Apologies for the late reply. I was out on vacation. I tried setattr() from data.table package and it worked like a magic.
Thanks a lot for the help. setattr() is really faster than "attributes". Regards, SG On 22 February 2014 12:29, Philippe Grosjean <phgrosj...@sciviews.org>wrote: > You can use setattr() in the data.table package. It can be used too on > data.frames or other objects. > Best, > > Philippe Grosjean > > > On 22 Feb 2014, at 03:13, Smart Guy <smartgu...@gmail.com> wrote: > > > Hi All > > > > I am having problem running the 'attributes' command to set a attribute > on > > each column of a large dataset. Dataset has 80 columns and 312407 rows. > Its > > taking more than 60 seconds to set simple attributes like split=TRUE, > > usermissing=FALSE. > > > > Here is the source code, assuming Dataset1 is the one that is large :- > > > > myfunction <- function() > > { > > cat("Before for loop:") > > print(Sys.time()) > > for( colIndex in 1 : 80) > > { > > cat("Before Attr", colIndex) > > print(Sys.time()) > > > > attributes(Dataset1[1]) <- c(attributes(Dataset1[, colIndex]), > list(coldesc > > = c(), usermissing = c(FALSE), missingvalues = NULL, split = c(FALSE), > > levelLabels = c(""))) > > > > cat("After Attr:") > > print(Sys.time()) > > } > > cat("After for loop:") > > print(Sys.time()) > > } > > > > Its my feeling that R is passing all 312407 rows to set 'attributes' on a > > cloumn. > > > > Is there a more efficent way to do this? > > > > > > Thanks, > > SG > > > > [[alternative HTML version deleted]] > > > > ______________________________________________ > > 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. > > > > -- SG [[alternative HTML version deleted]] ______________________________________________ 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.