sfit object. can't get coefficients.
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Hello. There is my code:
>> c = fit( [X, Z], Y, ft, opts );
>> c
Linear interpolant:
c(x,y) = piecewise linear surface computed from p
where x is normalized by mean 0.5 and std 0.2745
and where y is normalized by mean 227.7 and std 80.16
Coefficients:
p = coefficient structure
>> class(c)
ans =
sfit
>> coeffvalues(c)
ans =
TriangleSurfaceInterpolant with properties:
Type: 'Linear'
>> c.p
ans =
TriangleSurfaceInterpolant with properties:
Type: 'Linear'
>> c(0.3, 201)
ans =
26349
Is it possible to get coefficient of
c() function?
Antworten (3)
Greig
am 3 Mär. 2015
1 Stimme
As Sean de Wolski points out in the question that you linked to, a interpolated surface fit has multiple sets of linear fit coefficients, one for each point in the data.
If you want to have just a single set of coefficients for the entire surface fit you will need to use a polynomial fit. For example, if you want to use a 2nd order polynomial in both x and z, set the fittype to 'poly22'. The c.p00, c.p10, c.p01, c.p11, c.p20, c.p02 will contain all of your coefficients.
If this is not what you are looking for could you gives us some more details about what your are wanting.
4 Kommentare
almaz ham
am 3 Mär. 2015
Judging by the pic, you want a linear fit in both x and y, so fit() will give you the answer. What you want is...
c = fit([SOC, RPS], PWM, 'poly11');
As before c.p00, c.p10, c.p01 are the coefficients.
This fits a linear function in both SOC and RPS, that is...
PWM = p00 + p10 * SOC + p01 * RPS
You may want to try
cftool
The interactive fitting tool, that will allow you to play around with the type of fit you use, and it displays the stat
maitehar
am 8 Jun. 2020
Hello, reading this because is in the direction of what I want.
What if I want those coeficients,from a linear fit, for each fitted interval?
This is just because, by a linear fit, it simplifies a lot some calculations and allows me to propose an easy analitycal solution in my study.
Any ideas?
maitehar
am 8 Jun. 2020
Ah, got it! I'lll leave it here just in case someone checks this later:
The structure with all coeficient values from a linear fit is called:
your_fit_name.p.coefs
cheers,
almaz ham
am 3 Mär. 2015
0 Stimmen
almaz ham
am 3 Mär. 2015
0 Stimmen
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