ECFsup (version 0.1-2)

KSCovL2: L2-norm based test of equality of several covariance functions

Description

L2-norm test of equality of several covariance functions, using resampling to approximate the null distribution.

Usage

KSCovL2(data, Nsim = 1000)

Arguments

data

The list variable containing k groups of presmoothed functional observations. Each element of the list is a p (number sampling points) by n (sample size) matrix.

Nsim

Number of pseudo samples by resampling, default=1000.

Value

The p-value of the test.

Details

L2-norm test of equality of several covariance functions, see Zhang (2013), Guo et al. (2016).

References

ZHANG (2013), GUO et al. (2016), PAPARODITIS and SAPATINAS (2016).

See Also

KSCovL2WS, KSCovsup.

Examples

fdata<-list();
fdata[[1]]<-matrix(rnorm(200),20,10);
fdata[[1]]<-matrix(rnorm(300),20,15);
KSCovL2(fdata)
KSCovL2(fdata, 500)