what you mean by "empirical density of the data." I'm pretty sure that overlaying 50, say, kernel density estimators (with the same kernels?) would produce a completely useless mess. Ditto, I would think, for anything that looks something like a kernel density (histograms, frequency polygons, etc.).
2. You might be able to see something using empirical cumulative distribution functions (?ecdf), so I suggest you consider that instead. 3. Better yet, as was suggested by Max Kuhn, try lattice plots of ecdf's (or possibly kernel density estimators) with the lattice arrangement determined by factors of interest or ordered by some useful summary statistic (e.g. median) of the distributions. Or perhaps use qqmath if the data come from some known distributional form (Gaussian, gamma, ...). Ordering the lattice plots in an informative way can reveal a great deal more. 4. Thinking more carefully about what you want to show and what you want to learn from these plots should help you decide what to do. Then you can use R to do it (usually easily). -- Bert Gunter Genentech Non-Clinical Statistics South San Francisco, CA "The business of the statistician is to catalyze the scientific learning process." - George E. P. Box > -----Original Message----- > From: [EMAIL PROTECTED] > [mailto:[EMAIL PROTECTED] On Behalf Of emma hartnett > Sent: Wednesday, September 21, 2005 8:58 AM > To: [email protected] > Subject: [R] Multiple density plots on 1 graph > > I want to overlay 50 denisty plots on a single plot. > For each plot there are 10,000 data points and i want > the empirical density of the data. I have not been > able to find an easy way to achieve this (I have > scoured the manula and website so sorry if I missed > it!), does anyone have any suggestions? > > Thankyou. > > ______________________________________________ > [email protected] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! > http://www.R-project.org/posting-guide.html > ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
