[Scilab-users] Problem with function fitting

2014-12-17 Thread Maihem
Hi,

I have problem with fitting function to measured data using scilab. I tried
scilab function datafit(), lsqrsolve(), leastsq() but none returns me a
proper result or can't perform calculations.

//I have measured data:
xm;ym
2.0;99.9449173761
1.0;99.8097145719
0.5;97.9769654482
0.25;36.4046069104
0.1;1.4872308463
0.071;0.5207811718
0.063;0.3705558338

//Script used to fit data

miny=min(ym);
maxy=max(ym);
minx=min(xm);
maxx=max(xm);

Zz=[xm;ym];

//Function describing problem (I want to find best fit by finding n()).

function g1=f1(x, n)
g1 = miny+((maxy-miny) ./((1+(n(1).*(x ./n(2)).^n(3))+(1-n(1)).*((x
./n(2)).^n(4.^n(5))
endfunction

function e = G(n,z)
  xm = z(1)
  ym = z(2)
  e = ym - f1(xm,n)
endfunction 

n0 = [1 ; 1; 1; 1; 1]
[n0_opt,err] = datafit(G,Zz,n0) 

After calling function scilab returns me error:
Variable returned by scilab argument function is incorrect.

I tried to find solution for this problem in scilab mailing lists and tried
some posted scripts and advices but I can't localize problem.


Łukasz



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Re: [Scilab-users] Problem with function fitting

2014-12-17 Thread Maihem
Thanks for answer but it seems that implementation of this only allowed to
avoid error cause calculated parameters still don't fit to data.

Parameters calculated by implementation real on e gives fit parameters:
n(1)= 1.264264  
n(2)= - 0.1891816 
n(3)= 1.6592188  
n(4)= 0.9977104  
n(5)= 1.0404815
but this parameters are wrong.

For example I fitted this equation using Gnuplot and I recived:
n(1)= 0.960002 
n(2)= 0.331008 
n(3)= -8.26945  
n(4)= -1.9777  
n(5)= 0.423854
and this results from gnuplot fits this function to data

I'm little confused why I can't receive similar solution from scilab

Łukasz



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Re: [Scilab-users] Problem with function fitting

2014-12-17 Thread Maihem
Thanks for help, now it looks fine

Łukasz



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