Hi Yang,
Strategies for dealing with overplotting include transparency, size,
and jittering. In your example you'll probably need all three.
m + geom_point(aes(x = expo, y = ze, shape = type),
size = 1, alpha = .2, position = position_jitter(width = 0, height
= 5)) + geom_density()
seems to work OK.
Best,
Ista
On Tue, Jul 5, 2011 at 8:46 PM, Yang Lu <yang...@williams.edu> wrote:
>
> Hi all,
>
> I am trying to plot a weighted density plot for two different types and want
> to show the data points on the x axis.
>
> The code is as follows. The data points are very concentrated. Is there a
> better way to present it( should I set the alpha value or something else)?
>
> Thanks!
>
> YL
>
> library(ggplot2)
>
> x <- rnorm(10000)
>
> a <- rnorm(5000)
>
> b <- rnorm(5000)
>
> weights.x <- abs(a/sum(a))
>
> weights.y <- abs(b/sum(b))
>
> weight <- c(weights.x, weights.y)
>
> ze <- rep(0,10000)
>
> type <- c(rep("a",5000), rep("b",5000))
>
> d <- data.frame(expo = x, weight = weight, type = type, ze = ze)
>
> m <- ggplot(d, aes(x = expo, group = type, col = type, weight = weight))
>
> m+geom_density()+geom_point(aes(x = expo, y = ze, shape = type))
>
> ______________________________________________
> 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.
--
Ista Zahn
Graduate student
University of Rochester
Department of Clinical and Social Psychology
http://yourpsyche.org
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