how to best present concentrated data points/ ggplot2
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.Lu at 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))
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-- Ista Zahn Graduate student University of Rochester Department of Clinical and Social Psychology http://yourpsyche.org