Displaying 5 results from an estimated 5 matches for "fdpar".
2013 Apr 28
0
Positive Smoothing in fda package
...ng to build some fda objects using smooth.pos() from fda package.
Here is what I try:
>X <-c(0.4541139, 0.4802537, 0.5091228, 0.3894931, 2.1512258,
>7.9301281, 62.3876109, 54.1168247, 67.8769904, 91.0670615, 20.0682440)
>basis <- create.bspline.basis(c(-100, 100), 7, 5)
>MDA.fdPar <- fdPar(basis, 2, 0.01)
>MDA.fda.joint <- smooth.pos(argvals=seq(from=-100, to=100, length=11),
>y=X, WfdParobj=MDA.fdPar)
Iter. PENSSE Grad Length
0 1780.78 -1780.78
1 1753.525 14.318
2 1749.296 15.0611
3 1747.625 15.3031
4 17...
2008 Dec 01
2
Warning: missing text for item ... in \describe?
...ot;Warning:
missing text for item ... in \describe" with "R CMD check" and "R CMD
install"?
With the current version of "fda" on R-Forge, I get the following:
Warning: missing text for item 'fd' in \describe
Warning: missing text for item 'fdPar' in \describe
I found a where someone else asked about essentially this warning
message, but I didn't find a reply. I also found that
"https://svn.r-project.org/R/trunk/share/perl/R/Rdconv.pm" is coded to
issue such messages. However, I still don't know what I'...
2009 Oct 23
1
Functional data analysis - problems with smoothing
...unctional data
I'm referring to Jim Ramsay's
examples in his books. The following error message keeps appearing,
despite all my data being numeric.... can anyone kindly offer any suggestions?
isi - vector of argument values - i.e. the independent variable of the curves
rlz - data array
TMSfdPar - functional data parameter.
> TMSfdPar = fdPar(TMSbasis, 4, 0.01)
> TMSfdsmooth = smooth.basis(isi, rlz, TMSfdPar)
Error in smooth.basis(isi, rlz, TMSfdPar) : 'argvals' is not numeric.
I don't understand why the error message keeps popping up. I've tried playing around with...
2011 Nov 18
0
Predicting response from new curves using fda package
...as doing a regression (using fRegress from the
fda package) but have no idea how to apply the results to a NEW set of
curves (for prediction).
I have N=536 curves, and 536 scalar responses. Here's what I've done so far:
* I've created a basis for the curves.
* I've created a fdPar object to introduce a penalty
* I've created the fd object using smooth.basis to smooth the curves
with the chosen penalty on the specified basis.
* I've ran a regression using fRegress(), regressing the curves on the
scalar response.
Now, all I'd like to do, is use that re...
2012 Mar 20
1
S3 methods with full name in documentation?
Hello:
Is there a recommended way to inform "R CMD check" that a
function like "as.numeric" is NOT a method for the S3 generic function
"as" for objects of class "numeric"?
I ask, because I'm getting "NOTE" messages for many function
names like this (e.g., "density.fd" in the "fda" package): If there