[Rd] large sysdata.rda file --- strategies?
Dr. Peter Ruckdeschel
peter.ruckdeschel at itwm.fraunhofer.de
Thu Feb 7 15:41:05 CET 2013
to speed up computations in our RobASt family of packages, we use
interpolation on a grid of precomputed values which we save together
with the interpolating functions (results of splinefun essentially)
in sysdata.rda in the R folder of our pkg.
After adding grids for some more models, this file has grown
considerably, even after application of tools::resaveRdaFiles.
At the moment we are at about 2MB (compressed) and 8.8 MB
(uncompressed) and hence R CMD check --as-cran issues a NOTE.
We want to comply with cran policies,
in particular with
> Where a large amount of data is required (even after compression),
> consideration should be given to a separate data-only package which
> can be updated only rarely (since older versions of packages are
> archived in perpetuity).
Q1: Are packages only consisting of a sysdata.rda file thinkable for
submission on CRAN ? Are such pkgs the way to go for w.r.t. to the
If this is the case, how would one document such a package, in particular
if we do not export any objects in the NAMESPACE file?
In addition, with a sysdata.rda-only pkg, R CMD check issues a warning
"Found directory 'R' with no source files" Of course a workaround is
adding a comment-only file comment.R to the R folder.
Q2: Is there a lazy load / lazy data mechanism available for
sysdata.rda ? If so how would one enforce it?
Any suggestions appreciated,
Dr. habil. Peter Ruckdeschel, Abteilung Finanzmathematik, F3.17
Fraunhofer ITWM, Fraunhofer Platz 1, 67663 Kaiserslautern
Telefon: +49 631/31600-4699 Fax : +49 631/31600-5699
E-Mail : peter.ruckdeschel at itwm.fraunhofer.de
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