ROCplot_eumelareg: Plot ROC curve with youden index and auc.

In MBender1992/emR: Dictionary for EuMelaReg functions (analysis of clinical studies)

Plot ROC curve with youden index and auc.

Description

This function plots a default EuMelaReg ROC curve using the package plotROC(). By default Youden-Index and AUC are printed and displayed in the graph. Additional ggplot layers can be added to the graph.

Usage

ROCplot_eumelareg(
  predictions,
  labels,
  print.auc = TRUE,
  print.cutoff = TRUE,
  cutoff.method = c("youden", "closest.topleft"),
  auc.label.x = 0.7,
  auc.label.y = 0.1,
  cutoff.label.x = 0.15,
  cutoff.label.y = 0.9,
  textsize = 12
)

Arguments

predictions	vector containing predicted probabilities obtained from a prediction model.
labels	observed labels of two outcome possibilities. Preferred are binomial values with 0 = control and 1 = case.
print.auc	logical value to decide whether auc should be printed within plot. Default is TRUE.
print.cutoff	logical value to decide whether cutoff should be printed within plot. Default is TRUE.
cutoff.method	method to be used to calculate cutoff. Allowed values are "youden" and "closest.topleft".
auc.label.x	x-coordinate of auc label.
auc.label.y	y-coordinate of auc label.
cutoff.label.x	x-coordinate of cutoff label.
cutoff.label.y	y-coordinate of cutoff label
textsize	argument to define size of axes title, axes text and plot text.

MBender1992/emR documentation built on Feb. 18, 2025, 9:21 a.m.