fda.usc: int.simpson – R documentation

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int.simpson

Simpson integration

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

int.simpson(fdataobj, method = NULL)

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

`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).

Posible values for method are:

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

Manuel Febrero-Bande, Manuel Oviedo de la Fuente manuel.oviedo@usc.es

## 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)

Functional Data Analysis and Utilities for Statistical Computing

v2.0.2

GPL-2

Authors

Manuel Febrero Bande [aut], Manuel Oviedo de la Fuente [aut, cre], Pedro Galeano [ctb], Alicia Nieto [ctb], Eduardo Garcia-Portugues [ctb]

Initial release

2020-02-17