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: | 0.1.1 |
Imports: | dplyr (≥ 1.0.0), ggplot2 (≥ 3.5.0), tidyr (≥ 1.3.0), data.table (≥ 1.14.8), cowplot, tibble, stats, rlang |
Published: | 2024-10-21 |
DOI: | 10.32614/CRAN.package.diceplot |
Author: | Matthias Flotho [aut, cre] |
Maintainer: | Matthias Flotho <matthias.flotho at ccb.uni-saarland.de> |
BugReports: | https://github.com/maflot/Diceplot/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://dice-and-domino-plot.readthedocs.io/en/latest/, https://github.com/maflot/Diceplot |
NeedsCompilation: | no |
CRAN checks: | diceplot results |
Reference manual: | diceplot.pdf |
Package source: | diceplot_0.1.1.tar.gz |
Windows binaries: | r-devel: diceplot_0.1.1.zip, r-release: diceplot_0.1.1.zip, r-oldrel: diceplot_0.1.1.zip |
macOS binaries: | r-release (arm64): diceplot_0.1.1.tgz, r-oldrel (arm64): diceplot_0.1.1.tgz, r-release (x86_64): diceplot_0.1.1.tgz, r-oldrel (x86_64): diceplot_0.1.1.tgz |
Old sources: | diceplot archive |
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