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

In pmckeigue/wevid: Weight of evidence for quantifying performance of a binary classifier

Description

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

Usage

plotWdists(Wdensities.unadj, Wdensities.adj, mask = NULL,
  distlabels = c("Crude", "Adjusted"))

Arguments

Wdensities.unadj	Unadjusted densities computed by Wdensities.unadjusted.
Wdensities.adj	Adjusted densities computed by Wdensities.fromraw.
mask	if not null, breaks y axis to show more detail of lower end
distlabels	Character vector of length 2

Examples

data("cleveland") # load example dataset
W <- with(cleveland, weightsofevidence(posterior.p, prior.p))
densities.unadj <- Wdensities.unadjusted(cleveland$y, W)
densities.adj <- Wdensities.fromraw(densities.unadj)
plotWdists(densities.unadj, densities.adj)

pmckeigue/wevid documentation built on May 29, 2019, 5:41 a.m.