Package: diceplot 0.1.4

Matthias Flotho

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/>.

Authors:Matthias Flotho [aut, cre]

diceplot_0.1.4.tar.gz
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diceplot.pdf |diceplot.html✨
diceplot/json (API)

# Install 'diceplot' in R:
install.packages('diceplot', repos = c('https://maflot.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/maflot/diceplot/issues

On CRAN:

data-visualization

4.08 score 4 stars 5 scripts 662 downloads 9 exports 38 dependencies

Last updated 3 months agofrom:5d66a3d597. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 18 2025
R-4.5-winOKFeb 18 2025
R-4.5-macOKFeb 18 2025
R-4.5-linuxOKFeb 18 2025
R-4.4-winOKFeb 18 2025
R-4.4-macOKFeb 18 2025
R-4.3-winOKFeb 18 2025
R-4.3-macOKFeb 18 2025

Exports:calculate_dot_sizecreate_custom_legendscreate_var_positionsdice_plotdomino_plotorder_cat_bperform_clusteringprepare_box_dataprepare_plot_data

Dependencies:clicolorspacecowplotcpp11data.tabledplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr