Re: [R] safe prediction from lm

From: Spencer Jones <ssj1364_at_gmail.com>
Date: Thu 28 Sep 2006 - 16:24:55 GMT

Sorry to be dense, I am somewhat new to R. But does that mean that SafePrediction is automatically incorporated into lm.predict?

On 9/28/06, Gabor Grothendieck <ggrothendieck@gmail.com> wrote:
>
> See ?SafePrediction for how it works in R.
>
> Also the example here:
> http://www.mayin.org/ajayshah/KB/R/html/o9.html
>
> On 9/28/06, Spencer Jones <ssj1364@gmail.com> wrote:
> > I am fitting a regression model with a bs term and then making
> predictions
> > based on the model. According to some info on the internet at
> > http://www.stat.auckland.ac.nz/~yee/smartpred/DummiesGuide.txt
> >
> > there are some problems with using predict.lm when you have a model with
> > terms such as bs,ns,or poly. However when I used one of the examples
> they
> > said would illustrate the problems I get virtually the same results
> using
> > the standard predict function and "safe prediction" method they propose.
> Has
> > lm been updated so that it can handle terms such as bs,ns, and poly
> > automatically? I am using R 2.3.0
> >
> > this is their example:
> >
> > n <- 100
> > set.seed(86) # For reproducibility of the random numbers
> > x <- sort(runif(n))
> > y <- sort(runif(n))
> > fit <- lm(y ~ bs(x, df=5))
> > plot(x, y,col="blue")
> > lines(x, fitted(fit), col="black")
> > newx <- seq(0, 1, len=n)
> > points(newx, predict(fit, data.frame(x=newx)), type="l", col=red,
> err=-1)
> >
> >
> > thanks,
> >
> > Spencer
> >
> > [[alternative HTML version deleted]]
> >
> > ______________________________________________
> > R-help@stat.math.ethz.ch mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
> >
>

        [[alternative HTML version deleted]]



R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. Received on Fri Sep 29 03:04:17 2006

Archive maintained by Robert King, hosted by the discipline of statistics at the University of Newcastle, Australia.
Archive generated by hypermail 2.1.8, at Thu 28 Sep 2006 - 18:30:10 GMT.

Mailing list information is available at https://stat.ethz.ch/mailman/listinfo/r-help. Please read the posting guide before posting to the list.