Venn Diagram

Generates a Venn Diagram and an Upset diagram from selected categorical variables. This function converts specified variables to logical values based on a chosen "true" level. Two visual outputs are produced: a Venn diagram (via ggvenn) and an Upset plot (via UpSetR). Additionally, a summary table of "true" counts for each variable is provided.

Value

The function produces a Venn diagram and an Upset diagram.

Super classes

jmvcore::Analysis -> ClinicoPath::vennBase -> vennClass

Methods

Public methods

• vennClass$clone()

Inherited methods

• jmvcore::Analysis$.createImage()
• jmvcore::Analysis$.createImages()
• jmvcore::Analysis$.createPlotObject()
• jmvcore::Analysis$.load()
• jmvcore::Analysis$.render()
• jmvcore::Analysis$.save()
• jmvcore::Analysis$.savePart()
• jmvcore::Analysis$.setCheckpoint()
• jmvcore::Analysis$.setParent()
• jmvcore::Analysis$.setReadDatasetHeaderSource()
• jmvcore::Analysis$.setReadDatasetSource()
• jmvcore::Analysis$.setResourcesPathSource()
• jmvcore::Analysis$.setStatePathSource()
• jmvcore::Analysis$addAddon()
• jmvcore::Analysis$asProtoBuf()
• jmvcore::Analysis$asSource()
• jmvcore::Analysis$check()
• jmvcore::Analysis$init()
• jmvcore::Analysis$optionsChangedHandler()
• jmvcore::Analysis$postInit()
• jmvcore::Analysis$print()
• jmvcore::Analysis$readDataset()
• jmvcore::Analysis$run()
• jmvcore::Analysis$serialize()
• jmvcore::Analysis$setError()
• jmvcore::Analysis$setStatus()
• jmvcore::Analysis$translate()
• ClinicoPath::vennBase$initialize()

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Method clone()

The objects of this class are cloneable with this method.

Usage

vennClass$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

# Load the data
data("iris")