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
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