transformRawToGroupedSum <- function(x, y, z){
# Purpose:
# Transform three vectors into one data frame which can then be editted by this package
#
# Inputs:
# x - a vector containing the x values
# y - a vector containing the y values
# z - a vector containing the numeric z values
#
# Outputs:
# A data frame that can then be editted by this package
oldDataFrame <- data.frame('x' = x,
'y' = y,
'z' = z)
oldDataFrame <- na.omit(oldDataFrame)
oldDataFrame[, 1] <- as.factor(oldDataFrame[, 1])
oldDataFrame[, 2] <- as.factor(oldDataFrame[, 2])
# Create a table containing the combinations
tempTable <- table(oldDataFrame[, 1:2])
# Transform the table into data frame
newDataFrame <- data.frame('x' = c(0),
'y' = c(0),
'z' = c(0))
for (i in 1:nrow(tempTable)){
for (j in 1:ncol(tempTable)) {
tempDataFrame <- oldDataFrame[which(oldDataFrame[, 1] == rownames(tempTable)[i]), ]
tempDataFrame <- tempDataFrame[which(tempDataFrame[, 2] == colnames(tempTable)[j]), ]
tempSum <- sum(tempDataFrame[, 3])
newDataFrame <- rbind(newDataFrame,
c(rownames(tempTable)[i],
colnames(tempTable)[j],
tempSum))
}
}
newDataFrame <- newDataFrame[-c(1), ]
return(newDataFrame)
}
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