[R] getting the smoother matrix from smooth.spline

[Gabor Grothendieck]

Perhaps this could be developed into a spline smooth method
for model.matrix and included in R.

On 6/30/06, Simon Wood <sw283 at maths.bath.ac.uk> wrote:
> smooth.matrix = function(x, df){
>  n = length(x);
>  A = matrix(0, n, n);
>  for(i in 1:n){
>        y = rep(0, n); y[i]=1;
>        yi = predict(smooth.spline(x, y, df=df),x)$y;
>        A[,i]= yi;
> }
>  (A+t(A))/2;
> }
>
>
> >- Simon Wood, Mathematical Sciences, University of Bath, Bath BA2 7AY
> >-             +44 (0)1225 386603         www.maths.bath.ac.uk/~sw283/
>
>
> On Sat, 24 Jun 2006, Gregory Gentlemen wrote:
>
> > Can anyone tell me the trick for obtaining the smoother matrix from smooth.spline when there are non-unique values for x. I have the following code but, of course, it only works when all values of x are unique.
> >
> >  ## get the smoother matrix (x having unique values
> > smooth.matrix = function(x, df){
> > n = length(x);
> > A = matrix(0, n, n);
> > for(i in 1:n){
> >       y = rep(0, n); y[i]=1;
> >       yi = smooth.spline(x, y, df=df)$y;
> >       A[,i]= yi;
> > }
> > (A+t(A))/2;
> > }
> >
> >
> >  Thanks for any assistance,
> >  Gregory
> >
> >
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