If something like the second-order function does not fit your data well, it may well be that the data do not admit a simple structure that you can easily code in C.
If you expect the structure of the function to be simple, tell gam() so by specifying a small dimensional basis (via the k= argument in s()). This will probably ease the computational burden. HTH, Andy > -----Original Message----- > From: RenE J.V. Bertin [mailto:[EMAIL PROTECTED] > Sent: Thursday, February 27, 2003 3:42 PM > To: Wiener, Matthew > Cc: [EMAIL PROTECTED] > Subject: Re: [despammed] RE: [R] multidimensional function fitting > > > On Thu, 27 Feb 2003 13:52:50 -0500, "Wiener, Matthew" > <[EMAIL PROTECTED]> wrote regarding > "[despammed] RE: [R] multidimensional function fitting" > > 8-) Take a look at package mgcv. Hope this helps. --Matt > 8-) > > Thank you, I just did. It may indeed be what I'm looking for > (I haven't quite understood everything about it...), but: > > 1) The best fits I obtain with a formula like z~s(x,y) ; but > this I cannot possibly transport into the C programme where I > need it! Maybe I wasn't clear on this aspect? > > 2) It is very memory hungry, esp. when using the s() > function: I have 192Mb with 256Mb swap (not a lot, but > reasonable I'd say), and I've never had to kill R as often as > when trying gam()... > > R.B. > > ______________________________________________ > [EMAIL PROTECTED] mailing list > http://www.stat.math.ethz.ch/mailman/listinfo/r-help > ------------------------------------------------------------------------------ ______________________________________________ [EMAIL PROTECTED] mailing list http://www.stat.math.ethz.ch/mailman/listinfo/r-help
