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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
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

Documentation:

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

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=spiralize to link to this page.

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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