mergeOutputTables_TR <- function(dataList, pValDF, qualCheckDF){
## Generate final TR output table.
## Concatenate individual data frames produced by upstream functions
## into a wide table that can be exported to Excel.
## Initialize variables to prevent "no visible binding for global
## variable" NOTE by R CMD check:
Protein_ID <- NULL
## Check for missing function arguments
checkFunctionArgs(match.call(), c("dataList"))
## Check if all relevant fields exist in 'dataList':
expectedCols <- c("fcDF", "curveParDF", "plotCol", "presenceDF", "modelInfoDF", "otherAnnotDF")
colExists <- expectedCols %in% names(dataList)
if (!all(colExists)){
stop("The following fileds are missing in dataList: '",
paste(expectedCols[!colExists], collapse = "', '"), "'")
}
allIDs <- dataList$fcDF$Protein_ID
if (is.null(pValDF)){
pValDF <- data.frame(Protein_ID = allIDs)
}
if (is.null(qualCheckDF)){
qualCheckDF <- data.frame(Protein_ID = allIDs)
}
## Retrieve individual data frames and merge them in the desired order
df1 <- dataList$fcDF # Fold change columns
df2 <- dataList$curveParDF # Melting curve parameter columns
df3 <- dataList$plotCol # Plot column
df4 <- dataList$presenceDF # Which proteins where identified in which experiment?
df5 <- dataList$modelInfoDF # Additional quality information about the model fits
df6 <- dataList$otherAnnotDF # Further annotation columns (appended last)
# Merge all data frames:
newList <- list(df1, df2, df3, pValDF, qualCheckDF, df4, df5, df6)
outTable <- join_all(newList, by = "Protein_ID") %>% arrange(Protein_ID)
message("Results table created successfully.\n")
return(outTable)
}
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