I am able to import the whole data set into R as well, and then select the required columns. But what I am looking for is to optimize on the run time, as I only need a few columns out of 100s.
Something similar to what fread (package data.table) provides while importing from a CSV file. Utkarsh Singhal 91.96508.54333 On Thu, Aug 10, 2017 at 6:00 PM, Anthony Damico <ajdam...@gmail.com> wrote: > hi, the sas universal viewer might be a free, non-R way to convert a > sas7bdat file to non-proprietary formats, not sure if it's windows-only. > those other formats should be easier to import only a subset of columns into > R.. > > https://support.sas.com/downloads/browse.htm?fil=&cat=74 > > On Thu, Aug 10, 2017 at 7:42 AM, peter dalgaard <pda...@gmail.com> wrote: >> >> I had a look at this a while back and it didn't seem to be easy. The path >> of least resistance would seem to be to use SAS itself to create a data set >> with fewer columns, but of course that requires you to get access to SAS. >> >> Otherwise, I think you'd have to modify sas7bdat::read.sas7bdat to drop >> unselected columns. That function is pure R code, so it might not be quite >> as hard as it sounds. >> >> Incidentally, do teach your mailer to not send plain text. It is not much >> of a problem this time, but HTML mails can become quite unreadable on the >> list. >> >> >> -pd >> >> >> > On 10 Aug 2017, at 12:24 , Utkarsh Singhal <utkarsh....@gmail.com> >> > wrote: >> > >> > Hello everyone, >> > >> > I want to import data from huge sas files with 100s of columns. The good >> > thing is that I am only interested in a few selected columns. Is there >> > any >> > way to do that without loading the full dataset. >> > >> > I have tried two functions: (1) read.sas7bdat *[from library >> > 'sas7bdat']*, >> > and (2) read_sas *[from library 'haven']. *But couldn't find what I am >> > looking for. >> > >> > Best regards, >> > Utkarsh Singhal >> > 91.96508.54333 >> > >> > [[alternative HTML version deleted]] >> > >> > ______________________________________________ >> > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >> > 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. >> >> -- >> Peter Dalgaard, Professor, >> Center for Statistics, Copenhagen Business School >> Solbjerg Plads 3, 2000 Frederiksberg, Denmark >> Phone: (+45)38153501 >> Office: A 4.23 >> Email: pd....@cbs.dk Priv: pda...@gmail.com >> >> ______________________________________________ >> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >> 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. > > ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
