Showing error distributions in a point plot

Search for "violin plots"  at rseek.org [1].
There is a whole package devoted to them, many packages provide them,
and there is a geom_violin in ggplot2.

Don't know if this satisfies your aesthetic sensibilities, of course.
That's for you to decide.

Cheers,
Bert

Bert Gunter

"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )

On Mon, Jan 11, 2021 at 7:42 AM <phil at philipsmith.ca> wrote:

I have a point plot where the estimated points have normally
distributed
errors and I want to plot not just the estimated points, but also an

indication of the range of uncertainty in each case. The usual way
of
doing this, I believe, is with geom_pointrange, as shown in my
reprex.
However, this suggests to the eye that the errors are uniformly
distributed when in fact they are normally distributed. I would
prefer
to show bell curves instead of straight lines. As far as I have been

able to determine, there is no R package to help in doing this. I
would
appreciate suggestions as to how best to proceed.

Philip

# Reprex for error distributions
library(ggplot2)
df <- data.frame(x=1:10,y=rnorm(n=10))
ggplot(df)+
geom_point(aes(x=x,y=y))+
geom_hline(yintercept=0)+
geom_pointrange(aes(x=x,y=y,ymin=y-sd(y),ymax=y+sd(y)))

Links:
------
[1] http://rseek.org