Hi Yang,
I would take a slightly different approach and use what Wilkinson
calls stripe density plots. The idea is that if you are trying to
show a univariate density on dimension 1 with many overlapping or
extremely close observations, space on dimension 1 is precious, in two
dimensions, space o
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 wo
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(
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