In my problem, 4 parameters are there those are x1, x2, x3 and y.
y is dependent on x1, x2 and x3.
y is increasing or decreasing with x1, x2 and x3.
I have to correlate them and find the constants a, b, and c, for example:
y = a*x1 + b/x2 + x3/c
In this problem I know the values of x1, x2, x3 and y.
Please explain in detail how to correlate them using origin or MATLAB.
Thanking you in advance.
If correlation is linear, You may use multiple linear regression.
http://www.mathworks.de/help/stats/multiple-linear-regression-1.html
http://www.mathworks.de/help/stats/linear-regression-model-workflow.html
if you know that your equation is y=a*x1+b/x2+x3/c;
you can easily use PSO optimization to find the parameters a,b,c.
I can send you the Matlab code, if you send me your data.
Good Luck
It is multiple linear regression. Pl be sure before going for the mentioned model, otherwise you may opt other form of model.
Any statistical packages, even excel can solve your problem. It is simple in doing.
Just plot the function y=f(x) and use then the analysis tab in Origin and find the fitting section (you have there linear, polynomial fitting). So defining a polynomial fitting of y=f(x) using a thrid or four degree, you will have your correlation parameters.
Thank you Hossein Soleimani, i will send my data but i need your email id. Can you please send me or type here, my email id is [email protected].
Dear Krishna, if you are haivng OriginPro8, you can go to Analysis -> Fitting -> Nonlinear curve fit -> Open dialogue -> Settings -> Category -> User defined -> new -> ...and define your function, by stating independent and dependent variables with the constants a, b and c. and call the column data of x1, x2 and x3 to the file and fit. You will have the results in your hand.
As already mentioned by Sree rama murthy, you can use Origin to build your own functions you want to use for fitting your data.
Just follow his instrucions to create your own fitting function. However if your data are more complex (say a peak function) you need a good starting point for your paramters otherwise you might have trouble finding the right values. Parameter initialisation strongly depends on the complexity of fitting function. If you can give me more information about your actual problem I might give you some tips.
Hope that helps,
Moritz
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