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.


News

WVPlots 0.2.8 2018-01-19

  • Add new performance plot.
  • Switch to new cdata signatures.

WVPlots 0.2.7 2017-11-28

  • Fix documentation fixes.
  • Switch from reshape2 to cdata.
  • Move to wrapr 1.0.2.

WVPlots 0.2.6 2017-08-28

  • Fix plotly labels.

WVPlots 0.2.5 2017-07-04

  • Minor documentation fixes.

WVPlots 0.2.4 2017-05-05

  • More argument checking.
  • NA guard on ScatterHist.
  • plotly ROC.

WVPlots 0.2.3 2017-03-24

  • Fix right-plot alignment in ScatterHist
  • Expose ROC data structures

WVPlots 0.2.2 2017-02-17

WVPlots 0.2.1 2017-01-17

  • Fix warnings.
  • Improve Imports/Depends/Suggests.
  • Fix smoothing bug in BinearyYScatterPlot.

WVPlots 0.2.0 2017-01-15

  • First CRAN submission.

Reference manual

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install.packages("WVPlots")

1.0.0 by John Mount, a month ago


https://github.com/WinVector/WVPlots, https://winvector.github.io/WVPlots/


Report a bug at https://github.com/WinVector/WVPlots/issues


Browse source code at https://github.com/cran/WVPlots


Authors: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]


Documentation:   PDF Manual  


GPL-3 license


Imports ggplot2, wrapr, sigr, cdata, utils, grid, gridExtra, graphics, mgcv

Suggests knitr, testthat, plotly, hexbin


See at CRAN