2D Kernel density of class ratio?

tidyverse
,
1

I have a dataset with lat/long coordinates and a binary class of interest.

# Simulating the dataset
df <- tibble(x = rnorm(100),
             y = rnorm(100),
             class = rbernoulli(100))

Now, my objective is to visualize how the rate of class == 1 varies in the 2D space defined by x and y. I'm aware of:

# Density of points
ggplot(df) + 
  geom_density_2d(aes(x = x, y = y))

But I would need to do the same plot with the percentage of class == 1. instead of the density of points itself. It would be basically the ratio of density corresponding to class == 1 by the density corresponding to the whole dataset.

Is there a way to maybe tweak stat_density_2d() in order to achieve that goal? Or alternatively, is there any method to obtain this plot?

2

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