plotWdists: Plot the distribution of the weight of evidence in cases and...

In mcol/wevid: Quantifying Performance of a Binary Classifier Through Weight of Evidence

Plot the distribution of the weight of evidence in cases and in controls

Description

Plot the distribution of the weight of evidence in cases and in controls

Usage

plotWdists(densities, distlabels = c("Crude", "Model-based"))

Arguments

densities	Densities object produced by Wdensities.
distlabels	Character vector of length 2 to be used to label the crude and the model-based curves (in that order).

Value

A ggplot object representing the distributions of crude and model-based weights of evidence in cases and in controls.

Examples

data(cleveland)
densities <- with(cleveland, Wdensities(y, posterior.p, prior.p))
plotWdists(densities)

# Example which requires fitting a mixture distribution
data(fitonly)
densities <- with(fitonly, Wdensities(y, posterior.p, prior.p))

# truncate spike
plotWdists(densities) + ggplot2::scale_y_continuous(limits=c(0, 0.5))

mcol/wevid documentation built on March 22, 2022, 12:07 a.m.