## 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.

LogLogPlot

Plot a trend on log-log paper.

plot_fit_trajectory

Plot the trajectory of a model fit.

plot_Keras_fit_trajectory

Plot the trajectory of a Keras model fit.

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

WVPlots: Common Plots for Analysis