I have written a function 'fun' in a separate .m file that I would like to fit to some xy data, using a parameter 'A' as a fitting parameter. However, since the function depends on the input of xdata and the pa
function y = myCustomFunction(x, a, b)% 示例自定义函数，这里假设为简单的线性函数 y = a * x + b;end 准备数据：提供用于拟合的数据，包括自变量 x 和因变量 y。xData = [1, 2, 3, 4, 5];yData = [2.1, 2.8, 3.4, 4.2, 5.1];使用 fit 函数进行拟合：使用 fit 函数进行曲线拟合...
[fitobject,gof] = fit(x, y, g); Thats the error message: Error using fittype/testCustomModelEvaluation (line 12) Expression (integral(b * (log(1 + a/b * (exp(x/c) - 1))) *exp(-x/d) * (1/(x/c)), 0, 2*x)) is not a valid MATLAB expression, has non-scalar ...
Custom Fit - Error Functions. Learn more about curve fit toolbox, error function, erf, cftool, fit, curve fitting, cumulative distribution function Curve Fitting Toolbox
Nonlinear least squares fit of custom function to data 0 Answers How to solve system of first order differential equations 2 Answers Entire Website R-square: The coefficient of determination File Exchange Oblique Spherical Triangle toolbox File Exchange lorentzfit(x,y,varargin) File Exchang...
I am trying to fit the model- y = exp(-kx) to my data using fitnlm. I get the alogrithm to converge and the p value also seems to be pretty good but however when I plot my data against the fitted value, it gives me a negative linear fit. Can someone please assist me with th...
Create a fit options object and a fit type for the custom nonlinear model y=a(x−b)n, where a and b are coefficients and n is a problem-dependent parameter. Get fo = fitoptions('Method','NonlinearLeastSquares',... 'Lower',[0,0],... 'Upper',[Inf,max(cdate)],... 'Start...
plot(fit1,'r-',xdata,ydata,'k.',outliers,'m*') % 绘制拟合曲线,原始数据,剔除数据点。 hold on plot(fit2,'c--') plot(fit3,'b:') 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 输出结果如下: fit1 = Linear model Poly1: ...
5、it Editor里面点击NewFit按钮,此时其下方的各个选框被激活, 在Data Set选框中选中刚才建立的x-y数据组,然后在Type of fit选框中选取拟合或回归类型,各个类型的拟合或回归相应的分别是:Custom Equations用户自定义函数Expote ntial e指数函数Fourier傅立叶函数,含有三角函数Gaussian正态分布函数,高斯函数In terpola...
选择拟合类型fit type 和拟合的方式,通过fit options 限定拟合的起始点参数和参数的上下限。 工具箱提供的拟合类型: 参数详细介绍: Custom Equations:用户自定义的函数类型 Exponential:指数逼近,有两种类型 a*exp(b*x)、a*exp(b*x)+c*exp(d*x);