I'd suggest dotcharts, such as: x1 <- sample(letters[1:4], 100, replace=TRUE, prob=c(.2, .3, .4, .1)) x2 <- sample(letters[1:4], 100, replace=TRUE, prob=c(.1, .4, .3, .2)) f1 <- table(x1) / length(x1) f2 <- table(x2) / length(x2) lev <- factor(c(names(f1), names(f2))) require(lattice) dotplot(lev ~ c(f1, f2), groups=rep(1:2, c(length(f1), length(f2))), panel=panel.superpose)
HTH, Andy > From: Witold Eryk Wolski > > Dear Rgurus, > > To my knowledge the best way to visualize the distribution of > a discrete > variable X is > plot(table(X)) > > The problem which I have is the following. I have to discrete > variables > X and Y which distribution I would like to compare. To overlay the > distribution of Y with lines(table(Y)) gives not satisfying results. > This is the same in case of using density or histogram. > > Hence, I am wondering if there is a equivalent of the vioplot > function > (package vioplot) for discrete variables > which starts with a boxplot and than adds a rotated > plot(table()) plot > to each side of the box plot. > > Maybee I should ask it first: Does such a plot make any sense? If not > are there better solutions? > > cheers > Eryk. > > > -- > Witold Eryk Wolski > __("< School of Mathematics and Statistics _ > \__/ University of Newcastle 'v' > || Newcastle upon Tyne, NE1 7RU, ENGLAND / \ > ^^ mail: [EMAIL PROTECTED] m m > Phone : 044 (0)191 222 5376 > FAX : 044 (0)191 222 8020 > > ______________________________________________ > R-help@stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! > http://www.R-project.org/posting-guide.html > > > ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html