From saveez at hotmail.com  Mon Apr 25 20:52:02 2005
From: saveez at hotmail.com (Ali -)
Date: Mon Apr 25 20:52:17 2005
Subject: [Rd] Speeding up library loading
In-Reply-To: <426D383A.1070208@statistik.uni-dortmund.de>
Message-ID: <BAY17-F33CE9F0BF730E75419D3B9D1200@phx.gbl>


>4Mb R file just containing .Call()s? Never seen something like that.
>If these are all very small functions, lazy load won't be of that 
>advantage, because you have to load the index file anyway.
>
>You know, R including all base and recommended packages has just ~ 6Mb of R 
>code. Are you really sure about your code?

Positively. The wrapped library is actually much bigger than R, it brings a 
few hundered new classes to R. The library has been already wrapped to other 
languages like java, and the loading speed for these other languages is 
quite reasonable. I cannot see any reasons why not this can be done with R 
too -- as a computational application R is supposed to be efficient in all 
ways.

It seems that, so far, no packages as big as this one have been created for 
R. I would appreciate any clues from the development team for improving the 
performance of big packages in R.


[Rd] Speeding up library loading
Ali -