int.simpson: Simpson integration

In fda.usc: Functional Data Analysis and Utilities for Statistical Computing

Simpson integration

Description

Computes the integral of fdataobj$data with respect to fdataobj$argvals using simpson or trapezoid rule integration.

Usage

int.simpson(fdataobj, method = NULL)

int.simpson2(x, y, equi = TRUE, method = NULL)

Arguments

fdataobj	fdata objtect.
method	Method for numerical integration, see details.
x	Sorted vector of x-axis values: argvals.
y	Vector of y-axis values.
equi	=TRUE, the observed points on each curve are equally spaced (by default).

Details

Posible values for method are:

• "TRAPZ": Trapezoid rule integration.

• "CSR": Composite Simpson's rule integration.

• "ESR": Extended Simpson's rule integration.

If method=NULL (default), the value of par.fda.usc$int.method is used.

Author(s)

Manuel Febrero-Bande, Manuel Oviedo de la Fuente [e-mail]

See Also

See also integrate.

Examples

## Not run: 
x<-seq(0,2*pi,length=1001)
fx<-fdata(sin(x)/sqrt(pi),x)
fx0<-fdata(rep(0,length(x)),x)
int.simpson(fx0)
int.simpson(fx)

## End(Not run)

fda.usc documentation built on Oct. 17, 2022, 9:06 a.m.