[R] Showing error distributions in a point plot

[phii m@iii@g oii phiiipsmith@c@]

Yes, geom_violin does the trick. Thanks for your fast and useful reply, 
Bert.

Philip

On 2021-01-11 11:05, Bert Gunter wrote:
> 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 using 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)))
>> 
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> 
> 
> Links:
> ------
> [1] http://rseek.org