d for
>linear
>regression? To me it looks the same.
>
>
>
>-Ursprüngliche Nachricht-
>Von: peter dalgaard [mailto:pda...@gmail.com]
>Gesendet: Mittwoch, 30. September 2015 01:09
>An: Michael Eisenring
>Cc: r-help@r-project.org
>Betreff: Re: [R] Calculate To
: [R] Calculate Total CORRECTED SS for non linear regression
> On 30 Sep 2015, at 02:08 , Michael Eisenring
wrote:
>
> Can anyone tell me how to calculate the Total Corrected SS in R and
> how it can be implemented in my code?
It is just sum((y-mean(y))^2).
Beware that a fair amount
Some workers consider it bad practise to compute what is called
R-squared for a nonlinear model. I find it useful for nonlinear models
as a signpost of how good a fit has been found. But just as signposts
can be turned around by vandals, nonlinear models can give a misleading
indication. With linea
> On 30 Sep 2015, at 02:08 , Michael Eisenring wrote:
>
> Can anyone tell me how to calculate the Total Corrected SS in R and how it
> can be implemented in my code?
It is just sum((y-mean(y))^2).
Beware that a fair amount of (somewhat silly) contention is going on in this
area, though. In pa
Hello
I started to work on nonlinear regressions recently,
I want to compare a set of models and would like to use an equivalent of R2
for nonlinear regression models.
I learned that a good alternative is to calculate the following corrected
formula:
1 - (Residual SS/Total Corrected SS)
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