merge,sas,conditional,no-match
PROC SQL is probably more suited to this... proc sql ; create table lib.all_emails_march_start as select * from lib.all_emails_march where user not in(select distinct user from lib.replies_ene_2) and user not in(select distinct user from lib.replies_feb_2) and user not in(select distinct user from lib.listings_5 where anomes in ('2014-01', '2014-02')) ; quit...
r,dictionary,data.frame,left-join,no-match
So your problem can be solved by a quick and simple implementation of match. First, here's a quick reproducible example (train <- data.frame(fname = c("Alex", "Jennifer", "David", "Alice"))) # fname # 1 Alex # 2 Jennifer # 3 David # 4 Alice (nam_dict <- data.frame(Name = c("alice", "alex"), Sex =...