plotMultiROC: Multiple ROC plots in one and also faceted

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

Description

Plots multiple ROC or PR curves in one plot (i.e., different models), and faceted by another variable (i.e., different classification task)

Usage

plotMultiROC(fn, rocsList, aucsList, listOrder, legendTitle, printIt, outDir,
  perfTheme, scaleX, scaleY, perfGuide)

plotMultiPR(fn, prsList, aucsList, listOrder, legendTitle, printIt, outDir,
  perfTheme, scaleX, scaleY, perfGuide)

Arguments

fn	plot filename
rocsList	named 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, i.e., training vs testing)
aucsList	named list of area under the ROC values
listOrder	order of plotting for legend labeling of multipe ROC or PR curves
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
prsList	named list of precision-recall curves, each containing dataframe with columns: x recall y precision L1 names of different ROCs to differeniate x and y (important if there are multiple ROCs, i.e., training vs testing)

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