Alec Stephenson Department of Statistics Macquarie University NSW 2109, Australia
>>> Joseph LeBouton <[EMAIL PROTECTED]> 08/20/04 10:28am >>> Alec, Thanks for your reply. I guess what I'm getting at is that I to plot the histogram such that the HEIGHT of each bar represents the proportion of that class in the sample. From your reply I gather that the AREA of each bar is currently representing the proportion. My current work-around is to not plot the histogram immediately; I set it up (with plot=F), divide h$density by 10, then plot h; x <- runif(100,0,1) h <- hist(x, freq=F, plot=F) h$density <- h$density/10 plot(h, freq=F) while this is up to my normal hacking modus operandi, it's not terribly efficient. Is there another way to do that? Or is what I'm trying to do a perceptually and/or statistically incorrect way to think about histograms? Quick responses to each sentence in this paragraph: 1) Seems perfectly fine to me. 2) Not that I know of. 3) A histogram can be thought of as a density estimate. If you change the scale on the x-axis, you are no longer plotting a histogram. Yours, Alec ______________________________________________ [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
