Re: Getting parameters from Fit[]..
- To: mathgroup at smc.vnet.net
- Subject: [mg27136] Re: [mg27055] Getting parameters from Fit[]..
- From: "Mark Harder" <harderm at ucs.orst.edu>
- Date: Wed, 7 Feb 2001 02:12:43 -0500 (EST)
- Sender: owner-wri-mathgroup at wolfram.com
Thank you all for responding so quickly to my request. You are correct
about Regress. It does not print when terminated with a semicolon (as
expected). I don't understand why this did not work for me before.
-mark
-----Original Message-----
From: BobHanlon at aol.com <BobHanlon at aol.com>
To: mathgroup at smc.vnet.net
<mathgroup at smc.vnet.net>
Subject: [mg27136] Re: [mg27055] Getting parameters from Fit[]..
>
>Needs["Statistics`LinearRegression`"];
>
>data={{0.055,90},{0.091,97},{0.138,107},{0.167,124},{0.182,142},{0.211,
> 150},{0.232,172},{0.248,189},{0.284,209},{0.351,253}};
>
>funcs = {1, x, x^2};
>
>bfp=(BestFitParameters /.
> Regress[data, funcs, x, RegressionReport -> BestFitParameters]);
>
>bfp.funcs == Fit[data, funcs, x]
>
>True
>
>funcs = {1, x^2};
>
>bfp=(BestFitParameters /.
> Regress[data, funcs, x, RegressionReport -> BestFitParameters]);
>
>bfp.funcs == Fit[data, funcs, x]
>
>True
>
>Bob Hanlon
>
>In a message dated 2001/2/3 5:25:07 AM, harderm at ucs.orst.edu writes:
>
>>I am doing a linear fit to obtain parameters for use in a larger,
>>iterative procedure (a separable linear-nonlinear data fitting
>>algorithm), and I'm trying to use Fit[] to do this. Unfortunately, Fit
>>
>>does not return parameters by themselves, just the linear combination of
>>
>>my basis functions(which are much more complicated than the usual
>>examples given in the documentation) weighted by the parameters. I have
>>
>>tried various things, like using Regress instead of Fit, but that prints
>>
>>out at least a written report of the parameters every time it is
>>invoked, which will make for a very cluttered output when included in
>>the larger problem I am trying to solve. I suppose I can find a method
>>
>>to isolate just the parts of the output of Fit that contain the
>>parameters and process them to get the parameters, but that seems
>>awkward and might introduce numerical errors. I've looked at the
>>MathGroup archives and found only 1 response to this question in the
>>past, which was "Sorry, dont know how to do that. why don't you use
>>Regress?".
>> Doesn't Mathematica provide any simple method for recovering just
>>the parameter vector from a linear fit? If it doesn't, perhaps it ought
>>
>>to. Alternatively, is there some way to get Regress to provide the
>>BestFitParameters rules without printing them out? Or, is there some
>>*simple* and accurate way of getting the parameters from the Fit output
>>
>>as is?
>>