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 -- View this message in context: http://mailinglists.scilab.org/Problem-with-function-fitting-tp4031546.html Sent from the Scilab users - Mailing Lists Archives mailing list archive at Nabble.com. _______________________________________________ users mailing list [email protected] http://lists.scilab.org/mailman/listinfo/users
