Re: [R] Assessing the fit of a nonlinear model to a new dataset

2013-04-12 Thread Rebecca Lester
Apr 2013 05:06:57 + From: Rebecca Lester > To: "r-help@r-project.org" > Subject: [R] Assessing the fit of a nonlinear > model to a new dataset Message-ID: > <5a72faa65583bc45a816a698a960e92788612...@mbox-f-3.du.deakin.edu.au> > Content-Type: text/plain Hi all

Re: [R] Assessing the fit of a nonlinear model to a new dataset

2013-04-05 Thread Prof J C Nash (U30A)
N Message: 90 Date: Fri, 5 Apr 2013 05:06:57 + From: Rebecca Lester To: "r-help@r-project.org" Subject: [R] Assessing the fit of a nonlinear model to a new dataset Message-ID: <5a72faa65583bc45a816a698a960e92788612...@mbox-f-3.du.deakin.edu.au> Content-Type: text/plain Hi

Re: [R] Assessing the fit of a nonlinear model to a new dataset

2013-04-05 Thread Prof Brian Ripley
On 05/04/2013 14:26, Adams, Jean wrote: Rebecca, I'm not sure why you are interested in the t-statistics and p-values for the iterations, but you could perhaps save the nls() fit after 1, 2, 3, ... iterations using the argument nls.control(maxiter = n). But those statistics are only even appro

Re: [R] Assessing the fit of a nonlinear model to a new dataset

2013-04-05 Thread Adams, Jean
Rebecca, I'm not sure why you are interested in the t-statistics and p-values for the iterations, but you could perhaps save the nls() fit after 1, 2, 3, ... iterations using the argument nls.control(maxiter = n). Jean On Fri, Apr 5, 2013 at 12:06 AM, Rebecca Lester < rebecca.les...@deakin.edu.

[R] Assessing the fit of a nonlinear model to a new dataset

2013-04-04 Thread Rebecca Lester
Hi all, I am attempting to apply a nonlinear model developed using nls to a new dataset and assess the fit of that model. At the moment, I am using the fitted model from my fit dataset as the starting point for an nls fit for my test dataset (see below). I would like to be able to view the t-s