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Re: regress question [message #64050 is a reply to message #31982]

Sun, 30 November 2008 23:42

mccreigh
Messages: 13
Registered: January 2008

Junior Member

I have some vague recollection of doing this once within an IDL
function. A quick look turned up this, looks promising and like
something i've seen before:

Curvefit( X, Y, Weights, A [, Sigma] [, CHISQ=variable] [, /DOUBLE] [,
FITA=vector] [, FUNCTION_NAME=string] [, ITER=variable] [,
ITMAX=value] [, /NODERIVATIVE] [, STATUS={0 | 1 | 2}] [, TOL=value] [,
YERROR=variable] )
A
A vector with as many elements as the number of terms in the user-
supplied function, containing the initial estimate for each parameter.
On return, the vector A contains the fitted model parameters.

FITA
Set this keyword to a vector, with as many elements as A, which
contains a zero for each fixed parameter, and a non-zero value for
elements of A to fit. If not supplied, all parameters are taken to be
non-fixed.

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[Message index]

		REGRESS Question By: David Fanning on Wed, 04 September 2002 14:21
		Re: REGRESS Question By: Mike Alport on Fri, 06 September 2002 00:26
		Re: REGRESS Question By: julia[1] on Thu, 05 September 2002 11:31
		Re: REGRESS Question By: William Clodius on Thu, 05 September 2002 10:31
		Re: REGRESS Question By: justspam03 on Wed, 22 October 2003 07:01
		Re: REGRESS Question By: wmconnolley on Wed, 22 October 2003 06:03
		Re: REGRESS Question By: Chris Lee on Wed, 22 October 2003 03:44
		Re: regress question By: Wout De Nolf on Mon, 01 December 2008 00:38
		Re: regress question By: mccreigh on Sun, 30 November 2008 23:42
		Re: regress question By: Kenneth P. Bowman on Sat, 29 November 2008 07:58
		Re: regress question By: Brian Larsen on Thu, 27 November 2008 07:37
		Re: regress question By: Wout De Nolf on Thu, 27 November 2008 02:47

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