I have some member order data that I would like to aggregate by week of order.
This is what the data looks like:
memberorders=data.frame(MemID=c(\'A\
Using the plyr package one could do
plyr
ddply(memberorders,.(MemID), summarise, val1 = sum(value[week<=2]), val2 = sum(value[week<=4]), val3 = length(value[week<=2]), val4 = length(value[week<=4])) MemID val1 val2 val3 val4 1 A 30 30 2 2 2 B 10 20 1 2 3 C 5 35 1 2 4 D 3 3 1 1