median line colored differently from 25th, 75th percentile

[higgi13425]

This one may already be solved.

[clauswilke]

Yes, I pushed a basic implementation earlier today. Need to think it over for a while to make sure I didn't forget anything. Also, if you could try it out and provide feedback that would be great.

ggplot(iris, aes(x = Sepal.Length, y = Species, vline_color = ..quantile..)) +
  geom_density_ridges(calc_ecdf = TRUE, quantile_lines = TRUE)

ggplot(iris, aes(x = Sepal.Length, y = Species, vline_color = ..quantile..)) +
  geom_density_ridges(calc_ecdf = TRUE, quantile_lines = TRUE) +
  scale_discrete_manual("vline_color",
                        values = c("blue", "red", "blue", "black"), 
                        breaks = c(1, 2),
                        labels = c("1st & 3rd quartile", "median"),
                        name = NULL)

[clauswilke]

I have removed the need for calc_ecdf = TRUE. This should work now.

ggplot(iris, aes(x = Sepal.Length, y = Species, vline_color = ..quantile..)) +
  geom_density_ridges(quantile_lines = TRUE)

[lbenz730]

I get the following error when I try and copy your code above.

Picking joint bandwidth of 0.181
Error in FUN(X[[i]], ...) : object 'quantile' not found

[clauswilke]

Are you running the latest development code?

[lbenz730]

Ah thanks! I was using the version on CRAN. Things now work as they should!