Hi,
Maybe you can put the sqlite database somewhere else in the package, for
example:
inst/sqlite/data.sqlite
and access it like this :
db <- system.file( "sqlite", "data.sqlite", package = "YourPackage" )
Romain
On 09/15/2009 09:07 PM, Steve Lianoglou wrote:
Hi all,
I'm putting together some common code + data into a custom package,
everything is working out fine, but the ``R CMD INSTALL MyPackage`` call
seems to take a particularly long time in the "**data" step:
$ R CMD INSTALL MyPackage/
* installing to library ‘/Library/Frameworks/R.framework/Resources/library’
* installing *source* package ‘ MyPackage’ ...
** R
** data
(here)
I have a handful of not-very-big *.rda files in my data dir, but also a
rather large sqlite db.
Is R trying to do anything in particular to my data during the install?
index or something? Is there anything I can do to make this step go faster?
If this were a 1-time install, it wouldn't matter, but since this
package is evolving as I'm using it, I find myself constantly needing to
tweak some code here, or change something there, and this always
requires another round of R CMD INSTALLing ...
Is there something I can do to make this cycle turn around quicker? How
do you guys deal with growing a package organically during your analyses?
For this particular situation, I reckon I can create a separate package
for my dataset since its static (and I might do eventually down the
road, anyway), but I'm wondering if there are other alternatives.
Thanks,
-steve
--
Steve Lianoglou
Graduate Student: Computational Systems Biology
| Memorial Sloan-Kettering Cancer Center
| Weill Medical College of Cornell University
Contact Info: http://cbio.mskcc.org/~lianos/contact
--
Romain Francois
Professional R Enthusiast
+33(0) 6 28 91 30 30
http://romainfrancois.blog.free.fr
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