Hello, I have a fairly large data.frame. (About 150,000 rows of 100 variables.) There are case IDs, and multiple entries for each ID, with a date stamp. (i.e. records of peoples activity.)
I need to iterate over each person (record ID) in the data set, and then process their data for each date. The processing part is fast, the date part is fast. Locating the records is slow. I've even tried using data.table, with ID set as the index, and it is still slow. The line with the slow process (According to Rprof) is: j <- which( d$id == person ) (I then process all the records indexed by j, which seems fast enough.) where d is my data.frame or data.table I thought that using the data.table indexing would speed things up, but not in this case. Any ideas on how to speed this up? Thanks! -- Noah Silverman, M.S., C.Phil UCLA Department of Statistics 8117 Math Sciences Building Los Angeles, CA 90095 ______________________________________________ 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.
