plotSparseRoc: Plot the ROC curve using the sparse thresholdSummary data...
In hxia/plp-git-demo: Package for patient level prediction using data in the OMOP Common Data Model

Plot the ROC curve using the sparse thresholdSummary data frame

1	plotSparseRoc(evaluation, type = "test", fileName = NULL)

`evaluation`	A prediction object as generated using the `runPlp` function.
`type`	options: 'train' or test'
`fileName`	Name of the file where the plot should be saved, for example 'plot.png'. See the function `ggsave` in the ggplot2 package for supported file formats.

Create a plot showing the Receiver Operator Characteristics (ROC) curve.

A ggplot object. Use the ggsave function to save to file in a different format.

hxia/plp-git-demo documentation built on March 19, 2021, 1:54 a.m.

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