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splitTidyMeasurementsForExport <- function(measurements, proteinInfos){
# Convert the data obtained by the 'tpptrSplineFitAnd Test' function into a
# format that can be used by the 'mergeOutputTables_TR' function in order
# to create the final result table.
## Initialize variables to prevent "no visible binding for global
## variable" NOTE by R CMD check:
uniqueID = experiment = colName = newColName = y = variable = value <- NULL
emptyDF <- data.frame(Protein_ID = measurements$uniqueID) %>% distinct
# Convert measurements from long to wide:
fcDF <- measurements %>%
arrange(uniqueID, experiment, colName) %>% # to do: replace the 'colName' column by a more meaningfull name (created by function 'eSetsToLongTable_fc')
mutate(newColName = paste(colName, experiment, sep = "_")) %>%
mutate(newColName = factor(newColName, levels = unique(newColName))) %>%
select(uniqueID, y, newColName) %>%
spread(newColName, y) %>%
rename(Protein_ID = uniqueID)
# Convert further protein annotation from long to wide:
if (!is.null(proteinInfos)){
rmCols <- c("plot",
meltCurveParamNames(returnParNames = TRUE,
returnPerformanceInfo = TRUE))
infoTabfiltered <- proteinInfos %>%
arrange(uniqueID, experiment, variable) %>%
filter(!variable %in% rmCols)
if (nrow(infoTabfiltered) > 0){
otherAnnotDF <- infoTabfiltered %>%
mutate(newColName = paste(variable, experiment, sep = "_")) %>%
mutate(newColName = factor(newColName, levels = unique(newColName))) %>%
select(uniqueID, value, newColName) %>%
spread(newColName, value) %>%
rename(Protein_ID = uniqueID)
} else {
otherAnnotDF <- emptyDF
}
} else {
otherAnnotDF <- emptyDF
}
## Store in a list that can be used by the 'mergeOutputTables_TR' function.
dataList <- list(fcDF = fcDF,
curveParDF = emptyDF,
plotCol = emptyDF,
presenceDF = emptyDF,
modelInfoDF = emptyDF,
otherAnnotDF = otherAnnotDF)
return(dataList)
}
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