Is there a built-in way to do a logarithmic color scale in ggplot2?

Question

Here's an example of a binned density plot:

library(ggplot2) n <- 1e5 df <- data.frame(x = rexp(n), y = rexp(n)) p <- ggplot(df, aes(x = x, y = y)) + stat_binhex() print(p) 

It would be nice to adjust the color scale so that the breaks are log-spaced, but a try

my_breaks <- round_any(exp(seq(log(10), log(5000), length = 5)), 10) p + scale_fill_hue(breaks = as.factor(my_breaks), labels = as.character(my_breaks)) 

Results in an Error: Continuous variable () supplied to discrete scale_hue. It seems breaks is expecting a factor (maybe?) and designed with categorical variables in mind?

There's a not built-in work-around I'll post as an answer, but I think I might just be lost in my use of scale_fill_hue, and I'd like to know if there's anything obvious I'm missing.

Answer 1

Yes! There is a trans argument to scale_fill_gradient, which I had missed before. With that we can get a solution with appropriate legend and color scale, and nice concise syntax. Using p from the question and my_breaks = c(2, 10, 50, 250, 1250, 6000):

p + scale_fill_gradient(name = "count", trans = "log",                         breaks = my_breaks, labels = my_breaks) 

My other answer is best used for more complicated functions of the data. Hadley's comment encouraged me to find this answer in the examples at the bottom of ?scale_gradient.