[R] best way to fit a model

Ronaldo Reis-Jr. chrysopa at insecta.ufv.br
Tue Sep 13 18:24:02 CEST 2005


Em Sex 09 Set 2005 15:25, Achim Zeileis escreveu:
> On Fri, 9 Sep 2005 14:55:04 -0300 Ronaldo Reis-Jr. wrote:
> > Hi,
> >
> > I have some data that have this behaviour:
> > |*******
> > |        *
> > |          *
> > |            *
> > |              *
> > |----------------
> >
> > What is the best and simpler way to fit this in R?
>
> If the changepoint is known, then this is straightforward using lm:
>

I try this. But my doubt now is:

How to justify this kind of analysis? Why dont use any linearized or non 
linear regression to fit this? Something like a log function (I try but is 
not a good function).

Thanks
Ronaldo
-- 
Your reasoning is excellent -- it's only your basic assumptions that are 
wrong.
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