accuracy: Assess the accuracy of the expression estimates

Description Usage Arguments Value Author(s) Examples

View source: R/accuracy.R

Description

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

Usage

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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

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

miRcomp documentation built on May 2, 2018, 4:40 a.m.