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
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
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
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.
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
5 matches
Mail list logo