###############################################################################
## Transform data sets of package qpcR to CyclesSet
###############################################################################
qpcR2CyclesSet <- function(x, cyc = 1, cycleThreshold){
x <- x[order(x[,cyc]),]
if(missing(cycleThreshold)){
fluoData <- x[,-cyc]
rownames(fluoData) <- seq_len(nrow(fluoData))
}else{
fluoData <- x[seq_len(cycleThreshold),-cyc]
rownames(fluoData) <- seq_len(cycleThreshold)
}
fData <- data.frame("Cycle number" = seq_len(nrow(fluoData)),
row.names = seq_len(nrow(fluoData)),
check.names = FALSE,
stringsAsFactors = FALSE)
fMetaData <- data.frame(labelDescription = "Cycle number",
row.names = names(fData), check.names = FALSE,
stringsAsFactors = FALSE)
featureData <- new("AnnotatedDataFrame", data = fData, varMetadata = fMetaData)
samNam <- colnames(fluoData)
pData <- data.frame("Sample name" = samNam,
row.names = samNam, check.names = FALSE,
stringsAsFactors = FALSE)
pMetaData <- data.frame(labelDescription = "Sample name",
row.names = names(pData), check.names = FALSE,
stringsAsFactors = FALSE)
phenoData <- new("AnnotatedDataFrame", data = pData, varMetadata = pMetaData)
new("CyclesSet", exprs = fluoData, featureData = featureData,
phenoData = phenoData)
}
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