Compare multiple ROC plots.

Plot multiple receiver operating characteristic curves from the same data.frame.

ROCPlotList(
  frame,
  xvar_names,
  truthVar,
  truthTarget,
  title,
  ...,
  palette = "Dark2"
)

ROCPlotPairList(
  frame,
  xvar_names,
  truthVar,
  truthTarget,
  title,
  ...,
  palette = "Dark2"
)

ROCListPlot(
  frame,
  xvar_names,
  truthVar,
  truthTarget,
  title,
  ...,
  palette = "Dark2"
)

Arguments

frame	data frame to get values from
xvar_names	names of the independent (input or model) columns in frame
truthVar	name of the dependent (output or result to be modeled) column in frame
truthTarget	value we consider to be positive
title	title to place on plot
...	no unnamed argument, added to force named binding of later arguments.
palette	name of a brewer palette (NULL for ggplot2 default coloring)

Details

The use case for this function is to compare the performance of two models when applied to a data set, where the predictions from both models are columns of the same data frame.

If palette is NULL, plot colors will be chosen from the default ggplot2 palette. Setting palette to NULL allows the user to choose a non-Brewer palette, for example with scale_color_manual.

See also

ROCPlot, ROCPlotPair, ROCPlotPair2

Examples

set.seed(34903490)
x1 = rnorm(50)
x2 = rnorm(length(x1))
x3 = rnorm(length(x1))
y = 0.2*x2^2 + 0.5*x2 + x1 + rnorm(length(x1))
frm = data.frame(
   x1 = x1,
   x2 = x2,
   x3 = x3,
   yC = y >= as.numeric(quantile(y,probs=0.8)))
WVPlots::ROCPlotList(
   frame = frm,
   xvar_names = c("x1", "x2", "x3"),
   truthVar = "yC", truthTarget = TRUE,
   title = "Example ROC list plot")