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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