Get Y values from Curve Fitting Tool

First of all i´m completely new on matlab so forgive me if this is a dumb question...

I have a time-series like set of measures. I need to fit a custom equation (similar to fourier).. so I did that using curve fitting tool (Matlab 2011a) and got a nice fit

General model:

f(x) = a0+a1*cos(2*pi*x/c1)+b1*sin(2*pi*x/c1)+a2*cos(2*pi*x/c2)+b2*sin(2*pi*x/c2)
Coefficients (with 95% confidence bounds):
     a0 =       19.34  (19.2, 19.47)
     a1 =      0.1146  (-0.07393, 0.3032)
     a2 =     -0.5118  (-0.7003, -0.3232)
     b1 =       -2.76  (-2.948, -2.571)
     b2 =       0.278  (0.08949, 0.4666)
     c1 =          12  (fixed at bound)
     c2 =           6  (fixed at bound)

now I need the values of the fitted curve so I wonder if there is a fast and simple way to get them.

P.D. I know I can just calculate them from the model using the calculated coefficients but I have 100+ series of data, each one with a different set of coefficient values.

Any help would be appreciated

Answer 1

[Richard Willey]

For simplicity, this code is using a simple linear model. However, the same syntax with work for your nonlinear regression.

% Generate some data
X = 10 * rand(100,1);
Y = 5 + 3*X + randn(100,1);

% Generate a fit
myFit = fit(X,Y, 'poly1');

% Generate YHat
YHat = myFit(X)

% Alternatively
Yhat = feval(myFit, X)

[Samuel Fonseca]

THX A LOT!!

I knew there was a easy way to do it

[Bixing Yan]

Hi Samuel, I am wondering what is the easy to get the value of fitted model?