R help - Nov 2008 - Zoo seems to be running slow in R 2.8.0 windows

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

as a follow up I am using the same things as above in 2.7.2 and it
works just fine...

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
>


-- 
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

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
>
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