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:	1.1.0
Depends:	R (≥ 4.0.0), grid
Imports:	GlobalOptions (≥ 0.1.1), GetoptLong (≥ 0.1.8), circlize, stats, methods, grDevices, lubridate, utils, ComplexHeatmap
Suggests:	knitr, rmarkdown, grImport, grImport2, jpeg, png, tiff, cranlogs, cowplot, dendextend, bezier, magick, ape
Published:	2024-06-18
DOI:	10.32614/CRAN.package.spiralize
Author:	Zuguang Gu [aut, cre] (<https://orcid.org/0000-0002-7395-8709>)
Maintainer:	Zuguang Gu <z.gu at dkfz.de>
License:	MIT + file LICENSE
URL:	https://github.com/jokergoo/spiralize, https://jokergoo.github.io/spiralize/
NeedsCompilation:	no
Citation:	spiralize citation info
Materials:	NEWS
CRAN checks:	spiralize results

Documentation:

Reference manual:	spiralize.pdf
Vignettes:	The spiralize package

Downloads:

Package source:	spiralize_1.1.0.tar.gz
Windows binaries:	r-devel: spiralize_1.1.0.zip, r-release: spiralize_1.1.0.zip, r-oldrel: spiralize_1.1.0.zip
macOS binaries:	r-release (arm64): spiralize_1.1.0.tgz, r-oldrel (arm64): spiralize_1.1.0.tgz, r-release (x86_64): spiralize_1.1.0.tgz, r-oldrel (x86_64): spiralize_1.1.0.tgz
Old sources:	spiralize archive

Reverse dependencies:

Reverse imports:

sephora, TransProR

Linking:

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