expected value of 'exp2' fit for an unavailable data point using available data
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I have a data set containing 6 values for x and 6 values y. x = 0, 15, 35, 50, 65, 85 and y= 1.2, 1.2 ,1.3, 2.3, 2.1, 4.0. The sum of exponential functions ('exp2') fit to them very well. How can I calculate the expected value for instance for x= 100. I mean what is y for x=100 given the available data and fit functions? I d be very appreciative. Thanks
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Mischa Kim
2014-2-14
编辑:Mischa Kim
2014-2-14
Hello Mohammad, you can retrieve the curve fitting parameters using coeffvalues, define an anonymous function, and then evaluate that function at any point you'd like:
curve = fit(x,y,'exp2');
coeffs = coeffvalues(curve);
f_fit = @(x) (coeffs(1)*exp(coeffs(2)*x) + coeffs(3)*exp(coeffs(4)*x));
另请参阅
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