fbroc (version 0.2.1)

perf.roc: Calculate performance for bootstrapped ROC curve

Description

Calculates different performance metric for ROC curves based on the bootstrap results saved in an object of class fbroc.roc. Confidence intervals are included.

Usage

perf.roc(roc, metric = "auc", conf.level = 0.95, tpr = NULL, fpr = NULL)

Arguments

roc

An object of class fbroc.roc.

metric

A performance metric. Select "auc" for the AUC, "tpr" for the TPR at a fixed FPR and "fpr" for the FPR at a fixed TPR.

conf.level

The confidence level of the confidence interval.

tpr

The fixed TPR at which the FPR is to be evaluated when fpr is selected as metric.

fpr

The fixed FPR at which the TPR is to be evaluated when tpr is selected as metric.

Value

• A list of class fbroc.perf, containing the elements:
• Observed.Performance
  The observed performance.
• CI.Performance
  Quantile based confidence interval for the performance.
• conf.level
  Confidence level of the confidence interval.
• metric
  Used performance metric.
• params
  Parameters used to further specifiy metric, e.g. fixed TPR.
• n.boot
  Number of bootstrap replicates used.
• boot.results
  Performance in each bootstrap replicate.

See Also

boot.roc, print.fbroc.perf, plot.fbroc.perf

Examples

y <- rep(c(TRUE, FALSE), each = 500)
x <- rnorm(1000) + y
result.boot <- boot.roc(x, y, n.boot = 100)
perf.roc(result.boot, "auc")
perf.roc(result.boot, "auc", conf.level = 0.99)