oneSPLmax: oneSPL of sup-norm test

In ECFsup: Equal Covariance Functions Testing by L2-Norm and Sup-Norm

Description

Generate one pseudo sample by resampling and compute the value of the sup-norm test statistic.

Usage

oneSPLmax(odata, sample_num, k, p, n)

Arguments

odata	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.
sample_num	vector of group sizes.
k	number of groups.
p	number of time points.
n	total number of samples.

Details

The input data should have been centered.

Value

The value of test statistic.

References

ZHANG (2013), GUO et al. (2016).

See Also

oneSPL, oneSPLL2.

Examples

p <- 100; sample_num <- c(40,60); k <- length(sample_num); n <- sum(sample_num);
odata <- matrix(rnorm(p*n),p,n);
oneSPL(odata, sample_num, k, p, n);

ECFsup documentation built on May 2, 2019, 1:08 p.m.