# NOT RUN {
# Template function for creating densities grouped by a variable
cty_by_var <- function(var) {
ggplot(mpg, aes(cty, colour = factor({{var}}), fill = factor({{var}}))) +
geom_density(alpha = 0.2)
}
# The default, scale_fill_hue(), is not colour-blind safe
cty_by_var(class)
# (Temporarily) set the default to Okabe-Ito (which is colour-blind safe)
okabe <- c("#E69F00", "#56B4E9", "#009E73", "#F0E442", "#0072B2", "#D55E00", "#CC79A7")
withr::with_options(
list(ggplot2.discrete.fill = okabe),
print(cty_by_var(class))
)
# Define a collection of palettes to alter the default based on number of levels to encode
discrete_palettes <- list(
c("skyblue", "orange"),
RColorBrewer::brewer.pal(3, "Set2"),
RColorBrewer::brewer.pal(6, "Accent")
)
withr::with_options(
list(ggplot2.discrete.fill = discrete_palettes), {
# 1st palette is used when there 1-2 levels (e.g., year)
print(cty_by_var(year))
# 2nd palette is used when there are 3 levels
print(cty_by_var(drv))
# 3rd palette is used when there are 4-6 levels
print(cty_by_var(fl))
})
# }
Run the code above in your browser using DataLab