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 m
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 gettin
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