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# Calculate probabilites for net tracer counts for UHR
# Similarly to the function MassShiftProbabilities in the normal resolution
# mode, this part of the code finds all probabilites of a certain tracer in
# the probability list NatAbuImpurityProbList that are associated with a total
# number of tracer isotope TotalLabel.
# It then sums them up to yield CumProbList.
TracerCountProbabilitiesUHR <- function(MoleculeData,NatAbuImpurityList, verbose) {
NumberTracers <- length(MoleculeData[[1]][["Tracer"]])
MaxLabel <- MoleculeData[[1]][["MaxLabel"]]
NatAbuImpurityShiftList <- NatAbuImpurityList$NatAbuImpurityShiftList
NatAbuImpurityProbList <- NatAbuImpurityList$NatAbuImpurityProbList
CumProbList <- list()
for (TracerNo in seq_len(NumberTracers)) {
if(verbose){message(date(), " :: [TracerNo] ", TracerNo)}
tmpCumProbList <- list()
for (IntrinsicLabel in 0:MaxLabel[TracerNo]) {
if(verbose){message(date(), " :: [IntrinsicLabel] ", IntrinsicLabel)}
tmpCumProb.vec <- vector()
for (TotalLabel in 0:MaxLabel[TracerNo]) {
if(verbose){message(date(), " :: [TotalLabel] ", TotalLabel)}
tmp.idx <- lapply(NatAbuImpurityShiftList[[TracerNo]][[IntrinsicLabel + 1]], function(x) x == TotalLabel)
tmpProb <- unlist(NatAbuImpurityProbList[[TracerNo]][[IntrinsicLabel + 1]])[unlist(tmp.idx)]
tmpCumProb.vec[TotalLabel + 1] <- sum(unlist(lapply(tmpProb, sum)))
} #TotalLabel
tmpCumProbList[[IntrinsicLabel + 1]] <- tmpCumProb.vec
} #IntrinsicLabel
CumProbList[[TracerNo]] <- tmpCumProbList
} #TracerNo
return(CumProbList)
}
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