[R] getting the smoother matrix from smooth.spline

[Simon Wood]

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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