completeFeatures {miRcomp} | R Documentation |
This function determines the number of features that are good quality and non-NA across all samples using a given quality threshold.
completeFeatures(object1, qcThreshold1, object2=NULL, qcThreshold2=NULL, label1=NULL, label2=NULL)
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. |
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 table of the number of complete, partial, and absent features.
Matthew N. McCall
data(lifetech) completeFeatures(object1=lifetech,qcThreshold1=1.25) data(qpcRdefault) completeFeatures(object1=lifetech,qcThreshold1=1.25, object2=qpcRdefault,qcThreshold2=0.99)