plotROC: Utility function to plot multiple ROC curves against each...
In andybeeching/discern: A Collection of Utilities for Data Analyse

- Comparison helps determine which models favour more TPs or less FPs - Curves are shown overlaid in the same panel upto a max threshold, upon when a new panel will be created.

1	plotROC(models, res, predictor, cv, colors, titles, maxCurves = 3)

`models`	List - List of model objects (Models expected to have been trained with the "ROC" error metric.
`res`	String - Response variable of each model
`predictor`	String - Variable to predict in cv dataset
`cv`	Data - Cross-validation data set containing Predictor
`colors`	List - Optional; List of colors for each model
`maxCurves`	Number - Optional; # curves per panel, defaults to 3.
`labels`	List - Optional; List of labels for each model

plotROC(
  models    = list(glmFit4, adaFit, rfFit, svmFit, cfFit),
  res       = "Foo",
  predictor = "Bar",
  cv        = valid,
  colors    = c("black", "orange", "yellow", "green", "red")
)