plotROC: Plot multiple performance curves in one graph

In novasmedley/gbmSpm: Find predictive sequential patterns for clinical glioblastoma patients

Description

Plot multiple performance curves in one graph

Usage

plotROC(ptitle, fn, rocs, aucs, names, outDir, perfTheme, scaleX, scaleY,
  scaleColor)

plotPR(ptitle, fn, prs, aucs, names, outDir, perfTheme, scaleX, scaleY,
  scaleColor)

Arguments

ptitle	plot title
fn	plot filename
rocs	list of ROCs, each containing dataframe with columns: x false positive rate y true positive rate L1 names of different ROCs to differeniate x and y (important if there are multiple ROCs)
aucs	area under the ROC values matching the order of names
names	names of the different ROCs in L1, to be included in legend name
outDir	directory to put fn, the plot
perfTheme	ggplot2 theme() object to include plot formats
scaleX	scale_x_continuous, format of x scale
scaleY	scale_y_continuous, format of y scale
scaleColor	scale_color_manual, specify colors
prs	list of precision-recall curves, each containing dataframe with columns: x recall y precision L1 names of different curvers to differeniate x and y (important if there are multiple)

novasmedley/gbmSpm documentation built on May 17, 2019, 10:39 a.m.