spiralize: Visualize Data on Spirals

It visualizes data along an Archimedean spiral <https://en.wikipedia.org/wiki/Archimedean_spiral>, makes so-called spiral graph or spiral chart. It has two major advantages for visualization: 1. It is able to visualize data with very long axis with high resolution. 2. It is efficient for time series data to reveal periodic patterns.

Version: 1.0.6
Depends: R (≥ 3.6.0), grid
Imports: GlobalOptions (≥ 0.1.1), GetoptLong (≥ 0.1.8), circlize, stats, methods, grDevices, lubridate, utils
Suggests: ComplexHeatmap, knitr, rmarkdown, grImport, grImport2, jpeg, png, tiff, ape, cranlogs, cowplot, dendextend, bezier, magick
Published: 2022-08-09
DOI: 10.32614/CRAN.package.spiralize
Author: Zuguang Gu ORCID iD [aut, cre]
Maintainer: Zuguang Gu <z.gu at dkfz.de>
License: MIT + file LICENSE
URL: https://github.com/jokergoo/spiralize
NeedsCompilation: no
Citation: spiralize citation info
Materials: NEWS
CRAN checks: spiralize results


Reference manual: spiralize.pdf
Vignettes: Visualize Data on Spirals


Package source: spiralize_1.0.6.tar.gz
Windows binaries: r-devel: spiralize_1.0.6.zip, r-release: spiralize_1.0.6.zip, r-oldrel: spiralize_1.0.6.zip
macOS binaries: r-release (arm64): spiralize_1.0.6.tgz, r-oldrel (arm64): spiralize_1.0.6.tgz, r-release (x86_64): spiralize_1.0.6.tgz, r-oldrel (x86_64): spiralize_1.0.6.tgz
Old sources: spiralize archive

Reverse dependencies:

Reverse imports: sephora


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