Base R graphics visualization module providing fast, blazing fast, and extremely customizable data visualization solutions using pure base R graphics. This module showcases the power and flexibility of base R plotting functions without external dependencies.
Details
This module implements the functionality requested in GitHub Issue #75, providing comprehensive base R graphics visualization capabilities. Base R graphics offer exceptional performance and unlimited customization potential for clinical research and data visualization.
Supported plot types:
Scatter plots: Visualize relationships between continuous variables
Line plots: Show trends and time series data
Histograms: Display distribution of continuous variables
Box plots: Compare distributions across groups
Bar plots: Visualize categorical data frequencies
Density plots: Smooth distribution visualization
Pairs plots: Multiple variable relationships
Matrix plots: Multiple series on same plot
Super classes
jmvcore::Analysis -> ClinicoPath::basegraphicsBase -> basegraphicsClass
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$translate()ClinicoPath::basegraphicsBase$initialize()