How can I anticipate the proportion of points within the contours generated by stat_density_2d?
For example creating 50 random points
set.seed(2)
points <- tibble(x = rnorm(50), y = rnorm(50))
And then ploting density contours
ggplot(points, aes(x = x, y = y)) +
xlim(c(-3, 3)) +
ylim(c(-3, 3)) +
geom_point() +
stat_density_2d(bins = 5)
Within the first contour there are 11 points (about 22%). The next contours adds about 16 (so now 54% total). And so on...
Is there a way to anticipate the proportion within a contour? I would be interested in finding the contour which contains x%. Obviously I can draw many contours and check each of them, but I was wondering if there is another solution.
