precision {miRcomp} | R Documentation

## Assess the precision of the expression estimates

### Description

This function assesses the within-replicate precision for each feature.

### Usage

    precision(object1, qcThreshold1, object2=NULL, qcThreshold2=NULL,
              commonFeatures=TRUE, statistic=c("sd","cv"),
              scale=c("none","log","log10"), bins=3,
              label1=NULL, label2=NULL)

### Arguments

`object1` | a list containing two elements: ct (the expression estiamtes) 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.
`statistic` | whether to compute the standard deviation (sd) or coefficient of variation (cv).
`scale` | optional scaling of the values. This can help with visualizing the distributions.
`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 boxplot of either the standard deviation or coefficient of variation stratified by expression is produced. The values plotted in each box of the boxplot are returned.

### Author(s)

Matthew N. McCall

### Examples

      data(lifetech)
      tmp1 <- precision(object1=lifetech,qcThreshold1=1.25)
      data(qpcRdefault)
      tmp2 <- precision(object1=lifetech,qcThreshold1=1.25,
               object2=qpcRdefault,qcThreshold2=0.99)

[Package miRcomp version 1.16.0 Index]