0:58:04 +0100
> From: peter dalgaard
> To: Bert Gunter
> Cc: Max Brondfield , r-help@r-project.org
> Subject: Re: [R] Quality of fit statistics for NLS?
> Message-ID:
> Content-Type: text/plain; charset=windows-1252
>
>
> On Jan 26, 2012, at 22:51 , Bert Gunter wrote:
On Jan 26, 2012, at 22:51 , Bert Gunter wrote:
> Inline below.
>
> -- Bert
>
> On Thu, Jan 26, 2012 at 12:16 PM, Max Brondfield
> wrote:
>> Dear all,
>> I am trying to analyze some non-linear data to which I have fit a curve of
>> the following form:
>>
>> dum <- nls(y~(A + (B*x)/(C+x)), star
Inline below.
-- Bert
On Thu, Jan 26, 2012 at 12:16 PM, Max Brondfield
wrote:
> Dear all,
> I am trying to analyze some non-linear data to which I have fit a curve of
> the following form:
>
> dum <- nls(y~(A + (B*x)/(C+x)), start = list(A=370,B=100,C=23000))
>
> I am wondering if there is any w
Dear all,
I am trying to analyze some non-linear data to which I have fit a curve of
the following form:
dum <- nls(y~(A + (B*x)/(C+x)), start = list(A=370,B=100,C=23000))
I am wondering if there is any way to determine meaningful quality of fit
statistics from the nls function?
A summary yields
4 matches
Mail list logo
