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

[stephen sefick]

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
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