Advanced bar chart visualization module implementing 5 different approaches for creating professional bar charts. Inspired by "A Bar Chart 5 Ways" methodology, each approach is optimized for different use cases in clinical research.
Details
This module provides 5 distinct approaches to bar chart visualization:
Basic ggplot2: Clean, straightforward implementation
Polished Presentation: Enhanced styling for presentations
Statistical Annotations: Integrated statistical tests and annotations
Interactive Plotly: Interactive web-based visualization
Publication Ready: Journal-quality formatting and styling
Super classes
jmvcore::Analysis -> ClinicoPath::advancedbarplotBase -> advancedbarplotClass
Methods
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$translate()ClinicoPath::advancedbarplotBase$initialize()