How to use fit matrix array

A=csvread('spotlightmtfx.txt');
h=A(:,1);
j=A(:,2);

   f=fit(h, j,'gauss2')

   %Coefficients
     a1=1.47 %(1.426, 1.515)
     b1=897.7 %(897,898.3)
     c1=27.08 %(26.08 27.08)
     a2=0.6994 %(0.6821, 0.7167)
     b2=810.8 %(790, 831.7)
     c2=592.9 %(501, 685.7)
  %f=
     %General model Gauss2:
     f(h)=a1*exp(-((h-b1)/c1).^2)+a2*exp(-((h-b2)/c2).^2)

     plot(f,h,j)

This is my code and it is not work."Cannot use cellarray brackets or parens to assign to FIT." What I have to do? Please help me. :)

[KSSV]

With out data, we cannot help you..attach the file....error is due to you are sending wrong class inside the fit function.

[Birdman]

Are you trying just to plot the f model and compare the results?

Answer 1

[KSSV]

This line:

f(h)=a1*exp(-((h-b1)/c1).^2)+a2*exp(-((h-b2)/c2).^2)

is not correct...it should be

f = a1*exp(-((h-b1)/c1).^2)+a2*exp(-((h-b2)/c2).^2)

Below code shall work:

A=load('spotlightmtfx.txt');
h=A(:,1);
j=A(:,2);
f=fit(h, j,'gauss2')
%Coefficients
a1=1.47 %(1.426, 1.515)
b1=897.7 %(897,898.3)
c1=27.08 %(26.08 27.08)
a2=0.6994 %(0.6821, 0.7167)
b2=810.8 %(790, 831.7)
c2=592.9 %(501, 685.7)
%f=
%General model Gauss2:
f=a1*exp(-((h-b1)/c1).^2)+a2*exp(-((h-b2)/c2).^2)
plot3(f,h,j)