SK.sim: Srivastava and Kubokawa Simulator

In highD2pop: Two-Sample Tests for Equality of Means in High Dimension

Description

Performs the test from Srivastava and Kubokawa (2013) on multiple data sets generated by build2popData.

Usage

SK.sim(DATA)

Arguments

DATA	an object returned by build2popData.

Value

A data frame with columns

TSvalues	values of the test statistic.
pvalues	the p values.

Author(s)

Karl Gregory [e-mail], http://www.stat.tamu.edu/~kbgregory.

References

Srivastava, M. S. and Kubokawa, T. (2013). Tests for multivariate analysis of variance in high dimension under non-normality. Journal of Multivariate Analysis 115, 204216.

See Also

SK.test

Examples

	
## Not run: 
DATA <-build2popData(	
	n = 15,
	m = 20,
	p = 500,
	muX = rep(0,500),
	muY = rep(0,500),
	commoncov = FALSE,
	VarScaleY = 1,
	dep = "ARMA",
	ARMAparms = list(coefs=list(ma=c(.2,.3) , ar=c(.4,-.1))),
	LRparm = .75,
	S = 25,
	innov = function(n,...) rnorm(n,0,1),
	heteroscedastic=TRUE,
	het.diag = diag(.1 + rexp(500,1/2))
	)	
	
SK.sim(DATA)


## End(Not run)

highD2pop documentation built on May 2, 2019, 5:11 a.m.