How to show level of accuracy from original data FROM Re: Coefficients from Fit as a list?
- To: mathgroup at smc.vnet.net
- Subject: [mg63424] How to show level of accuracy from original data FROM Re: [mg63396] Coefficients from Fit as a list?
- From: "Lea Rebanks" <lrebanks at onetelhk.net>
- Date: Fri, 30 Dec 2005 04:43:49 -0500 (EST)
- Sender: owner-wri-mathgroup at wolfram.com
Hi Bob, When using FindFit to give the best linear approximation to data set points. Could you show me a simple example of code / function to show level of accuracy / error deviation from original data set. Many thanks Lea Rebanks... -----Original Message----- From: Bob Hanlon [mailto:hanlonr at cox.net] To: mathgroup at smc.vnet.net Subject: [mg63424] [mg63414] Re: [mg63396] Coefficients from Fit as a list? points={{0,-1},{1,2},{3,7},{4,6},{7,9},{11,14}}; Fit[points,{1,x,x^2},x] -0.0592841*x^2 + 1.89613*x - 0.113262 Reverse@Most@Cases[%,_?NumericQ,Infinity] {-0.0592841,1.89613,-0.113262} param={a,b,c}; param/.FindFit[points,a*x^2+b*x+c,param,x] {-0.0592841,1.89613,-0.113262} Needs["Statistics`NonlinearFit`"]; param/.(BestFitParameters/. NonlinearRegress[points, a*x^2+b*x+c, x, param]) {-0.0592841,1.89613,-0.113262} Bob Hanlon > > From: "LectorZ" <lectorz at mail.ru> To: mathgroup at smc.vnet.net > Date: 2005/12/29 Thu AM 02:57:28 EST > Subject: [mg63424] [mg63414] [mg63396] Coefficients from Fit as a list? > > Hi there, > > How can I store the coefficients from the Fit function as a list? > > Thanks, > > LZ > >