Re: Fitting data to a curve
- To: mathgroup at smc.vnet.net
- Subject: [mg73303] Re: Fitting data to a curve
- From: "Ray Koopman" <koopman at sfu.ca>
- Date: Fri, 9 Feb 2007 23:45:57 -0500 (EST)
- References: <eqengu$4gj$1@smc.vnet.net>
On Feb 8, 12:37 am, Peter Jay Salzman <p... at dirac.org> wrote:
> I have a table of {x,y} data and a function:
>
> a y^2 + b x y + c x + d y + e = x^2
>
> I'd like to do a least fit to determine the constants a, b, c, d, and e. I
> think the function I want is Fit[] or FindFit[], but I can't coax Mathematica to do
> this. I'm not entirely sure what to do with that x^2 since it has no
> coefficient.
>
> I've never used these functions before; how can I do this least squares fit?
>
> Thanks!
In[1]:= <<Graphics`ImplicitPlot`
In[2]:= SeedRandom[1]; data = Table[Random[],{30},{2}];
In[3]:= f = Fit[data/.{x_,y_}->{x,y,x^2},{1,x,y,x*y,y^2},{x,y}]
Out[3]= -.0952586 + .887256*x - .128435*y + .354883*x*y - .141003*y^2
In[4]:= ImplicitPlot[f == x^2,{x,0,1},{y,0,1}, Frame->True,
Prolog->{AbsolutePointSize[5], Point/@data}];