foldLibrary <- function(DT_featureLibrary, cvFolds, seed){
## Error-checking inputs
if(cvFolds <= 0 && round(cvFolds) != cvFolds){
stop("cvFolds must be a whole number (and greater than 0)")
}
if(round(seed) != seed){
stop("seed must be an integer")
}
## Seed
set.seed(seed)
## Find first column index of runs
minimumCol <- min(grep("ExactMass", colnames(DT_featureLibrary)))
keepCols <- 1:minimumCol
## Create random partitions based on 'cvFolds'
folds <- createFolds((minimumCol+1):ncol(DT_featureLibrary), cvFolds)
## Initialize return list of data table partitions
DT_return <- vector(mode = "list", length = length(folds))
## Store folds in return data table
for(i in seq_along(folds)){
folds[[i]] <- folds[[i]] + minimumCol
folds[[i]] <- c(keepCols, folds[[i]])
DT_return[[i]] <- DT_featureLibrary[, folds[[i]], with=F]
}
return(DT_return)
}
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