WebFeb 26, 2024 · I used Curve Fitting Toolbox on three data sets of my data, used Smoothing Spline and excluded a lot of point to smooth the graphs a little. I generated a code for all free fitted curves and now I would like to get all three plots into one figure. I used the last section to PLOT ALL to plot all three fitresults but it gives me the following error. WebSep 24, 2015 · I used the MATLAB curve fitting tool to do a spline smoothing fit and created a function from it. How can I access the Y fit values so I can output them to a …
Fit type for curve and surface fitting - MATLAB fittype - MathWorks
WebMar 7, 2024 · I have a question about finding the area of rectangle S2 (above the curve). I want to find S1/S2 like (S - S2)/(S2), where S = S1 + S2.. I have 2 vectors of double (x;y) and I can find S1 + S2:. S = (x.back() - x[0])*(y.back() - y[0])) Then I want to use numerical integration to find the whole area under the cruve S2, and then deduct z from S2:. z = … WebOct 7, 2024 · You can see in there how to use fittype with an anonymous function. For example: Theme Copy fun = @ (a,b,c,x) a + b*exp (c*x); ft2 = fittype (fun,'indep','x') ft2 = General model: ft2 (a,b,c,x) = a+b*exp (c*x) I think this is what you are asking. Sign in to comment. Sign in to answer this question. fishing boat ksl
matlab - Getting y values back from spline fit - Stack Overflow
WebApr 15, 2014 · ft = fittype ( 'smoothingspline' ); opts = fitoptions ( 'Method', 'SmoothingSpline' ); opts.SmoothingParam = 1.5029271581647606E-4; fitresult, gof] = fit ( xData, yData, ft, opts ); And a main function that I'm trying to get working using something like this [fit,gof] = findfit (Z2); test = coeffvalues (fit); peaks = findpeaks (test.coefs); WebMay 4, 2024 · ft = fittype ('smoothingspline'); % Fit model to data. [fitresult, gof] = fit ( x, y, ft, 'Normalize', 'on' ); hold on plot (fitresult) axis ( [0,2*pi,-2,2]) I note that while the curve … WebApr 15, 2014 · ft = fittype ( 'smoothingspline' ); opts = fitoptions ( 'Method', 'SmoothingSpline' ); opts.SmoothingParam = 1.5029271581647606E-4; fitresult, gof] = fit ( xData, yData, ft, opts ); And a main function that I'm trying to get working using something like this Theme Copy [fit,gof] = findfit (Z2); test = coeffvalues (fit); fishing boat k 701