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hues: Distinct Colour Palettes Based on 'iwanthue'

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.

Version: 0.2.0
Depends: R (≥ 3.2.0)
Imports: colorspace, methods
Suggests: ggplot2
Published: 2019-12-01
Author: John Baumgartner ORCID iD [aut, cre], Russell Dinnage [aut]
Maintainer: John Baumgartner <johnbaums at gmail.com>
BugReports: https://github.com/johnbaums/hues/issues
License: LGPL (≥ 3)
URL: https://github.com/johnbaums/hues
NeedsCompilation: no
Materials: README NEWS
CRAN checks: hues results

Documentation:

Reference manual: hues.pdf

Downloads:

Package source: hues_0.2.0.tar.gz
Windows binaries: r-devel: hues_0.2.0.zip, r-release: hues_0.2.0.zip, r-oldrel: hues_0.2.0.zip
macOS binaries: r-release (arm64): hues_0.2.0.tgz, r-oldrel (arm64): hues_0.2.0.tgz, r-release (x86_64): hues_0.2.0.tgz, r-oldrel (x86_64): hues_0.2.0.tgz
Old sources: hues archive

Reverse dependencies:

Reverse suggests: tidyCoverage

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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