Hey All, I have just recently thought of a completely different way to accomplish my analysis (requiring different type of coding)
Instead of going in and filling in data, I could remove any dates not shared by ALL the id's. I was thinking about accomplishing this using merge(~~), do you think this is feasible? It might take up a bunch of memory at first, going through and subsetting the data.frame by id. "Sample Data.Frame format Name is Returns.names X id ticker date_ adjClose totret RankStk 427225 427225 00174410 AHS 2001-11-13 21.66 100 1235 "id" uniquely defines a row What I am trying to do is add missing data for each ID. Important Information: Date is not continuous, the data points are for trading days, so weekends/certain holidays are off x<-unique(Returns.names$date_) gives me the list of all the possible trading days. For days that are missing, I would like to add a row for that date & the same totret as the previous day. I cant think of an easy way to do this" -- View this message in context: http://r.789695.n4.nabble.com/Adding-in-Missing-Data-tp2246825p2246946.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.