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)diceplot_0.2.1.zip(r-4.6)diceplot_0.2.1.zip(r-4.5)
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
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

4.89 score 26 stars 9 scripts 248 downloads 12 exports 44 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK130
source / vignettesOK169
linux-release-x86_64OK156
macos-release-arm64OK261
macos-oldrel-arm64OK200
windows-develOK116
windows-releaseOK269
windows-oldrelOK112
wasm-releaseOK111

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.tableDBIdplyre1071farvergenericsggplot2ggrepelgluegtableisobandKernSmoothlabelinglifecyclemagrittrMASSpillarpkgconfigproxypurrrR6RColorBrewerRcpprlangs2S7scalessfstringistringrtibbletidyrtidyselectunitsutf8vctrsviridisLitewithrwk