create.constant.basis

a vector of length 2 containing the initial and final
 values of argument t defining the interval over which the functional
 data object can be evaluated. However, this is seldom used
 since the value of the basis function does not depend on the range
 or any argument values.

rangeval

names

an optional list used by selected <code>plot</code> functions to create
 custom <code>axes</code>. If this <code>axes</code> argument is not
 <code>NULL</code>, functions <code>plot.basisfd</code>, <code>plot.fd</code>,
 <code>plot.fdSmooth</code> <code>plotfit.fd</code>, <code>plotfit.fdSmooth</code>, and
 <code>plot.Lfd</code> will create axes via <code>do.call(x$axes[[1]],
 x$axes[-1])</code>. The primary example of this uses
 <code>list("axesIntervals", ...)</code>, e.g., with <code>Fourier</code> bases
 to create <code>CanadianWeather</code> plots

axes

Create a constant basis object, defining a single basis function
 whose value is everywhere 1.0.

smooth

These functions were developed to support functional data
analysis as described in Ramsay, J. O. and Silverman, B. W.
(2005) Functional Data Analysis. New York: Springer. They were
ported from earlier versions in Matlab and S-PLUS. An
introduction appears in Ramsay, J. O., Hooker, Giles, and
Graves, Spencer (2009) Functional Data Analysis with R and
Matlab (Springer). The package includes data sets and script
files working many examples including all but one of the 76
figures in this latter book. Matlab versions of the code and
sample analyses are no longer distributed through CRAN, as they
were when the book was published. For those, ftp from
<http://www.psych.mcgill.ca/misc/fda/downloads/FDAfuns/>
There you find a set of .zip files containing the functions and
sample analyses, as well as two .txt files giving instructions for
installation and some additional information.
The changes from Version 2.4.1 are fixes of bugs in density.fd and
removal of functions create.polynomial.basis, polynompen, and
polynomial. These were deleted because the monomial basis
does the same thing and because there were errors in the code.

create.constant.basis: Create a Constant Basis

Description

Usage

Arguments

Value

See Also

Examples