[R] Violin plot for discrete variables.
Liaw, Andy
andy_liaw at merck.com
Mon Mar 21 14:14:20 CET 2005
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: witek96 at users.sourceforge.net m m
> Phone : 044 (0)191 222 5376
> FAX : 044 (0)191 222 8020
>
> ______________________________________________
> R-help at 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
>
>
>
More information about the R-help
mailing list