get mean and std from sfit object
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I use poly55 for fitting a surface to my measurement data. The result is a sfit object from which I can extract the coefficients with coeffvalues(fitresults):
% Set up fittype and options.
ft = fittype( 'poly55' );
% Fit model to data.
[fitresult, gof] = fit( [xData, yData], zData, ft, 'Normalize', 'on' );
In the command Windowc comes:
Linear model Poly55:
fitresult(x,y) = p00 + p10*x + p01*y + p20*x^2 + p11*x*y + p02*y^2
+ p30*x^3 + p21*x^2*y + p12*x*y^2 + p03*y^3 + p40*x^4
+ p31*x^3*y + p22*x^2*y^2 + p13*x*y^3 + p04*y^4 + p50*x^5
+ p41*x^4*y + p32*x^3*y^2 + p23*x^2*y^3 + p14*x*y^4
+ p05*y^5
where x is normalized by mean 948.8 and std 307.3
and where y is normalized by mean 474.7 and std 226.8
Coefficients (with 95% confidence bounds):
p00 = 3.329 (3.271, 3.386)
p10 = -0.7384 (-0.8502, -0.6267)
p01 = -13.96 (-14.08, -13.83)
p20 = 1.843 (1.762, 1.923)
p11 = -0.1893 (-0.2839, -0.09466)
p02 = -0.2026 (-0.3119, -0.0933)
p30 = 0.1761 (0.07422, 0.2779)
p21 = 0.971 (0.8428, 1.099)
p12 = 0.0674 (-0.06616, 0.201)
p03 = 0.1113 (-0.03479, 0.2573)
p40 = -0.1148 (-0.1391, -0.09059)
p31 = 0.02515 (-0.00647, 0.05677)
p22 = 0.06291 (0.02904, 0.09678)
p13 = 0.002115 (-0.03754, 0.04177)
p04 = 0.03172 (-0.01116, 0.0746)
p50 = -0.02834 (-0.05165, -0.005038)
p41 = -0.05022 (-0.08373, -0.01672)
p32 = 0.0001545 (-0.03869, 0.03899)
p23 = -0.01278 (-0.04958, 0.02402)
p14 = -0.003341 (-0.04329, 0.03661)
p05 = 0.03711 (-0.005346, 0.07957)
How can I extract the mean and the std? This has to be saved somewhere in this sfit object.
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