HCL-Based Binned Qualitative Color Scales for ggplot2

Binned ggplot2 color scales using the color palettes generated by qualitative_hcl. These scales are provided for completeness. It is not normally a good idea to color a continuous, binned variable using a qualitative scale.

scale_colour_binned_qualitative(
  palette = NULL,
  c1 = NULL,
  l1 = NULL,
  h1 = NULL,
  h2 = NULL,
  alpha = 1,
  rev = FALSE,
  begin = 0,
  end = 1,
  na.value = "grey50",
  guide = "coloursteps",
  aesthetics = "colour",
  n_interp = 11,
  ...
)

scale_color_binned_qualitative(
  palette = NULL,
  c1 = NULL,
  l1 = NULL,
  h1 = NULL,
  h2 = NULL,
  alpha = 1,
  rev = FALSE,
  begin = 0,
  end = 1,
  na.value = "grey50",
  guide = "coloursteps",
  aesthetics = "colour",
  n_interp = 11,
  ...
)

scale_fill_binned_qualitative(..., aesthetics = "fill")

Arguments

palette	The name of the palette to be used. Run hcl_palettes(type = "qualitative") for available options.
c1	Chroma value, used for all colors in the scale.
l1	Luminance value, used for all colors in the scale.
h1	Beginning hue value.
h2	Ending hue value.
alpha	Numeric vector of values in the range [0, 1] for alpha transparency channel (0 means transparent and 1 means opaque).
rev	If TRUE, reverses the order of the colors in the color scale.
begin	Number in the range of [0, 1] indicating to which point in the color scale the smallest data value should be mapped.
end	Number in the range of [0, 1] indicating to which point in the color scale the largest data value should be mapped.
na.value	Color to be used for missing data points.
guide	Type of legend. Use "coloursteps" for color bar with discrete steps.
aesthetics	The ggplot2 aesthetics to which this scale should be applied.
n_interp	Number of discrete colors that should be used to interpolate the binned color scale. 11 will work fine in most cases.
...	common binned scale parameters: `name`, `breaks`, `labels`, and `limits`. See binned_scale for more details.

Details

If both a valid palette name and palette parameters are provided then the provided palette parameters overwrite the parameters in the named palette. This enables easy customization of named palettes.

Examples

library("ggplot2")

# none of these examples are necessarily good ideas
gg <- ggplot(iris, aes(x = Species, y = Sepal.Width, color = Sepal.Length)) + 
  geom_jitter(width = 0.3) + theme_minimal()
  
gg + scale_color_binned_qualitative(palette = "Dynamic")

gg + scale_color_binned_qualitative(palette = "Dark3", l1 = 70)


nx = 87
ny = 61
df <- data.frame(height = c(volcano), x = rep(1:nx, ny), y = rep(1:ny, each = nx))
ggplot(df, aes(x, y, fill=height)) + 
  geom_raster() + scale_fill_binned_qualitative(palette = "Dark 3") +
  coord_fixed(expand = FALSE)