RCC colours for discrete data

Colour scale for categorical variables based on RCC graphic profile.

scale_colour_rcc(
  ...,
  aesthetics = "colour",
  direction = 1,
  na.value = "grey50"
)

scale_fill_rcc(..., aesthetics = "fill", direction = 1, na.value = "grey50")

Arguments

...	Other arguments passed on to ggplot2::discrete_scale() to control name, limits, breaks, labels and so forth.
aesthetics	Character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with. This can be useful, for example, to apply colour settings to the colour and fill aesthetics at the same time, via aesthetics = c("colour", "fill").
direction	Sets the order of colours in the scale. If 1, the default, colours are as the in RCC graphic profile. If -1, the order of colours is reversed.
na.value	Colour to use for missing values

References

https://bitbucket.org/cancercentrum/rccshiny/src/1.10.0/R/rcc2PlotLine.R#lines-120

Examples

library(ggplot2)
library(rccthemes)
theme_set(ggplot2::theme_minimal())

# Example of using the RCC scale for the esthetic colour
ggplot(mpg, aes(x = displ, y = hwy, colour = class)) +
  geom_point() +
  scale_colour_rcc()


# Example of using the RCC scale for the esthetic fill
g <- ggplot(mpg, aes(x = class, fill = drv)) +
  geom_bar()

g + scale_fill_rcc()

g + scale_fill_rcc(direction = -1)