I have a medical insurance claims datafile divided into blocks by member, with
multiple lines per member. I am process these into a one line per member model
matrix. Member block sizes vary from 1 to 50+. I am match attributes in claims
data to columns in the model matrix and
have been getting by with a for loop, but for large file size it takes much too
long. Is there vectorized/apply based method to do this more efficiently?
input data:
member code
1 A
1 C
1 F
2 B
2 E
3 D
3 A
3 B
3 D
4 G
4 A
code.list <- c(A,B,C,D,E)
for(i in 1:n.mbr){
mbr.i <- dat[dat$Rmbr==mbr.list[i],] #EXTRACT BLOCK OF MEMBER CLAIMS
matrix.mat[i,unique(match(mbr.i$code,code.list))] <- 1
}
output model.matrix
Member A B C D E
1 1 0 1 0 0
2 0 1 0 0 1
3 1 1 0 1 0
4 1 0 0 0 0
Craig McKinstry
100 Market, 6th floor
Office: 503-225-6878 | Cell: 509-778-2438
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