waterfallClass | R Documentation |
Creates waterfall and spider plots to visualize tumor response data following RECIST criteria
A list containing plot object and summary statistics
jmvcore::Analysis
-> ClinicoPath::waterfallBase
-> waterfallClass
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$translate()
ClinicoPath::waterfallBase$initialize()
clone()
The objects of this class are cloneable with this method.
waterfallClass$clone(deep = FALSE)
deep
Whether to make a deep clone.
data <- data.frame(
PatientID = paste0("PT", 1:10),
Response = c(-100, -45, -30, -20, -10, 0, 10, 20, 30, 40),
Time = c(1,2,3,4,5,6,7,8,9,10)
)
waterfall(data, "PatientID", "Response", "Time")
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