evaldiag.bifd

evalarg

a bivariate functional data object of the <code>bifd</code> class.

bifdobj

either a nonnegative integer or a linear differential operator
object.

sLfd

tLfd

logical:  If TRUE,  a two-dimensional is returned using a
special class from the Matrix package.

returnMatrix

Bivariate function data objects are functions of
two arguments, $f(s,t)$.  It can be useful to evaluate
the function for argument values satisying $s=t$, such
as evaluating the univariate variance function given the
bivariate function that defines the variance-covariance
function or surface.  A linear differential operator can
be applied to function $f(s,t)$ considered as a univariate
function of either object holding the other object fixed.

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.

evaldiag.bifd: Evaluate the Diagonal of a Bivariate Functional Data Object

Description

Usage

Arguments

Value

See Also