The idea to use blurs for confidence intervals is great. But I fear result shown here : https://ggfx.data-imaginist.com/articles/geoms.html for confidence intervals is not useful (sorry, I don't want to be harsh).
To explain:
Blurring should result in a figure in which regions with the same confidence interval level have the same color density/opacity/brightness.
Some thing like this, just smoother:
p = ggplot(mpg, aes(displ, hwy))
for (l in seq(5,95,5)/100)
p = p + geom_smooth(level = l, alpha = .1, fill = "blue", method = "loess", size = 0)
p
I know it is not useful. I'd be hard pressed to point to any of the examples in the documentation that shows a best practice. The purpose is to show how to use the API, not to educate on data viz🙂
The idea to use blurs for confidence intervals is great. But I fear result shown here : https://ggfx.data-imaginist.com/articles/geoms.html for confidence intervals is not useful (sorry, I don't want to be harsh).
To explain: Blurring should result in a figure in which regions with the same confidence interval level have the same color density/opacity/brightness.
Some thing like this, just smoother: p = ggplot(mpg, aes(displ, hwy)) for (l in seq(5,95,5)/100) p = p + geom_smooth(level = l, alpha = .1, fill = "blue", method = "loess", size = 0) p
cheers - Guido