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diceplot: High Dimensional Categorical Data Visualization

Easy visualization for datasets with more than two categorical variables and additional continuous variables. 'diceplot' is particularly useful for exploring complex categorical data in the context of pathway analysis across multiple conditions. For a detailed documentation please visit <https://dice-and-domino-plot.readthedocs.io/en/latest/>.

Version: 0.1.4
Imports: dplyr (≥ 1.0.0), ggplot2 (≥ 3.5.0), tidyr (≥ 1.3.0), data.table (≥ 1.14.8), cowplot, tibble, stats, rlang, RColorBrewer
Published: 2024-11-20
DOI: 10.32614/CRAN.package.diceplot
Author: Matthias Flotho ORCID iD [aut, cre]
Maintainer: Matthias Flotho <matthias.flotho at ccb.uni-saarland.de>
BugReports: https://github.com/maflot/Diceplot/issues
License: MIT + file LICENSE
URL: https://dice-and-domino-plot.readthedocs.io/en/latest/, https://github.com/maflot/Diceplot
NeedsCompilation: no
Citation: diceplot citation info
CRAN checks: diceplot results

Documentation:

Reference manual: diceplot.pdf

Downloads:

Package source: diceplot_0.1.4.tar.gz
Windows binaries: r-devel: diceplot_0.1.4.zip, r-release: diceplot_0.1.4.zip, r-oldrel: diceplot_0.1.4.zip
macOS binaries: r-release (arm64): diceplot_0.1.4.tgz, r-oldrel (arm64): diceplot_0.1.4.tgz, r-release (x86_64): diceplot_0.1.4.tgz, r-oldrel (x86_64): diceplot_0.1.4.tgz
Old sources: diceplot archive

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.