ggridges: peak heights proportional to quantities

Question

Would anyone know if it’s possible, using the ggridges, make the heights proportional to the quantities?

Follow the example:

The problem is that the summit height of the first element, A624, with a value of 5,504, appears to be the same as the last element, A674, with a value of 21. It would be possible to make these peaks proportional to these values in the y axis?

Follows the code used

library(ggplot2)
library(ggridges)
library(dplyr)

    dt <- read.csv("https://raw.githubusercontent.com/ronycoelho/databases/master/data_councils.csv")
    
    # Count each element
    councils_qt <- dt %>% 
      count(councils) %>% 
      arrange(desc(n)) %>% 
      mutate (councils_qt = paste0(councils, " (", n, ")"))
    
    # Join to make labels
    dt <- dt %>% 
      full_join(councils_qt)
    
    ggplot(dt, aes(x=years, 
                   y=reorder(councils_qt, -years, FUN = mean)))+
        geom_density_ridges()

I’ve tried to put y as numeric and use the argument height. This argument even transforms the dice proportionally, but disfigures the ridges.

    ggplot(dt, aes(x=years, 
                   y=reorder(n, -years, FUN = mean),
                   height = n ))+
        geom_density_ridges()

Would anyone suggest a way out?

Answer 1

You can do it using height = ..count.. and geom_density_ridges(stat = "density")

ggplot(dt, aes(x=years, 
               y=reorder(councils_qt, -years, FUN = mean),
               height = ..count..)) +
  geom_density_ridges(stat = "density")