This is a thin wrapper to ggplot2::discrete_scale('colour', 'chameleon', ...), which uses the colors chosen by invoking distinct_colors. The order of the colors is arbitrary. If the data has some structure the colors should reflect, use one of the many palettes available in R, or using data_colors for automatically matching the colors to the structure of multi-dimensional data.

scale_color_chameleon(
  minimal_saturation = 33,
  minimal_lightness = 20,
  maximal_lightness = 80,
  ...
)

Arguments

minimal_saturation

Exclude colors whose saturation (hypot(a, b) in CIELAB color space) is less than this value (by default, 33).

minimal_lightness

Exclude colors whose lightnes (l in CIELAB color space) is less than this value (by default, 20).

maximal_lightness

Exclude colors whose lightnes (l in CIELAB color space) is more than this value (by default, 80).

...

Additional parameters for discrete_scale.

Examples

library(ggplot2) data(pbmc) frame <- as.data.frame(pbmc$umap) frame$type <- pbmc$types ggplot(frame, aes(x=xs, y=ys, color=type)) + geom_point(size=0.75) + scale_color_chameleon() + theme(legend.text=element_text(size=12), legend.key.height=unit(14, 'pt'))
#> Warning: Removed 12 rows containing missing values (geom_point).