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.

Version: 1.3.0
Depends: R (≥ 3.4.0), wrapr (≥ 2.0.2)
Imports: ggplot2 (≥ 3.3.0), sigr (≥ 1.1.2), cdata (≥ 1.1.8), rqdatatable (≥ 1.2.8), rquery (≥ 1.4.5), utils, grid, gridExtra, graphics, mgcv, stats
Suggests: knitr, rmarkdown, RUnit, plotly, hexbin
Published: 2020-10-03
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount at win-vector.com>
BugReports: https://github.com/WinVector/WVPlots/issues
License: GPL-2 | GPL-3
URL: https://github.com/WinVector/WVPlots, https://winvector.github.io/WVPlots/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: WVPlots results


Reference manual: WVPlots.pdf
Vignettes: WVPlots concept
WVPlots examples
Package source: WVPlots_1.3.0.tar.gz
Windows binaries: r-devel: WVPlots_1.3.0.zip, r-release: WVPlots_1.3.0.zip, r-oldrel: WVPlots_1.3.0.zip
macOS binaries: r-release: WVPlots_1.3.0.tgz, r-oldrel: WVPlots_1.3.0.tgz
Old sources: WVPlots archive


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