mROC: mROC
In plger/RNAontheBENCH: RNAontheBENCH - Benchmark of RNAseq quantification and DEA

Plots superposed ROC curves.

1 2	mROC(tests, sig, show.AUC = TRUE, thres = 0.01, lwd = 2, rounding = 3, na.rm = TRUE, colors = NULL, ...)

`tests`	A list of tests, each element of which should be a data.frame with a "p" column indicating the p-value under that test.
`sig`	A logical vector indicating whether each row of elements in 'tests' is actually differentially-expressed (TRUE) or not. If this is a named vector, the names will be used to order the rows in 'tests', otherwise they are assumed to be ordered in the same way.
`show.AUC`	Logical; whether to show the area under the curve in the figure's legend. Default TRUE.
`thres`	Numeric value between 0 and 1, indicating the p-value treshold to be plotted on each curve. Set to NULL to plot no threshold.
`lwd`	Line width, passed to the plotting functions. Default 2.
`rounding`	The rounding (number of digits) of log-transformed p-values at which to plot (default 3). Increasing this number will increase the resolution of the curve, but also increase execution time.
`colors`	A vector of colors for the different tests. If NULL (default), R basic colors are used.
`...`	Any further argument passed to the initial plot function.