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:
diceplot_0.1.4.tar.gz
diceplot_0.1.4.zip(r-4.5)diceplot_0.1.4.zip(r-4.4)diceplot_0.1.4.zip(r-4.3)
diceplot_0.1.4.tgz(r-4.4-any)diceplot_0.1.4.tgz(r-4.3-any)
diceplot_0.1.4.tar.gz(r-4.5-noble)diceplot_0.1.4.tar.gz(r-4.4-noble)
diceplot_0.1.4.tgz(r-4.4-emscripten)diceplot_0.1.4.tgz(r-4.3-emscripten)
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
Last updated 18 hours agofrom:5d66a3d597. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 20 2024 |
| R-4.5-win | OK | Nov 20 2024 |
| R-4.5-linux | OK | Nov 20 2024 |
| R-4.4-win | OK | Nov 20 2024 |
| R-4.4-mac | OK | Nov 20 2024 |
| R-4.3-win | OK | Nov 20 2024 |
| R-4.3-mac | OK | Nov 20 2024 |
Exports:calculate_dot_sizecreate_custom_legendscreate_var_positionsdice_plotdomino_plotorder_cat_bperform_clusteringprepare_box_dataprepare_plot_data
Dependencies:clicolorspacecowplotcpp11data.tabledplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calculate Dynamic Dot Size | calculate_dot_size |
| Create Custom Legends | create_custom_legends |
| Create Variable Positions | create_var_positions |
| Dice Plot Visualization | dice_plot |
| Domino Plot Visualization | domino_plot |
| Order Category B | order_cat_b |
| Perform Hierarchical Clustering on Category A | perform_clustering |
| Prepare Box Data | prepare_box_data |
| Prepare Plot Data | prepare_plot_data |