Package index • plotROC

Layers

ggplot2 Layers for ROC curves

plotROC-package plotROC: Tools for plotting ROC Curves

GeomRoc geom_roc(): Empirical Receiver Operating Characteristic Curve

geom_rocci() GeomRocci: Confidence regions for the ROC curve

StatRoc stat_roc(): Calculate the empirical Receiver Operating Characteristic curve

StatRocci stat_rocci(): Calculate confidence regions for the empirical ROC curve

style_roc(): Add guides and annotations to a ROC plot

direct_label(): Add direct labels to a ROC plot

shiny_plotROC(): Start the plotROC Shiny app

export_interactive_roc(): Generate svg code for an ROC curve object

Calculations

Internal and other calculations

calc_auc(): Calculate the Area under the ROC curve

melt_roc(): Transform biomarkers stored as wide to long

verify_d(): Check that D is suitable for using as binary disease status

Deprecated functions

No need to use these anymore

ggroc(): Plot an ROC curve

multi_ggroc(): Plot multiple ROC curves

calculate_multi_roc(): Calculate the Empirical ROC curves for multiple biomarkers

calculate_roc(): Calculate the Empirical ROC curve

getD3(): Reads included JavaScript functions and returns them as a string for pasting into a webpage

plot_journal_roc(): Plot an ROC curve for use in print

plot_interactive_roc(): Generate a standalone html document displaying an interactive ROC curve

roc_key(): Key for ROC geom