[R] Zoo seems to be running slow in R 2.8.0 windows

[Gabor Grothendieck]

Are you sure?

summaryRprof()

says that based on your Rprof.out file that 55% of the time is being spent
in index.search which is for searching help files.


On Tue, Nov 4, 2008 at 12:36 PM, stephen sefick <ssefick at gmail.com> wrote:
> this is from the read.production command
>
> On Tue, Nov 4, 2008 at 12:09 PM, Gabor Grothendieck
> <ggrothendieck at gmail.com> wrote:
>> See ?Rprof
>>
>> On Tue, Nov 4, 2008 at 12:01 PM, stephen sefick <ssefick at gmail.com> 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 at 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.
>>>
>>
>
>
>
> --
> 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
>