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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 |
DOI: | 10.32614/CRAN.package.hues |
Author: | John Baumgartner [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 |
Reference manual: | hues.pdf |
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 suggests: | tidyCoverage |
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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.