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.

Documentation

Manual: WVPlots.pdf
Vignettes:

Maintainer: John Mount <jmount at win-vector.com>

Author(s): Nina Zumel, John Mount

Install package and any missing dependencies by running this line in your R console:

install.packages("WVPlots")

Depends
Imports ggplot2(>=2.2.0), grid, gridExtra, sigr(>=0.1.4), replyr(>=0.2.1), mgcv, reshape2, graphics, wrapr, plotly
Suggests knitr, testthat
Enhances
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Package WVPlots
Materials
URL https://github.com/WinVector/WVPlots
Task Views
Version 0.2.4
Published 2017-05-05
License GPL-3
BugReports https://github.com/WinVector/WVPlots/issues
SystemRequirements
NeedsCompilation no
Citation
CRAN checks WVPlots check results
Package source WVPlots_0.2.4.tar.gz