Hi,
I'm having a dataframe 'Subset1' with a number of factor variables and 160
numerical variables
Now I want to make sums for all rows that have the same values for the
different factor variables, except for the factor variables: VAR1,VAR2,VAR3
who may have the same values.
With the formula given below this works great, but in a situation with 15000
rows and 13 factor variables the calculation takes more than 2 minutes.
So my question is: Does anyone knows if there exists a faster alternative?
Subset1.AGG <-
as.data.frame(aggregate(Subset1[,(ncol(Subset1)-159):ncol(Subset1)],
list(VAR1 = Subset1$VAR1,VAR2=Subset1$VAR2,VAR3 = Subset1$VAR3), FUN=sum) )
Thank you very much for helping me out,
Bert
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