It visualizes data along an Archimedean spiral <https://en.wikipedia.org/wiki/Archimedean_spiral>. 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: | 1.0.3 |
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: | 2021-10-12 |
Author: | Zuguang Gu |
Maintainer: | Zuguang Gu <z.gu at dkfz.de> |
License: | MIT + file LICENSE |
URL: | https://github.com/jokergoo/spiralize |
NeedsCompilation: | no |
Materials: | NEWS |
CRAN checks: | spiralize results |
Reference manual: | spiralize.pdf |
Vignettes: |
Visualize Data on Spirals |
Package source: | spiralize_1.0.3.tar.gz |
Windows binaries: | r-devel: spiralize_1.0.3.zip, r-release: spiralize_1.0.3.zip, r-oldrel: spiralize_1.0.3.zip |
macOS binaries: | r-release (arm64): spiralize_1.0.3.tgz, r-release (x86_64): spiralize_1.0.3.tgz, r-oldrel: spiralize_1.0.3.tgz |
Old sources: | spiralize archive |
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