multivariate all-at-once fits

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Fri, 06/18/2010 - 10:33 am

I read that a new feature for Igor Pro 6 is that "all-at-once fit functions can now implement multivariate fit functions." I understand how this is to be done with 1 dimensional data, but have been able to find instructions on how this should be implemented for multiple dimensions. Any help would be appreciated!
Rischaard wrote:
I read that a new feature for Igor Pro 6 is that "all-at-once fit functions can now implement multivariate fit functions." I understand how this is to be done with 1 dimensional data, but have been able to find instructions on how this should be implemented for multiple dimensions. Any help would be appreciated!


Hm.... it looks like the description is missing from the documentation!

The format is analogous to a regular multivariate fit function. With a univariate fit function you write a function like this:

Function myfunc(w, x) : FitFunc
  Wave w
  Variable x

  ...
end


To make it multivariate, you just add more independent variable inputs:

Function myfunc(w, x1, x2) : FitFunc
  Wave w
  Variable x1, x2

  ...
end


Similarly, the extension for all-at-once fitting functions is to simply add more independent variable inputs:

Function myAllAtOnceFunc(pw, xw1, xw2) : FitFunc
  Wave pw
  wave xw1, xw2

  ...
end


John Weeks
WaveMetrics, Inc.
support@wavemetrics.com

July 6, 2010 at 03:16 pm - Permalink