Nothing
PeakML.QCIntensityCorrection <- function (filename, ionisation="detect", Rawpath=NULL, outputfile, QCSample=NULL, RSD=0.3, writeRejected=FALSE)
{
st <- system.time (PeakMLdata <- PeakML.Read (filename,ionisation,Rawpath))
PeakTable <- PeakML.Methods.getCompleteTable (PeakMLdata)
numberOfpeakSets <- ncol(PeakTable[[1]])
## Check which samples are QC's
qcsamples <- which (PeakMLdata$phenoData==QCSample)
if (length(qcsamples)<1)
{
stop ("No samples matching a given names for \"QC's\" are found. Please check if function parameter `QCSample` is set correctly.")
}
Intensities.QC <- PeakTable[[1]][qcsamples,]
Intensities.QC <- rbind(Intensities.QC, NULL)
if (nrow(Intensities.QC)<2)
{
stop ("Only one QC sample is detected. QC RSD correction is not possible.")
}
na.vals <- which(is.na(Intensities.QC))
QC.feature.meadians <-
if (length(na.vals)>0)
{
cat ("Warning, QC sample data contain missing values. Missing data are replaced with median value of current peak set.")
}
Intensities.all <- PeakTable[[1]]
QC.RSD <- apply(Intensities.QC,2,var)
QC.RSD <- sqrt(QC.RSD)/apply(Intensities.QC,2,mean)
to.remove <- which(is.na(QC.RSD))
to.remove <- append (to.remove, which(QC.RSD>RSD))
to.remove <- unique(to.remove)
## Write no matching
if (length(to.remove)>0 & writeRejected==TRUE)
{
PeakML.Methods.extractPeakGroups (PeakMLData=PeakMLdata, outputfile=paste("QC_removed_",outputfile,sep=""), sets=c(1:numberOfpeakSets)[to.remove])
}
# Not macthed from std file
if (length(to.remove)>0)
{
PeakML.Methods.extractPeakGroups (PeakMLData=PeakMLdata, outputfile=outputfile, sets=c(1:numberOfpeakSets)[-c(to.remove)])
} else
{
PeakML.Methods.extractPeakGroups (PeakMLData=PeakMLdata, outputfile=outputfile, sets=c(1:numberOfpeakSets))
}
}
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