On 29/05/2013 23:38, Peter Langfelder wrote:
Hi all,
I maintain the WGCNA package which at present has nearly 200
functions. In the future there will be more. Curious whether it would
be preferable or useful to split the package into a couple different
ones with different aims. Obviously, when one calls a function in R,
package name spaces have to be traversed to find the matching name -
does the speed of this depend on how functions are partitioned into
packages? Any other considerations? My knowledge of R internals in
this regard is pretty non-existent - thanks for any pointers.
Namespace environments are hashed, so essentially lookup is independent
of size. And since lazy-loading the memory footprint depends far more
on what has been used in the session than the number of functions.
In any case, 200 functions is not a 'large' package. 'stats' has nearly
1100 in its namespace .... Performance for really large packages was
improved to the point of a being a non-issue before 2.0.0.
--
Brian D. Ripley, rip...@stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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