Package: AutoPlots 1.0.0

AutoPlots: Creating Echarts Visualizations as Easy as Possible

Create beautiful and interactive visualizations in a single function call. The 'data.table' package is utilized to perform the data wrangling necessary to prepare your data for the plot types you wish to build, along with allowing fast processing for big data. There are two broad classes of plots available: standard plots and machine learning evaluation plots. There are lots of parameters available in each plot type function for customizing the plots (such as faceting) and data wrangling (such as variable transformations and aggregation).

Authors:Adrian Antico [aut, cre, cph]

AutoPlots_1.0.0.tar.gz
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AutoPlots_1.0.0.tgz(r-4.4-any)AutoPlots_1.0.0.tgz(r-4.3-any)
AutoPlots_1.0.0.tar.gz(r-4.5-noble)AutoPlots_1.0.0.tar.gz(r-4.4-noble)
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AutoPlots.pdf |AutoPlots.html
AutoPlots/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/adrianantico/autoplots/issues

On CRAN:

4.62 score 21 stars 449 downloads 42 exports 86 dependencies

Last updated 6 months agofrom:193f22c94f. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 23 2024
R-4.5-winOKNov 23 2024
R-4.5-linuxOKNov 23 2024
R-4.4-winOKNov 23 2024
R-4.4-macOKNov 23 2024
R-4.3-winOKNov 23 2024
R-4.3-macOKNov 23 2024

Exports:FakeDataGeneratorPlot.ACFPlot.AreaPlot.BarPlot.BarPlot3DPlot.BinaryMetricsPlot.BoxPlot.Calibration.BoxPlot.Calibration.LinePlot.ConfusionMatrixPlot.CopulaPlot.Copula3DPlot.CorrMatrixPlot.DensityPlot.DonutPlot.GainsPlot.HeatMapPlot.HistogramPlot.LiftPlot.LinePlot.PACFPlot.ParallelPlot.PartialDependence.BoxPlot.PartialDependence.HeatMapPlot.PartialDependence.LinePlot.PiePlot.ProbabilityPlotPlot.RadarPlot.Residuals.HistogramPlot.Residuals.ScatterPlot.RiverPlot.ROCPlot.RosetypePlot.ScatterPlot.Scatter3DPlot.ShapImportancePlot.StackedBarPlot.StandardPlotsPlot.StepPlot.VariableImportancePlot.WordCloudPlots.ModelEvaluation

Dependencies:backportsbase64encbroombslibcachemclassclicolorspacecombinatcommonmarkcorrplotcountrycodecpp11crayondata.tabledigestdplyre1071echarts4revaluatefansifarverfastmapfastmatchfontawesomefsgenericsgluehighrhtmltoolshtmlwidgetshttpuvISOcodesjquerylibjsonliteknitrlabelinglaterlatticelifecyclelubridatemagrittrMASSMatrixmemoisemimemunsellnortestnsyllablepillarpkgconfigpromisesproxyproxyCpurrrquantedaquanteda.textstatsR6rappdirsRColorBrewerRcppRcppArmadillorlangrmarkdownrstudioapisassscalesshinySnowballCsourcetoolsstopwordsstringistringrtibbletidyrtidyselecttimechangetinytexutf8vctrsviridisLitewithrxfunxml2xtableyaml

Readme and manuals

Help Manual

Help pageTopics
FakeDataGeneratorFakeDataGenerator
Plot.ACFPlot.ACF
Plot.AreaPlot.Area
Plot.BarPlot.Bar
Plot.BarPlot3DPlot.BarPlot3D
Plot.BinaryMetricsPlot.BinaryMetrics
Plot.BoxPlot.Box
Plot.Calibration.BoxPlot.Calibration.Box
Plot.Calibration.LinePlot.Calibration.Line
Plot.ConfusionMatrixPlot.ConfusionMatrix
Plot.CopulaPlot.Copula
Plot.Copula3DPlot.Copula3D
Plot.CorrMatrixPlot.CorrMatrix
Plot.DensityPlot.Density
Plot.DonutPlot.Donut
Plot.GainsPlot.Gains
Plot.HeatMapPlot.HeatMap
Plot.HistogramPlot.Histogram
Plot.LiftPlot.Lift
Plot.LinePlot.Line
Plot.PACFPlot.PACF
Plot.ParallelPlot.Parallel
Plot.PartialDependence.BoxPlot.PartialDependence.Box
Plot.PartialDependence.HeatMapPlot.PartialDependence.HeatMap
Plot.PartialDependence.LinePlot.PartialDependence.Line
Plot.PiePlot.Pie
Plot.ProbabilityPlotPlot.ProbabilityPlot
Plot.RadarPlot.Radar
Plot.Residuals.HistogramPlot.Residuals.Histogram
Plot.Residuals.ScatterPlot.Residuals.Scatter
Plot.RiverPlot.River
Plot.ROCPlot.ROC
Plot.RosetypePlot.Rosetype
Plot.ScatterPlot.Scatter
Plot.Scatter3DPlot.Scatter3D
Plot.ShapImportancePlot.ShapImportance
Plot.StackedBarPlot.StackedBar
Plot.StandardPlotsPlot.StandardPlots
Plot.StepPlot.Step
Plot.VariableImportancePlot.VariableImportance
Plot.WordCloudPlot.WordCloud
Plots.ModelEvaluationPlots.ModelEvaluation