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randomcoloR: Generate Attractive Random Colors

Simple methods to generate attractive random colors. The random colors are from a wrapper of 'randomColor.js' <https://github.com/davidmerfield/randomColor>. In addition, it also generates optimally distinct colors based on k-means (inspired by 'IWantHue' <https://github.com/medialab/iwanthue>).

Version: 1.1.0.1
Imports: colorspace, stringr, V8, stats, methods, scales, Rtsne, grDevices, cluster
Published: 2019-11-24
Author: Ron Ammar
Maintainer: Ron Ammar <ron.ammar at gmail.com>
BugReports: https://github.com/ronammar/randomcoloR/issues
License: CC0
NeedsCompilation: no
Materials: NEWS
CRAN checks: randomcoloR results

Documentation:

Reference manual: randomcoloR.pdf

Downloads:

Package source: randomcoloR_1.1.0.1.tar.gz
Windows binaries: r-devel: randomcoloR_1.1.0.1.zip, r-release: randomcoloR_1.1.0.1.zip, r-oldrel: randomcoloR_1.1.0.1.zip
macOS binaries: r-release (arm64): randomcoloR_1.1.0.1.tgz, r-oldrel (arm64): randomcoloR_1.1.0.1.tgz, r-release (x86_64): randomcoloR_1.1.0.1.tgz, r-oldrel (x86_64): randomcoloR_1.1.0.1.tgz
Old sources: randomcoloR archive

Reverse dependencies:

Reverse depends: func2vis
Reverse imports: aPCoA, bdl, BiBitR, BloodGen3Module, fdq, igvShiny, IOLS, JFM, mully, pipeComp, presenter, rKIN, RSDA, rTwig, sechm, Summix, TOmicsVis
Reverse suggests: BioNAR, easy.utils, funtimes, sharp

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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