Plots a fbroc.paired.roc
object and shows the two paired ROC curves. The confidence
regions for the ROC curves and the performance estimates and confidence bounds for a specified metric
can also be included in the plot.
1 2 3 4 5 
x 
An object of class 
col1 
Color in which the ROC curve of the first classifier is drawn. 
fill1 
Color used for areas (confidence regions, AUCs and partial AUCs) belonging to the first ROC curve. 
col2 
Color in which the ROC curve of the second classifier is drawn. 
fill2 
Color used for areas (confidence regions, AUCs and partial AUCs) belonging to the second ROC curve. 
print.plot 
Logical specifying whether the plot should be printed. 
show.conf 
Logical specifying whether the confidence region should be plotted. 
conf.level 
Confidence level of the confidence region. 
steps 
Number of discrete steps for the FPR at which the TPR is
calculated. TPR confidence intervals are given for all FPRs in

show.metric 
Character specifying which metric to display. See

show.area 
Whether to shade the AUC or partial AUC area. Defaults to !show.conf. 
text.size.perf 
Size of the text display when show.metric is set to 
... 
further arguments passed to 
A ggplot, so that the user can customize the plot further.
boot.paired.roc
1 2 3 4 5 6 7 8 9 10  data(roc.examples)
example < boot.paired.roc(roc.examples$Cont.Pred, roc.examples$Cont.Pred.Outlier,
roc.examples$True.Class, n.boot = 100)
plot(example) # standard plot, no metric shown
plot(example, show.metric = "auc") # Include information about the AUC
plot(example, show.metric = "auc", show.conf = FALSE) # Show area instead
# Highlight TPR at an FPR of 20%
plot(example, show.metric = "tpr", fpr = 0.2)
plot(example, show.metric = "partial.auc", fpr = c(0.2, 0.4),
show.conf = FALSE, show.partial.auc.warning = FALSE) # Show area

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