All functions
BinaryYScatterPlot	Plot a scatter plot of a binary variable. xvar is the continuous independent variable and yvar is the dependent binary variable
calcPR	calculate precision/recall curve.
ClevelandDotPlot	Plot a Cleveland dot plot.
ConditionalSmoothedScatterPlot	Plot a scatter plot with smoothing line, with smoothing window aligned either left, center or right, xvar is the continuous independent variable and yvar is the dependent binary variable. Smoothing is by a square window of width k
DiscreteDistribution	Plot distribution of a single continuous variable.
DoubleDensityPlot	Plot two density plots conditioned on truthVar.
DoubleHistogramPlot	Plot two histograms conditioned on truthVar.
GainCurvePlot	Plot the gain curve of a sort-order.
GainCurvePlotC	Plot the gain curve of a sort-order with costs.
GainCurvePlotWithNotation	Take the standard WVPlots gain curve and add extra notation
graphROC	calculate AUC.
PlotDistCountNormal	plot distribution details as a histogram plus matching normal
PlotDistDensityBeta	plot distribution details as a density plus matching beta
PlotDistDensityNormal	plot distribution details as a density plus matching normal
PlotDistHistBeta	plot distribution details as a density plus matching beta
plotlyROC	Use plotly to produce a ROC plot.
PRPlot	Plot Precision-Recall plot.
ROCPlot	Plot receiver operating characteristic plot.
ROCPlotPair	Plot two receiver operating characteristic from the same data.frame.
ROCPlotPair2	Plot two receiver operating characteristic plots from unrelated frames.
ScatterBoxPlot	Plot a scatter box plot. xvar is the discrete variable (input or model) and yvar is the continuous variable.
ScatterBoxPlotH	Plot a scatter plot in horizontal mode. xvar is the continuous variable and yvar is the discrete variable (input or model) and
ScatterHist	Plot a scatter plot with marginals. xvar is the independent variable (input or model) and yvar is the dependent variable
ScatterHistC	Plot a conditional scatter plot with marginals. xvar is the independent variable (input or model), and yvar is the dependent variable, and cvar is the condition code
ScatterHistN	Plot a height scatter plot with marginals. xvar is the independent variable (input or model), and yvar is the dependent variable, and zvar is the condition height.
ShadedDensity	Plot the distribution of a variable with a tail shaded
	WVPlots: Common Plots for Analysis