[R] predicting from a local regression and plotting in lattice

[Gabor Grothendieck]

locfit can extrapolate:

library(locfit)
X <- seq(min(time(Nile)), max(time(Nile))+50)

plot(range(X), range(Nile), type = "n")
lines(Nile)

fit <- locfit(Nile ~ time(Nile))
lines(X, predict(fit, new = X), col = "red")


On Fri, Oct 10, 2008 at 4:42 PM, Alex Karner <aakarner at ucdavis.edu> wrote:
> Hi R community,
>
> I'm running R 2.7.2 on Windows XP SP2.
>
> I'm trying to (1)  plot loess lines for each of my groupings using the same
> color for each group; (2) plot loess predicted values.
>
> The first part is easy:
>  data1 <-
> data.frame(Names=c(rep("Jon",9),rep("Karl",9)),Measurements=c(2,4,16,25,36,49,64,81,100,1,2,5,12,17,21,45,54,67),PlotAt=c(1:9,1:9))
>
>  data2 <-
> data.frame(Names=c(rep("Jonah",9),rep("Beth",9)),Measurements=c(1:5,1,1,1,1,rep(20,9)),PlotAt=c(1:9,1:9))
>
> xyplot(Measurements ~ PlotAt, data = data1, groups=Names,
>
>  panel = function(...) {
>    panel.superpose(...,col="gray",lty=1,lwd=2);
>    },
>  panel.groups = function(...) panel.loess(...)
>  )
>
> My question is, how do I plot predicted values from loess to extend the
> lines beyond the range of x? Let's say I want all lines to stop at x = 15.
> Is there an easy way to do this?
>
>
> Thanks for any help,
> -AK
>
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>
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