Hello:
If B-splines will suffice, there are many capabilities in R for
that. My favorite is the 'fda' package, but 'splines' and other
packages are also good.
The "splinefun" function in the "base" package returns a function
to compute spline interpolations optionally using a natural spline.
However, that is an interpolation spline and therefore does no smoothing.
To find other options for natural splines, I suggest you try the
CRAN packages splines, mboost, pspline, Design, and mgcv. I found them
using the "RSiteSearch" packages available from R-Forge via
'install.packages("RSiteSearch", repos="http://r-forge.r-project.org";)',
which also identified the "siggenes" package (which is not on CRAN). I
don't know if any of these actually use natural splines, but this gives
you a reasonably short list to consider.
Hope this helps.
Spencer Graves
p.s. The following are the commands I used with the "RSiteSearch"
package:
library(RSiteSearch)
natSpl <- RSiteSearch.function('natural spline')
str(natSpl)
summary(natSpl)
natSpl[1:23, c(1, 4, 5, 7)]
minben wrote:
Suppose I have two var x and y,now I want to fits a natural cubic
spline in x to y,at the same time create new var containing the
smoothed values of y. How can I get it?
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