Package: WVPlots 1.3.9

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_1.3.9.tar.gz
WVPlots_1.3.9.zip(r-4.7)WVPlots_1.3.9.zip(r-4.6)WVPlots_1.3.9.zip(r-4.5)
WVPlots_1.3.9.tgz(r-4.6-any)WVPlots_1.3.9.tgz(r-4.5-any)
WVPlots_1.3.9.tar.gz(r-4.7-any)WVPlots_1.3.9.tar.gz(r-4.6-any)
WVPlots_1.3.9.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
WVPlots/json (API)

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

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

Pkgdown/docs site:https://winvector.github.io

On CRAN:

Conda:

7.81 score 84 stars 355 scripts 1.1k downloads 45 exports 29 dependencies

Last updated from:75226905ad. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK185
source / vignettesOK275
linux-release-x86_64OK178
macos-release-arm64OK147
macos-oldrel-arm64OK157
windows-develOK123
windows-releaseOK156
windows-oldrelOK118
wasm-releaseOK131

Exports:BinaryYScatterPlotClevelandDotPlotConditionalSmoothedScatterPlotDiscreteDistributionDoubleDensityPlotDoubleHistogramPlotGainCurveListPlotGainCurvePlotGainCurvePlotCGainCurvePlotListGainCurvePlotWithNotationHexBinPlotLiftCurveListPlotLiftCurvePlotLiftCurvePlotListLogLogPlotMetricPairPlotPairPlotplot_fit_trajectoryplot_Keras_fit_trajectoryPlotDistCountBinomialPlotDistCountNormalPlotDistDensityBetaPlotDistDensityNormalPlotDistHistBetaplotlyROCPRPlotPRTPlotROCListPlotROCPlotROCPlotListROCPlotPairROCPlotPair2ROCPlotPairListScatterBoxPlotScatterBoxPlotHScatterHistScatterHistCScatterHistNShadedDensityShadedDensityCenterShadowHistShadowPlotsimulate_aes_stringThresholdPlot

Dependencies:cdataclicpp11data.tablefarverggplot2gluegridExtragtableisobandlabelinglatticelifecycleMASSMatrixmgcvnlmeR6RColorBrewerrlangrqdatatablerqueryS7scalessigrvctrsviridisLitewithrwrapr

WVPlots concept

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

WVPlots examples
Scatterplots | Hexbin Plot | Gain Curves | ROC Plots | Precision-Recall-Threshold Plot | Threshold Plot | Double Density Plot | Double Histogram Plot | Cleveland Style Dotplots | Shadow Plots | Shadow Histogram | ScatterBox Plots | Discrete Distribution Plot | Distribution and Count Plots | Compare observations to a normal distribution with the same mean and standard deviation. | Compare "coin flip" observations to a binomial distribution | Compare observed rate data to a beta distribution with same mean and standard deviation | Smoothed Scatterplots | Density Plot with Shaded Tail | Density Plot with Shaded Central Region

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