pboot.1sample.s: Generate p value distributions and estimate of sample...
In mhtboot: Multiple Hypothesis Test Based on Distribution of p Values

Description Usage Arguments Value Examples

If the user chooses to keep sout as TRUE, then this function generates bootstrap distribution of p values and returns the mean of the correlation matrices of all the bootstrap samples generated.

1 2	pboot.1sample.s(X, B = 100, test = t.test, nbx = NROW(X), ncpus = 8, sout = FALSE)

`X`	data matrix
`B`	Bootstrap size
`test`	test to perform
`nbx`	bootstrap sample size, by default same as the data sample size
`ncpus`	number of cpus to use
`sout`	if correlation matrix is needed or not

a list with a matrix containing the p value distributions, and another matrix of correlation matrix.

## Not run: 
n = 50;m = 250;m0 = 20;
sigeff = 1;
Sigma <- 0.25*diag(m)
X <- datgen(n,m,m0,sigeff,Sigma = Sigma)
porder <- pboot.1sample.s(X=X,B=100,sout = TRUE,ncpus = 1)
plotpboot(porder)

## End(Not run)