[R] least summed square distance + fit
Jonathan Baron
baron at cattell.psych.upenn.edu
Tue May 14 13:07:20 CEST 2002
Take a look at optim() in the base package. I've used it for
things like this, and it works beautifully. Perhaps there is
something more specific, but I don't know it. Jon
On 05/14/02 12:32, Jan Malte Wiener wrote:
>hi,
>I have a matrix (representing original data) that looks e.g. like this
>(consider it beeing x,y,z coords):
>441 447 0
>265 407 0
>374 223 0
>288 574 0
>669 309 0
>591 195 0
>595 475 0
>424 351 0
>
>I get a second matrix (subject data) that is similiar to the above
>matrix but it is scaled, translated and rotated (and of course a little
>inprecise).
>Also I have an errorfunction that sums up the squared distances of
>corresponding points of orig matrix and subject matrix.
>
>And here comes my problem:
>I now need an fitting function that scales, rotates and translates my
>subject matrix so that the error (computed by the errorfunction) is
>minimized.
>Since I am new to R and actually new to that problem, I would be glad if
>someone could tell me if there is a precompiled fitting procedure that
>fits my requirements.
>
>greetinx jan
>
>
>
>--
>Jan Malte Wiener
>Max-Planck-Institute for Biological Cybernetics
>Spemannstr. 38, 72076 Tuebingen, Germany
>Tel.: +49 7071 601 631
>Email: jan.wiener at tuebingen.mpg.de
>
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--
Jonathan Baron, Professor of Psychology, University of Pennsylvania
Home page: http://www.sas.upenn.edu/~baron
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