auROC {limma}R Documentation

Area Under Receiver Operating Curve

Description

Compute exact area under the ROC for empirical data.

Usage

auROC(truth, stat=NULL)

Arguments

truth

logical vector, or numeric vector of 0s and 1s, indicating whether each case is a true positive.

stat

numeric vector containing test statistics used to rank cases, from largest to smallest. If NULL, then truth is assumed to be already sorted in decreasing test statistic order.

Details

This function computes the exact area under an empirical ROC curve. Cases are ranked by stat from largest to smallest. The number of true and false discoveries are determined by how well the true states represented by truth match up with the observed statistics given by stat.

Value

Numeric vector giving area under the curve, 1 being perfect and 0 being the minimum, or NULL if truth has zero length.

Author(s)

Gordon Smyth

See Also

See 08.Tests for other functions for testing and processing p-values.

See also AUC in the ROC package.

Examples

auROC(c(1,1,0,0,0))
truth <- rbinom(30,size=1,prob=0.2)
stat <- rchisq(30,df=2)
auROC(truth,stat)
[Package limma version 3.10.2 Index]