knitr::opts_chunk$set(collapse = TRUE, comment = "#>")
This article covers the visualisation functions available in the package.
agepyramid( data = histopathology, age = "Age", gender = "Sex", female = "Female" )
alluvial( data = histopathology, vars = vars(Grade, LVI, PNI), fill = "first_variable" )
benford(data = histopathology, var = "TumorSize")
venn(data = histopathology, vars = vars(LVI, PNI, PreinvasiveComponent))
vartree( data = histopathology, vars = vars(Grade, LVI, PNI), percvar = "Grade", percvarLevel = "High" )
waterfall( data = treatmentResponse, patientID = "PatientID", responseVar = "Response", timeVar = "Month", inputType = "percentage", showWaterfallPlot = TRUE, showSpiderPlot = TRUE )
These code snippets illustrate the core visualisation tools included in ClinicoPathDescriptives
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