Evaluate the Diagonal of a Bivariate Functional Data Object
evaldiag.bifd
Language Reference for FDA Library

Evaluate the Diagonal of a Bivariate Functional Data Object

DESCRIPTION:

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.

USAGE:

evaldiag.bifd(evalarg, bifdobj, sLfd=int2Lfd(0),
                                tLfd=int2Lfd(0))

REQUIRED ARGUMENTS:

evalarg
a vector of values of s = t.
bifdobj
a bivariate functional data object of the bifd class.

OPTIONAL ARGUMENTS:

sLfd
either a nonnegative integer or a linear differential operator object.
tLfd
either a nonnegative integer or a linear differential operator object.

VALUE:

a vector or matrix of diagonal function values.

SEE ALSO:

var.fd, eval.bifd