Common Plots for Analysis

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Documentation for package ‘WVPlots’ version 0.2.3

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WVPlots-package WVPlots: Common Plots for Analysis
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
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