See ?Rprof On Tue, Nov 4, 2008 at 12:01 PM, stephen sefick <[EMAIL PROTECTED]> wrote: > R version 2.8.0 (2008-10-20) > i386-pc-mingw32 > > locale: > LC_COLLATE=English_United States.1252;LC_CTYPE=English_United > States.1252;LC_MONETARY=English_United > States.1252;LC_NUMERIC=C;LC_TIME=English_United States.1252 > > attached base packages: > [1] stats graphics grDevices utils datasets methods base > > other attached packages: > [1] StreamMetabolism_0.01 chron_2.3-24 zoo_1.5-4 > > loaded via a namespace (and not attached): > [1] grid_2.8.0 lattice_0.17-15 > > > I have a large data set that I have been reading in the same way > read.production() from the StreamMetabolism package and it has worked > in the past without a hitch > > ##########code provided############# > read.production <- function(data) { read.zoo(data, sep = ",", FUN = > fmt.chron, header = TRUE)} > > fmt.chron <- function (x) {chron(sub(" .*", "", x), gsub(".* (.*)", > "\\1:00", x))} > > this is the first time that I have used this data since the upgrade to > 2.8 and it is taking longer to preform operations. What can I do to > help diagnose the problem. I know this is not reproducible, but I > don't know without sharing the entire data set how to do that. > Thanks in advance > > > -- > Stephen Sefick > Research Scientist > Southeastern Natural Sciences Academy > > Let's not spend our time and resources thinking about things that are > so little or so large that all they really do for us is puff us up and > make us feel like gods. We are mammals, and have not exhausted the > annoying little problems of being mammals. > > -K. Mullis > > ______________________________________________ > 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. >
______________________________________________ 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.