Package 'hues'

hues: Generate optimally distinct colour palettes

Description

This package generates and plot palettes of optimally distinct colours in perceptually uniform colour space, based on iwanthue. This is done through k-means clustering of CIE Lab colour space, according to user-selected constraints on hue, chroma, and lightness.

References

• iwanthue

• iwanthue GitHub repository

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iwanthue scales to use with ggplot2

Description

These functions allow you to use iwanthue() generated palettes with ggplot2 plots. You need ggplot2 installed for these to work. Note these only work with discrete scales.

Usage

scale_colour_iwanthue(
  ...,
  hmin = 0,
  hmax = 360,
  cmin = 0,
  cmax = 180,
  lmin = 0,
  lmax = 100,
  random = FALSE,
  aesthetics = "colour"
)

scale_color_iwanthue(
  ...,
  hmin = 0,
  hmax = 360,
  cmin = 0,
  cmax = 180,
  lmin = 0,
  lmax = 100,
  random = FALSE,
  aesthetics = "colour"
)

scale_fill_iwanthue(
  ...,
  hmin = 0,
  hmax = 360,
  cmin = 0,
  cmax = 180,
  lmin = 0,
  lmax = 100,
  random = FALSE,
  aesthetics = "fill"
)

Arguments

...	Arguments to pass on to ggplot2::discrete_scale().
hmin	Numeric, in the range ⁠[0, 360]⁠. The lower limit of the hue range to be clustered.
hmax	Numeric, in the range ⁠[0, 360]⁠. The upper limit of the hue range to be clustered.
cmin	Numeric, in the range ⁠[0, 180]⁠. The lower limit of the chroma range to be clustered.
cmax	Numeric, in the range ⁠[0, 180]⁠. The upper limit of the chroma range to be clustered.
lmin	Numeric, in the range ⁠[0, 100]⁠. The lower limit of the luminance range to be clustered.
lmax	Numeric, in the range ⁠[0, 100]⁠. The upper limit of the luminance range to be clustered.
random	Logical. If TRUE, clustering will be determined by the existing RNG state. If FALSE, the seed will be set to 1 for clustering, and on exit, the function will restore the pre-existing RNG state.
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").

Value

A ScaleDiscrete object that can be added to a ggplot object.

Author(s)

Russell Dinnage [email protected]

Examples

if (require('ggplot2')) {

   ggplot(iris, aes(x=Petal.Width, y=Petal.Length)) +
     geom_point(aes(color=Species), size=10) + 
     scale_colour_iwanthue()
    
   ggplot(iris, aes(x=Petal.Width, y=Petal.Length)) +
     geom_point(aes(color=Species), size=10) + 
     scale_colour_iwanthue(hmax = 90)
     
}

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Generate a colour palette by k-means clustering of CIE Lab colour space.

Description

Generate a palette of distinct colours through k-means clustering of CIE Lab colour space.

Usage

iwanthue(
  n,
  hmin = 0,
  hmax = 360,
  cmin = 0,
  cmax = 180,
  lmin = 0,
  lmax = 100,
  plot = FALSE,
  random = FALSE
)

Arguments

n	Numeric. The number of colours to generate.
hmin	Numeric, in the range ⁠[0, 360]⁠. The lower limit of the hue range to be clustered.
hmax	Numeric, in the range ⁠[0, 360]⁠. The upper limit of the hue range to be clustered.
cmin	Numeric, in the range ⁠[0, 180]⁠. The lower limit of the chroma range to be clustered.
cmax	Numeric, in the range ⁠[0, 180]⁠. The upper limit of the chroma range to be clustered.
lmin	Numeric, in the range ⁠[0, 100]⁠. The lower limit of the luminance range to be clustered.
lmax	Numeric, in the range ⁠[0, 100]⁠. The upper limit of the luminance range to be clustered.
plot	Logical. Should the colour swatches be plotted (using swatch())?
random	Logical. If TRUE, clustering will be determined by the existing RNG state. If FALSE, the seed will be set to 1 for clustering, and on exit, the function will restore the pre-existing RNG state.

Details

Note that iwanthue currently doesn't support hmin greater than hmax (which should be allowed, since hue is circular).

Value

A vector of n colours (as hexadecimal strings), representing centers of clusters determined through k-means clustering of the CIE Lab colour space delimited by hmin, hmax, cmin, cmax, lmin and lmax.

References

• Examples follow those presented at iwanthue - colors for data scientists

• iwanthue on GitHub

See Also

swatch

Examples

iwanthue(5)
iwanthue(5, plot=TRUE)
iwanthue(5, 0, 240, 0, 24, 0, 100, plot=TRUE)    # shades
iwanthue(5, 0, 360, 0, 54, 67, 100, plot=TRUE)   # pastel
iwanthue(5, 0, 360, 54, 180, 27, 67, plot=TRUE)  # pimp
iwanthue(5, 0, 360, 36, 180, 13, 73, plot=TRUE)  # intense
iwanthue(3, 0, 300, 60, 180, 73, 100, plot=TRUE) # fluoro
iwanthue(3, 220, 260, 12, 150, 0, 53, plot=TRUE) # blue ocean

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Plot colour swatches for a vector of colours

Description

Plot named colour swatches for a vector of colours.

Usage

swatch(x)

Arguments

x	a vector of colours, specified as: colour names (i.e. colour names returned by colors()); numeric indices into palette(), or hexadecimal strings in the form "#RRGGBB", where RR, GG, and BB are pairs of hexadecimal digits representing red, green, and blue components, in the range 00 to FF.

Value

NULL. The colour swatch is plotted to the active plotting device.

See Also

iwanthue

Examples

swatch(colours()[1:10])
swatch(1:4)
swatch(iwanthue(5))

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