plotNetBenefit: Plot the net benefit

In OHDSI/PatientLevelPrediction: Develop Clinical Prediction Models Using the Common Data Model

Plot the net benefit

Description

Plot the net benefit

Usage

plotNetBenefit(
  plpResult,
  typeColumn = "evaluation",
  saveLocation = NULL,
  fileName = "netBenefit.png",
  evalType = NULL,
  ylim = NULL,
  xlim = NULL
)

Arguments

plpResult	A plp result object as generated using the runPlp function.
typeColumn	The name of the column specifying the evaluation type
saveLocation	Directory to save plot (if NULL plot is not saved)
fileName	Name of the file to save to plot, for example 'plot.png'. See the function ggsave in the ggplot2 package for supported file formats.
evalType	Which evaluation type to plot for. For example Test, Train. If NULL everything is plotted
ylim	The y limits for the plot, if NULL the limits are calculated from the data
xlim	The x limits for the plot, if NULL the limits are calculated from the data

Value

A list of ggplot objects or a single ggplot object if only one evaluation type is plotted

Examples

 
data("simulationProfile")
plpData <- simulatePlpData(simulationProfile, n=1000)
saveLoc <- file.path(tempdir(), "plotNetBenefit")
results <- runPlp(plpData, outcomeId = 3, saveDirectory = saveLoc)
plotNetBenefit(results)
# clean up
unlink(saveLoc, recursive = TRUE)

OHDSI/PatientLevelPrediction documentation built on Feb. 14, 2025, 9:44 a.m.