Comprehensive Tidy Plots with Advanced Statistical Visualization
Source:R/tidyplots.b.R
tidyplotsClass.RdCreate publication-ready plots using the tidyplots framework with extensive customization options, statistical features, and advanced visualization capabilities. This implementation provides a jamovi interface to the tidyplots package for streamlined scientific plotting.
Details
This function provides comprehensive plotting capabilities including:
Multiple plot types: points, lines, bars, boxplots, violin plots, histograms
Advanced statistical features: means, medians, error bars, confidence intervals
Statistical testing: p-values, significance asterisks
Extensive color schemes: discrete, continuous, and diverging palettes
Grouping and faceting capabilities
Publication-ready customization options
Super classes
jmvcore::Analysis -> ClinicoPath::tidyplotsBase -> tidyplotsClass
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$translate()ClinicoPath::tidyplotsBase$initialize()