accuracy {miRcomp} | R Documentation

## Assess the accuracy of the expression estimates

### Description

This function assesses the signal detect slope (a measure of accuracy) for each feature.

### Usage

    accuracy(object1, qcThreshold1, object2=NULL, qcThreshold2=NULL,
    commonFeatures=TRUE, bins=3, label1=NULL, label2=NULL)

### Arguments

`object1` | a list containing two elements: ct (the expression estimates) and qc (quality scores)
`qcThreshold1` | a numeric threshold corresponding to object1$qc below which values are considered low quality.
`object2` | an optional second list of the same format as object1, used to compare two methods.
`qcThreshold2` | a numeric threshold corresponding to object2$qc below which values are considered low quality.
`commonFeatures` | if TRUE and object2 is non-NULL, only high quality non-NA features in common between both objects are used.
`bins` | the number of bins to divide the data into.
`label1` | optional label corresponding to object 1 to be used in plotting.
`label2` | optional label corresponding to object 2 to be used in plotting.

### Value

A plot of signal detect slopes stratified by difference in pure sample expression is produced, and a summary (median and MAD) of the signal detect slopes in each bin is returned.

### Author(s)

Matthew N. McCall

### Examples

      data(lifetech)
      accuracy(object1=lifetech,qcThreshold1=1.25)
      data(qpcRdefault)
      accuracy(object1=lifetech,qcThreshold1=1.25,
               object2=qpcRdefault,qcThreshold2=0.99)

[Package miRcomp version 1.16.0 Index]