Isha Patil Latest answer
Answered on Nov 30, -0001
The approach we can usually use is to manipulate the factor values so we can plug them into the hcl() function.
First, some raw data:
library(tidyverse)
raw_data <-
diamonds %>%
filter(price < 500>%
mutate(
factor = factor(color),
intensity = cut,
interaction = paste(factor, intensity)
)
Next use this kind of wrangling to get hex colors:

Now we can plot it
ggplot(df, aes(x, y, color = interaction)) +
geom_count() +
facet_wrap(~factor) +
scale_color_manual(
values = color_values$hex,
labels = color_values$interaction
) +
guides(color = guide_legend(override.aes = list(size = 5)))
