ROCPlotList {WVPlots}

Compare multiple ROC plots.

Description

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

Usage

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

if (requireNamespace('data.table', quietly = TRUE)) {
	# don't multi-thread during CRAN checks
		data.table::setDTthreads(1)
}

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")