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