multi_ggroc: Plot multiple ROC curves

Description

Given a list of results computed by calculate_roc, plot the curve using ggplot with sensible defaults. Pass the resulting object and data to export_interactive_roc, plot_interactive_roc, or plot_journal_roc.

Usage

multi_ggroc(datalist, fpf_string = rep("FPF", length(datalist)),
  tpf_string = rep("TPF", length(datalist)), c_string = rep("c",
  length(datalist)), label = NULL, legend = FALSE, label.adj.x = rep(0,
  length(datalist)), label.adj.y = rep(0, length(datalist)),
  label.angle = rep(45, length(datalist)), plotmath = FALSE,
  xlabel = "False positive fraction", ylabel = "True positive fraction")

Arguments

datalist

List of data frames each containing true and false positive fractions and cutoffs

fpf_string

Column names identifying false positive fraction

tpf_string

Column names identifying true positive fraction

c_string

Column names identifying cutoff values

label

Optional vector of direct labels for the ROC curve, same length as datalist

legend

If true, draws legend instead of labels

label.adj.x

Adjustment for the positioning of the label, same length as datalist

label.adj.y

Adjustment for the positioning of the label, same length as datalist

label.angle

Adjustment for angle of label, same length as datalist

plotmath

Logical. If TRUE, labels will be parsed as expressions. See ?plotmath for details.

xlabel

Defaults to "False positive fraction"

ylabel

Defaults to "True positive fraction"

Value

A ggplot object