plot_roc: Plot a ROC curve
In clarewest/RFQAmodelr: Random Forest Quality Assessment

Plots a ROC curve for one or more methods

1 2	plot_roc(resultsdf, featurelist, topmodel = FALSE, addhighconf = FALSE, truth = TMScore, cutoff = 0.5, rev = TRUE, relabel = TRUE)

`resultsdf`	data frame
`featurelist`	vector. List of methods/features to plot curves for
`topmodel`	boolean. When true, only the highest-ranking model per target is considered
`addhighconf`	boolean. When true, the TPR and FPR corresponding to the high confidence cutoff (0.5) is indicated
`truth`	string. Optional, the score to use to define a correct model (default TMScore). This is only required if the Label column is not already provided.
`cutoff`	float. Optional, the cutoff to use to define a correct models. See `truth`.