accuracy {miRcomp} | R Documentation |
This function assesses the signal detect slope (a measure of accuracy) for each feature.
accuracy(object1, qcThreshold1, object2=NULL, qcThreshold2=NULL, commonFeatures=TRUE, bins=3, label1=NULL, label2=NULL)
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. |
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.
Matthew N. McCall
data(lifetech) accuracy(object1=lifetech,qcThreshold1=1.25) data(qpcRdefault) accuracy(object1=lifetech,qcThreshold1=1.25, object2=qpcRdefault,qcThreshold2=0.99)