qualityAssessment: Quality Assessment for MicroRNA Expression Estimates
In miRcomp: Tools to assess and compare miRNA expression estimatation methods

Description Usage Arguments Value Author(s) Examples

This function produces several figures to examine quality scores.

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qualityAssessment(object1, object2=NULL, cloglog1=FALSE, cloglog2=FALSE, 
                  na.rm=FALSE, plotType=c("scatterplot","boxplot"), 
                  label1=NULL, label2=NULL)

`object1`	a list containing two elements: ct (the expression estiamtes) and qc (quality scores)
`object2`	an optional second list of the same format as object1, used to compare two methods.
`cloglog1`	if TRUE, the -log(-log(object1$qc)) is plotted. This is useful to visualize certain quality scores such as R-squared.
`cloglog2`	if TRUE, the -log(-log(object2$qc)) is plotted. This is useful to visualize certain quality scores such as R-squared.
`na.rm`	if TRUE, quality scores corresponding to NA expression estimates are removed from analysis. This is only used if plotType=="boxplot".
`plotType`	type of plot to return. Options are a scatterplot or a boxplot.
`label1`	optional label corresponding to object 1 to be used in plotting.
`label2`	optional label corresponding to object 2 to be used in plotting.

The function generates a plot of the desired type.

Matthew N. McCall

  data(lifetech)
  qualityAssessment(lifetech, plotType="boxplot")

  data(qpcRdefault)
  qualityAssessment(object1=lifetech,object2=qpcRdefault,cloglog2=TRUE)