Yes, this probably should go to R-help, and before you do that, I
suggest you PLEASE do read the posting guide!
http://www.R-project.org/posting-guide.html. It can increase the
likelihood you will get a useful reply relatively quickly.
I tried the your two calls to "gnls", which of course produced errors
for me as I don't have your data. The help page for "gnls" included an
example that looked quite similar to me:
> fm1 <- gnls(weight ~ SSlogis(Time, Asym, xmid, scal), Soybean,
+ weights = varPower())
> summary(fm1)> fm1 <- gnls(weight ~ SSlogis(Time, Asym,
xmid, scal), Soybean,
+ weights = varPower())
> summary(fm1)
Those results plus "str(fm1)" looked like they might help answer your
question. However, I don't understand enough of what you are asking to
say.
If an answer might still be worth pursuing to you, I suggest you read
the posting guide and submit a question following that model to r-help.
spencer graves
Nicholas Lewin-Koh wrote:
> Hi,
> I guess this is a final plea, and maybe this should go to R-help but
> here goes.
> I am writing a set of functions for calibration and prediction, and to
> calculate standard
> errors and intervals I need the variance function to be evaluated at new
> prediction points.
> So for instance
>
> fit<-gnls(Y~SSlogis(foo,Asym,xmid,scal),weights=varPower())
> fit2<-gnls(Y~SSlogis(foo,Asym,xmid,scal),weights=varPower(form=~foo))
>
> Now using fit or fit2 I would like to get the variance function
> evaluated at new points.
> I have played with getCovariateFormula, and looked at Initialize.gnls,
> summary etc.
> but it is not clear to me how to evaluate the form component, especially
> in the case of fit
> above where form=~fitted(.), in any safe way.
>
> I can grep for "fitted" in the formula eg.
> grep("fitted",deparse(getCovariateFormula(fit$modelStruct$varFunc)))
> and try to calculate predicted values from the model for the new points
> but how to substitute back in the new terms?
>
> I don't need this problem solved on a platter, I just need to unedrstand
> an approach,
> because my stabs are failing.
>
> Thanks
>
> Nicholas
>
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--
Spencer Graves, PhD
Senior Development Engineer
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