Package: diceplot 0.2.1

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_0.2.1.tar.gz
diceplot_0.2.1.zip(r-4.7-any)diceplot_0.2.1.zip(r-4.6-any)diceplot_0.2.1.zip(r-4.5-any)
diceplot_0.2.1.tgz(r-4.6-any)diceplot_0.2.1.tgz(r-4.5-any)
diceplot_0.2.1.tar.gz(r-4.7-any)diceplot_0.2.1.tar.gz(r-4.6-any)
diceplot_0.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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:

Conda:

bioinformaticsdata-visualizationpathway-enrichment-analysisvisualization

4.31 score 27 stars 15 scripts 373 downloads 12 exports 43 dependencies

Last updated from:efb22f8c6e. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK153
source / vignettesOK248
linux-releaseOK158
macos-releaseOK156
macos-oldrelOK163
windows-develOK118
windows-releaseOK76
windows-oldrelOK148
wasm-releaseOK109

Exports:calculate_dot_sizecreate_custom_legendscreate_var_positionsdice_facet_plotdice_plotdomino_plotgeom_dice_sforder_cat_bperform_clusteringprepare_box_dataprepare_plot_dataprepare_simple_box_data

Dependencies:classclassIntclicowplotcpp11data.tableDBIdplyre1071farvergenericsggplot2ggrepelgluegtableisobandKernSmoothlabelinglifecyclemagrittrpillarpkgconfigproxypurrrR6RColorBrewerRcpprlangs2S7scalessfstringistringrtibbletidyrtidyselectunitsutf8vctrsviridisLitewithrwk