> library(sos) > ns. <- findFn('natural spline') found 191 matches; retrieving 10 pages 2 3 4 5 6 7 8 9 10 Downloaded 113 links in 70 packages. > ns2 <- findFn('natural splines') found 145 matches; retrieving 8 pages 2 3 4 5 6 7 8 Downloaded 70 links in 42 packages. > ns2. <- ns.|ns2 > ns2.
# This displayed a table of 137 different help pages sorted to place the package with the most matches first.
> findFn2xls(ns2.) # writes a file with a name like "nls2..xls" to the working directory [getwd()]
# with a sheet giving a summary by package. Hope this helps. Spencer On 8/2/2015 10:10 AM, Marc Lamblin wrote:
Hi all, I'm an engineering student from Politecnico di Milano. I want to perform Smoothing using Smoothing B-splines on syntethic data. The splines must be NATURAL (at the edges the second and third order derivates are zero). How can I impose this constraint? I have searched in R documentation. For Smoothing I use the fda package. From the description of the function smooth.basis() it seems that it is not possible to use natural B-splines. I have found only the function ns() from splines package but in this way you can obtain only the basis and I have seen that this function is used in models expressed in symbolic notation. Thanks in advance!! mggl ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.