Type:	Package
Version:	0.2.0
Title:	Distinct Colour Palettes Based on 'iwanthue'
Description:	Creating effective colour palettes for figures is challenging. This package generates and plot palettes of optimally distinct colours in perceptually uniform colour space, based on 'iwanthue' http://tools.medialab.sciences-po.fr/iwanthue/. This is done through k-means clustering of CIE Lab colour space, according to user-selected constraints on hue, chroma, and lightness.
Date:	2019-12-01
Depends:	R (≥ 3.2.0)
Imports:	colorspace, methods
Suggests:	ggplot2
URL:	https://github.com/johnbaums/hues
BugReports:	https://github.com/johnbaums/hues/issues
License:	LGPL (≥ 3)
LazyData:	true
RoxygenNote:	7.0.1
NeedsCompilation:	no
Packaged:	2019-11-30 14:44:40 UTC; jbau
Author:	John Baumgartner [aut, cre], Russell Dinnage [aut]
Maintainer:	John Baumgartner <johnbaums@gmail.com>
Repository:	CRAN
Date/Publication:	2019-12-01 17:30:02 UTC

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

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

Value

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

Author(s)

Russell Dinnage r.dinnage@gmail.com

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)
     
}

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

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

Plot colour swatches for a vector of colours

Description

Plot named colour swatches for a vector of colours.

Usage

swatch(x)

Arguments

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))