What I would do:
# read in your sample data
mbr - read.table( clipboard, header = TRUE, stringsAsFactors = FALSE )
# create a vector with the codes you want to consider
code.list - c(A,B,C,D,E)
# reduce the data accordingly
mbr - mbr[ mbr$code %in% code.list, ]
# get your model matrix using
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
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