roc.auc.matrix: ROC AUC calculation for a matrix of variables
In microbiome/microbiomeold: Tools for microbiome analysis

ROC AUC calculation for a matrix of variables

1	roc.auc.matrix(dat, true.positives)

`dat`	Data matrix (variables x samples)
`true.positives`	known true positive samples

The samples are ordered for each row (variable) from the highest to the lowest score, and ROC/AUC value is calculated based on this ordering.

Vector of ROC AUC values for each variable

See citation('microbiome')

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data(peerj32)
  dat <- peerj32$microbes
  res <- roc.auc.matrix(dat, sample(colnames(dat)))

microbiome/microbiomeold documentation built on May 22, 2019, 9:57 p.m.

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