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#internal function to read WASIM-output files
`myRead.table` <- function (name, subcatchments, has_stat, ts.length, na.values){
t.data<-array(dim=c(subcatchments+has_stat,ts.length)) #allocate memory for all subbasins and stats column
col <- paste(sep="", "c", 1:subcatchments)
if(has_stat==TRUE){
cols = c("Year","Month","Day","Hour",col, "stat")
} else {
cols = c("Year","Month","Day","Hour",col)
}
colClasses=c(rep("integer",4),rep("numeric",subcatchments+has_stat)) #specify data format of column (increases speed, catches "NAN" etc. in output)
table <- read.table(name,row.names=NULL, na.strings=na.values, skip=3, nrows=ts.length ,col.names = cols,colClasses=colClasses)
table[is.na(table)]=NaN #mark NaNs to be distinguished from NAs
nas <- c()
if(NROW(table[[1]])<ts.length){
cat( "Warning: table ", name, "has length ", NROW(table[[1]]), "expecting length", ts.length, "- filling with NA \n")
nas <- rep(NA, ts.length-NROW(table[[1]])) #NAs to be appended (for filling missing data to achieve desired length)
}
for(j in 1:(subcatchments+has_stat)){
t.data[j,] <- c(table[,j+4], nas)
}
return(t.data)
}
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