| curvefit question [message #25763] |
Wed, 11 July 2001 15:25  |
Mike Barker
Messages: 2
Registered: June 2001
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Junior Member |
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Hello,
I would like to fit the following function:
y = m2*(x - x0) + m1*x0 + b1
where m2 is the ONLY parameter to be fitted and m1, b1, x0 are
variables (I DO NOT want to fit them). I'm having trouble figuring out
how to do this with curvefit (or any of the other built-in
routines). Curvefit won't let me pass m1, b1, and x0 as parameters. I
tried using a common block to store the variables but I still have to
compile the function before I declare the common block. If anyone could
help I would be forever grateful.
Sincerely,
Mike
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| Re: CurveFit question [message #45775 is a reply to message #25763] |
Tue, 04 October 2005 19:29  |
Craig Markwardt
Messages: 1869
Registered: November 1996
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Senior Member |
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"ChiChiRuiz@gmail.com" <ChiChiRuiz@gmail.com> writes:
> I'm using Curvefit function to fit a set of data points to a Gaussian
> curve. One of the arguments of CURVEFIT is "weights". I'm not really
> clear as to what it is, and what the value should be in my case. Any
> advise?
It depends on what kind of statistics you have. Here are common
values of weights:
; 1D/ERR^2 - Normal weighting (ERR is the measurement error)
; 1D/Y - Poisson weighting (counting statistics)
; 1D - Unweighted
Craig
--
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Craig B. Markwardt, Ph.D. EMAIL: craigmnet@REMOVEcow.physics.wisc.edu
Astrophysics, IDL, Finance, Derivatives | Remove "net" for better response
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