getRoc {casper} | R Documentation

## Operating characteristics of differential expression analysis

### Description

`getRoc` compares simulation truth and data analysis results to determine False Positives (FP), False Negatives (FP), True Positives (TP), True Negatives (TN), Positives (FP+TP), False Discovery Proportion (FP/P) and Power (TP/(TP+FN)).

### Usage

    getRoc(simTruth, decision)

### Arguments

`simTruth` | Binary vector or matrix indicating simulation truth (`FALSE` or 0 for non differential expression, `TRUE` or 1 for differential expression)
`decision` | Binary vector or matrix with differential expression calls based on some data analysis.

### Value

`data.frame` with TP, FP, TN, FN, P, FDR and Power.

### Methods

`signature(simTruth='logical',decision='logical')`

  Operating characteristics are computed for a single simulation

`signature(simTruth='numeric',decision='numeric')`

  Operating characteristics are computed for a single simulation

`signature(simTruth='matrix',decision='matrix')`

  `simTruth` and `decision` contain truth and calls for several simulations (in columns). `getRoc` returns a data.frame with operating characteristics in each simulation.

### Author(s)

David Rossell

### Examples

    ## See help(probNonEquiv) for an example

[Package casper version 2.20.0 Index]