Consulting colour and fill scales — ct

Discrete and continuous scales backed by ggconsulting palettes. Discrete variants interpolate (with a warning) when the data has more levels than the palette can hold. Continuous variants gradient across all palette colours via ggplot2::scale_color_gradientn() / ggplot2::scale_fill_gradientn().

British spellings (scale_colour_ct(), scale_colour_ct_c()) are provided as aliases.

Usage

scale_color_ct(palette = "strategy_navy", reverse = FALSE, ...)

scale_colour_ct(palette = "strategy_navy", reverse = FALSE, ...)

scale_fill_ct(palette = "strategy_navy", reverse = FALSE, ...)

scale_color_ct_c(palette = "strategy_navy", direction = 1, ...)

scale_colour_ct_c(palette = "strategy_navy", direction = 1, ...)

scale_fill_ct_c(palette = "strategy_navy", direction = 1, ...)

Arguments

palette: Palette name (e.g. "strategy_navy") or character vector of colours.
reverse: Reverse palette order before mapping. Defaults to FALSE.
...: Forwarded to the underlying ggplot2 scale constructor.
direction: 1 (default) or -1 to reverse the continuous gradient.

Value

A ggplot2 scale.

Examples

library(ggplot2)
p_d <- ggplot(mtcars, aes(wt, mpg, colour = factor(cyl))) +
  geom_point() +
  scale_color_ct("strategy_azure")
p_c <- ggplot(faithfuld, aes(waiting, eruptions, fill = density)) +
  geom_raster() +
  scale_fill_ct_c("strategy_emerald")