Lollipop Charts for Categorical Data Visualization

Creates comprehensive lollipop charts for categorical data visualization with emphasis on clinical applications. Lollipop charts are particularly effective for displaying categorical data with a focus on individual values, making them ideal for patient timelines, treatment outcomes, biomarker levels, and comparative clinical assessments.

Details

The lollipop chart function is designed specifically for clinical research applications where categorical data visualization with emphasis on individual values is crucial. Unlike bar charts, lollipop charts reduce ink-to-data ratio and provide cleaner visualization for sparse data or when highlighting specific categories.

Key features:

• Flexible orientation (vertical/horizontal)

• Advanced sorting options (by value, alphabetical)

• Clinical color schemes and themes

• Highlighting capabilities for specific categories

• Statistical summary integration

• Professional publication-ready appearance

Common clinical applications:

• Patient timeline visualization

• Biomarker level comparisons

• Treatment outcome rankings

• Survey response visualization

• Quality metric displays

• Diagnostic test results

Super classes

jmvcore::Analysis -> ClinicoPath::lollipopBase -> lollipopClass

Methods

Public methods

• lollipopClass$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$translate()
• ClinicoPath::lollipopBase$initialize()

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Method clone()

The objects of this class are cloneable with this method.

Usage

lollipopClass$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

if (FALSE) { # \dontrun{
# Basic lollipop chart
result <- lollipop(
  data = patient_data,
  dep = "biomarker_level",
  group = "patient_id"
)

# Horizontal lollipop with sorting
result <- lollipop(
  data = treatment_data,
  dep = "response_score",
  group = "treatment_type",
  sortBy = "value_desc",
  orientation = "horizontal",
  showValues = TRUE
)

# Clinical timeline with highlighting
result <- lollipop(
  data = timeline_data,
  dep = "days_to_event",
  group = "patient_id",
  highlight = "high_risk_patient",
  showMean = TRUE
)
} # }