[R] Smoothing Spline Basis Matrix

[D Sonderegger]

I believe that smooth.spline fits a cubic B-spline to the data.  So you just
need to know the knot points (which are returned by smooth.spline as
spl$fit$knot) and then use the bs() function in the splines library.


pinkdd wrote:
> 
> Anybody knows how to generate the basis matrix for smoothing spline? 
> 
> And how about the smoother matrix? I tried to use the following code, but
> there exist replicated data in X, and the length of smooth.spline(X,
> S[,i])$y  is smaller than X, and then there is error in the last step.
> 
> spl <- smooth.spline(X, Y)
> S <- diag(X)
> for (i in 1:N)
> S[i,] <- smooth.spline(X, S[,i])$y #smoother matrix S
> 
> 
> Someone help please! Thanks in advance.
> 
-- 
View this message in context: http://n4.nabble.com/Smoothing-Spline-Basis-Matrix-tp1573131p1573597.html
Sent from the R help mailing list archive at Nabble.com.