-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 S Ellison wrote: > Just 'cos it's bent doesn't mean you need nls.
Sorry, my bad! :o( > With your data, lm fits (suspicously!) well... Nothing suspicious....just benchmarking some functions with different sized inputs! Thanks for the help! Nathan > > y<-c(0.000,0.004,0.008,0.016,0.024,0.032,0.044,0.064,0.072,0.088,0.108,0.140 > ,0.156,0.180,0.208,0.236,0.264,0.296,0.320,0.360,0.408,0.444,0.472,0.524 > ,0.576) > x<-c(100,200,300,400,500,600,700,800,900,1000,1100,1200,1300,1400,1500 > ,1600,1700,1800,1900,2000,2100,2200,2300,2400,2500) > plot(x,y) > lines(x, predict(lm(y~I(x^2)))) > > >>>> "Nathan S. Watson-Haigh" <nathan.watson-ha...@csiro.au> 01/12/09 > 2:19 AM >>> > I have the following data: > >> y > [1] 0.000 0.004 0.008 0.016 0.024 0.032 0.044 0.064 0.072 0.088 0.108 > 0.140 > [13] 0.156 0.180 0.208 0.236 0.264 0.296 0.320 0.360 0.408 0.444 0.472 > 0.524 > [25] 0.576 >> x > [1] 100 200 300 400 500 600 700 800 900 1000 1100 1200 1300 > 1400 1500 > [16] 1600 1700 1800 1900 2000 2100 2200 2300 2400 2500 > > I'd like to plot the points and calculate a curved line of best fit. I > know I need to use nls(), but > I'm unsure how to begin....any pointers? > > Cheers, > Nathan > > ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. ******************************************************************* This email and any attachments are confidential. Any use, copying or disclosure other than by the intended recipient is unauthorised. If you have received this message in error, please notify the sender immediately via +44(0)20 8943 7000 or notify postmas...@lgc.co.uk and delete this message and any copies from your computer and network. LGC Limited. Registered in England 2991879. Registered office: Queens Road, Teddington, Middlesex, TW11 0LY, UK - -- - -------------------------------------------------------- Dr. Nathan S. Watson-Haigh OCE Post Doctoral Fellow CSIRO Livestock Industries Queensland Bioscience Precinct St Lucia, QLD 4067 Australia Tel: +61 (0)7 3214 2922 Fax: +61 (0)7 3214 2900 Web: http://www.csiro.au/people/Nathan.Watson-Haigh.html - -------------------------------------------------------- -----BEGIN PGP SIGNATURE----- Version: GnuPG v1.4.9 (MingW32) Comment: Using GnuPG with Mozilla - http://enigmail.mozdev.org iEYEARECAAYFAklqxy0ACgkQ9gTv6QYzVL76HwCeIQlVwHX53uPJ8YHMq9djNUuR ATsAn1otbhcmjUZDxe8iatQMzo+7fv8v =Jra2 -----END PGP SIGNATURE----- ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
