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: 1.3.2
Depends: R (≥ 3.4.0), wrapr (≥ 2.0.6)
Imports: ggplot2 (≥ 3.3.0), sigr (≥ 1.1.3), cdata (≥ 1.1.9), rqdatatable (≥ 1.2.9), rquery (≥ 1.4.6), utils, grid, gridExtra, graphics, grDevices, mgcv, stats
Suggests: knitr, rmarkdown, plotly, hexbin, tinytest
Published: 2021-01-10
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

Documentation:

Reference manual: WVPlots.pdf
Vignettes: WVPlots concept
WVPlots examples

Downloads:

Package source: WVPlots_1.3.2.tar.gz
Windows binaries: r-devel: WVPlots_1.3.2.zip, r-release: WVPlots_1.3.2.zip, r-oldrel: WVPlots_1.3.2.zip
macOS binaries: r-release (arm64): WVPlots_1.3.2.tgz, r-release (x86_64): WVPlots_1.3.2.tgz, r-oldrel: WVPlots_1.3.2.tgz
Old sources: WVPlots archive

Linking:

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