Summary of Categorical Variables

Generates a comprehensive summary of categorical variables including frequency counts, percentages, missing value information, and optional visual summaries. Supports multiple output formats and sorting options for enhanced data exploration.

Value

A results object containing HTML-formatted text summaries and visual tables

Super classes

jmvcore::Analysis -> ClinicoPath::reportcat2Base -> reportcat2Class

Methods

Public methods

• reportcat2Class$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$translate()
• ClinicoPath::reportcat2Base$initialize()

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Method clone()

The objects of this class are cloneable with this method.

Usage

reportcat2Class$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

# \donttest{
# Example 1: Basic categorical summary
data <- data.frame(
  treatment = factor(c("A", "B", "A", "C", "B", "A")),
  grade = factor(c("High", "Low", "Medium", "High", "Low", "Medium"))
)
result <- reportcat(data = data, vars = c("treatment", "grade"))

# Example 2: Enhanced summary with cumulative percentages  
result_enhanced <- reportcat(
  data = data, 
  vars = "treatment",
  sumvar_style = TRUE,
  show_proportions = TRUE
)

# Example 3: Sort categories by frequency
result_sorted <- reportcat(
  data = data,
  vars = "grade", 
  sort_by_frequency = TRUE
)
# }