From: Rolf Turner
>
> On 8/09/2009, at 9:07 PM, FMH wrote:
>
> > Dear All,
> >
> > I'm looking for a way on computing the derivative of first and
> > second order of a smoothing curve produced by a nonprametric
> > regression. For instance, if we run the R script below, a smooth
> > nonparametric regression curve is produced.
> >
> > provide.data(trawl)
> > Zone92 <- (Year == 0 & Zone == 1)
> > Position <- cbind(Longitude - 143, Latitude)
> > dimnames(Position)[[2]][1] <- "Longitude - 143"
> > sm.regression(Longitude, Score1, method = "aicc", col = "red",
> > model = "linear")
> >
> > Could someone please give some hints on the way to find the
> > derivative on the curve at some points ?
>
> See
>
> ?smooth.spline
> and
> ?predict.smooth.spline
Since sm.regression() (from the sm package, I presume) uses kernel
methods, a kernel-based estimator of derivatives is available in the
KernSmooth package.
Andy
> cheers,
>
> Rolf Turner
>
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