Curve fitting with more than 3 variables
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Tania
el 4 de Jun. de 2014
Comentada: John D'Errico
el 2 de Dic. de 2018
Hi! I am doing curve fitting with matlab at the moment and would like to do it with more than 3 variables.Is that possible and how can i do it? please see the screenshot, I can not add any further variables there. Thank you!
1 comentario
Mahdi
el 4 de Jun. de 2014
Do you mean you want to do it in a higher dimension than 3D? Or more polynomial coefficients?
Respuesta aceptada
dpb
el 4 de Jun. de 2014
That's correct; the cftool GUI is limited to curves or surfaces.
You can define other more general models you wish with with either GeneralizedLinearModels tools in the Statistics Toolbox (under 'regression') or can always write the normal equations directly and use the backslash ("\") operator to solve.
Details on what your inputs are and the desired model could lead to more specific responses.
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dpb
el 5 de Jun. de 2014
Editada: dpb
el 5 de Jun. de 2014
Don't know about web sites; the Matlab doc starts under
doc
Open the Statistics Toolbox section, select "Regression and Classification" and then "Parametric Regression". Start at the bottom with the Concepts section and work your way thru to the Linear Models which is probably all you need.
ADDENDUM:
There's a little more to it than the following, but the general idea for indicator variables is easily seen in the following
For setting up contrasts between more locations, there are some restrictions on the dummy encoding. Any good text on regression will address it.
3 comentarios
dpb
el 13 de Jun. de 2014
"More", I don't know would be a good way to put it; it's an alternative choice, yes. I really have no direct experience in the specific area of regression trees, sorry.
Don't know you've anything to lose by trying both and seeing which does a better job for your purposes on the data you have. You'll want to avoid making any generic conclusions from just a sample dataset results, obviously...
Tania
el 7 de Jun. de 2014
3 comentarios
John D'Errico
el 2 de Dic. de 2018
I unaccepted this self answer, and accepted the Answer from dpb instead.
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