[R] p-value for non linear model
gunter.berton at gene.com
Thu Sep 15 15:37:28 CEST 2011
It sounds like you are in way over your head statistically. This is
not a statistics tutorial site (though sometimes good folks do help
witjh this). I suggest you try http://stats.stackexchange.com/ .
Better yet, work with your local statistician.
On Thu, Sep 15, 2011 at 6:09 AM, Tatiana Donnay
<tatiana.donnay at gmail.com> wrote:
> I want to understand how to tell if a model is significant.
> For example I have vectX1 and vectY1.
> I seek first what model is best suited for my vectors and
> then I want to know if my result is significant.
> I'am doing like this:
> model1 <- lm(vectY1 ~ vectX1, data= d),
> model2 <- nls(vectY1 ~ a*(1-exp(-vectX1/b)) + c, data= d,
> start = list(a=1, b=3, c=0))
> aic1 <- AIC(model1)
> aic2 <- AIC(model2)
> if (aic1 < aic2) print("Model1 is better")
> else print("Model2 is better")
> for example aic1 < aic2 I'am doing summary(model1) and I have p-value to
> know if my result is significant.
> but if aic2 < aic1, so model 2, non linear is better. I'am doing
> summary(model2) bur there isn't p-value. I read that it is normal. So how
> can I know if my resultat is significant?
> I can't use summary.nls(), because, I'm working with mac and it's no
> possible to install it.
> Thank you
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Genentech Nonclinical Biostatistics
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