fda (version 2.4.7)

coef.fd: Extract functional coefficients

Description

Obtain the coefficients component from a functional object (functional data, class fd, functional parameter, class fdPar, a functional smooth, class fdSmooth, or a Taylor spline representation, class Taylor.

Usage

# S3 method for fd
coef(object, ...)
# S3 method for fdPar
coef(object, ...)
# S3 method for fdSmooth
coef(object, ...)
# S3 method for Taylor
coef(object, ...)
# S3 method for fd
coefficients(object, ...)
# S3 method for fdPar
coefficients(object, ...)
# S3 method for fdSmooth
coefficients(object, ...)
# S3 method for Taylor
coefficients(object, ...)

Arguments

object

An object whose functional coefficients are desired

…

other arguments

Value

A numeric vector or array of the coefficients.

Details

Functional representations are evaluated by multiplying a basis function matrix times a coefficient vector, matrix or 3-dimensional array. (The basis function matrix contains the basis functions as columns evaluated at the evalarg values as rows.)

See Also

coef fd fdPar smooth.basisPar smooth.basis

Examples

# NOT RUN {
##
## coef.fd
##
bspl1.1 <- create.bspline.basis(norder=1, breaks=0:1)
fd.bspl1.1 <- fd(0, basisobj=bspl1.1)
coef(fd.bspl1.1)
# }
# NOT RUN {
##
## coef.fdPar 
##
rangeval <- c(-3,3)
#  set up some standard normal data
x <- rnorm(50)
#  make sure values within the range
x[x < -3] <- -2.99
x[x >  3] <-  2.99
#  set up basis for W(x)
basisobj <- create.bspline.basis(rangeval, 11)
#  set up initial value for Wfdobj
Wfd0 <- fd(matrix(0,11,1), basisobj)
WfdParobj <- fdPar(Wfd0)

coef(WfdParobj)
# }
# NOT RUN {
##
## coef.fdSmooth
##

girlGrowthSm <- with(growth, smooth.basisPar(argvals=age, y=hgtf, 
                                             lambda=0.1)$fd)
coef(girlGrowthSm)
# }
# NOT RUN {
##
## coef.Taylor 
##
# coming soon.

# }