polyg: Polygonal Basis Function Values

In fda: Functional Data Analysis

Polygonal Basis Function Values

Description

Evaluates a set of polygonal basis functions, or a derivative of these functions, at a set of arguments.

Usage

polyg(x, argvals, nderiv=0)

Arguments

x	a vector of argument values at which the polygonal basis functions are to evaluated.
argvals	a strictly increasing set of argument values containing the range of x within it that defines the polygonal basis. The default is x itself.
nderiv	the order of derivative to be evaluated. The derivative must not exceed one. The default derivative is 0, meaning that the basis functions themselves are evaluated.

Value

a matrix of function values. The number of rows equals the number of arguments, and the number of columns equals the number of basis

References

Ramsay, James O., Hooker, Giles, and Graves, Spencer (2009), Functional data analysis with R and Matlab, Springer, New York.

Ramsay, James O., and Silverman, Bernard W. (2005), Functional Data Analysis, 2nd ed., Springer, New York.

Ramsay, James O., and Silverman, Bernard W. (2002), Applied Functional Data Analysis, Springer, New York.

See Also

create.polygonal.basis, polygpen

Examples

oldpar <- par(no.readonly=TRUE)
#  set up a set of 21 argument values
x <- seq(0,1,0.05)
#  set up a set of 11 argument values
argvals <- seq(0,1,0.1)
#  with the default period (1) and derivative (0)
basismat <- polyg(x, argvals)
#  plot the basis functions
matplot(x, basismat, type="l")
par(oldpar)

fda documentation built on May 29, 2024, 11:26 a.m.