Package: WVPlots 1.3.8

John Mount

WVPlots: Common Plots for Analysis

Select data analysis plots, under a standardized calling interface implemented on top of 'ggplot2' and 'plotly'. Plots of interest include: 'ROC', gain curve, scatter plot with marginal distributions, conditioned scatter plot with marginal densities, box and stem with matching theoretical distribution, and density with matching theoretical distribution.

Authors:John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]

WVPlots_1.3.8.tar.gz
WVPlots_1.3.8.zip(r-4.5)WVPlots_1.3.8.zip(r-4.4)WVPlots_1.3.8.zip(r-4.3)
WVPlots_1.3.8.tgz(r-4.4-any)WVPlots_1.3.8.tgz(r-4.3-any)
WVPlots_1.3.8.tar.gz(r-4.5-noble)WVPlots_1.3.8.tar.gz(r-4.4-noble)
WVPlots_1.3.8.tgz(r-4.4-emscripten)WVPlots_1.3.8.tgz(r-4.3-emscripten)
WVPlots.pdf |WVPlots.html✨
WVPlots/json (API)
NEWS

# Install 'WVPlots' in R:
install.packages('WVPlots', repos = c('https://winvector.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/winvector/wvplots/issues

On CRAN:

7.94 score 84 stars 262 scripts 2.0k downloads 45 exports 35 dependencies

Last updated 7 months agofrom:98071f114a. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 03 2024
R-4.5-winOKNov 03 2024
R-4.5-linuxOKNov 03 2024
R-4.4-winOKNov 03 2024
R-4.4-macOKNov 03 2024
R-4.3-winOKNov 03 2024
R-4.3-macOKNov 03 2024

Exports:BinaryYScatterPlotClevelandDotPlotConditionalSmoothedScatterPlotDiscreteDistributionDoubleDensityPlotDoubleHistogramPlotGainCurveListPlotGainCurvePlotGainCurvePlotCGainCurvePlotListGainCurvePlotWithNotationHexBinPlotLiftCurveListPlotLiftCurvePlotLiftCurvePlotListLogLogPlotMetricPairPlotPairPlotplot_fit_trajectoryplot_Keras_fit_trajectoryPlotDistCountBinomialPlotDistCountNormalPlotDistDensityBetaPlotDistDensityNormalPlotDistHistBetaplotlyROCPRPlotPRTPlotROCListPlotROCPlotROCPlotListROCPlotPairROCPlotPair2ROCPlotPairListScatterBoxPlotScatterBoxPlotHScatterHistScatterHistCScatterHistNShadedDensityShadedDensityCenterShadowHistShadowPlotsimulate_aes_stringThresholdPlot

Dependencies:cdataclicolorspacedata.tablefansifarverggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangrqdatatablerqueryscalessigrtibbleutf8vctrsviridisLitewithrwrapr

WVPlots concept

Win-Vector LLC

Rendered fromWVPlots_concept.Rmdusingknitr::rmarkdownon Nov 03 2024.

Last update: 2023-08-09
Started: 2016-04-01

WVPlots examples

Win-Vector LLC

Rendered fromWVPlots_examples.Rmdusingknitr::rmarkdownon Nov 03 2024.

Last update: 2023-08-09
Started: 2015-06-05

Readme and manuals

Help Manual

Help pageTopics
WVPlots: Common Plots for AnalysisWVPlots-package WVPlots
Plot a scatter plot of a binary variable with smoothing curve.BinaryYScatterPlot
Plot a Cleveland dot plot.ClevelandDotPlot
Plot a scatter plot with smoothing line.ConditionalSmoothedScatterPlot
Plot distribution of a single discrete numerical variable.DiscreteDistribution
Plot two density plots conditioned on an outcome variable.DoubleDensityPlot
Plot two histograms conditioned on an outcome variable.DoubleHistogramPlot
Plot the cumulative gain curve of a sort-order.GainCurvePlot
Plot the cumulative gain curve of a sort-order with costs.GainCurvePlotC
Plot the cumulative gain curves of a sort-order.GainCurveListPlot GainCurvePlotList
Plot the cumulative gain curve of a sort-order with extra notationGainCurvePlotWithNotation
Build a hex bin plotHexBinPlot
Plot the cumulative lift curve of a sort-order.LiftCurvePlot
Plot the cumulative lift curves of a sort-order.LiftCurveListPlot LiftCurvePlotList
Log-log plotLogLogPlot
Plot the relationship between two metrics.MetricPairPlot
Build a pair plotPairPlot
Plot the trajectory of a model fit.plot_fit_trajectory
Plot the trajectory of a Keras model fit.plot_Keras_fit_trajectory
Plot count data with a theoretical binomialPlotDistCountBinomial
Plot distribution details as a histogram plus matching normalPlotDistCountNormal
Plot empirical rate data as a density with the matching beta distributionPlotDistDensityBeta
Plot an empirical density with the matching normal distributionPlotDistDensityNormal
Plot empirical rate data as a histogram plus matching betaPlotDistHistBeta
Use 'plotly' to produce a ROC plot.plotlyROC
Plot Precision-Recall plot.PRPlot
Plot Precision-Recall or Enrichment-Recall as a function of threshold.PRTPlot
Plot receiver operating characteristic plot.ROCPlot
Compare multiple ROC plots.ROCListPlot ROCPlotList ROCPlotPairList
Compare two ROC plots.ROCPlotPair
Compare two ROC plots.ROCPlotPair2
Plot a scatter box plot.ScatterBoxPlot
Plot a scatter box plot in horizontal mode.ScatterBoxPlotH
Plot a scatter plot with marginals.ScatterHist
Plot a conditional scatter plot with marginals.ScatterHistC
Plot a height scatter plot with marginals.ScatterHistN
Plot the distribution of a variable with a tail shadedShadedDensity
Plot the distribution of a variable with a center region shadedShadedDensityCenter
Plot a Shadow Histogram PlotShadowHist
Plot a Shadow Bar PlotShadowPlot
Simulate the deprecated 'ggplot2::aes_string()'.simulate_aes_string
Plot classifier metrics as a function of thresholds.ThresholdPlot