Nothing
epval_Bai1996 <- function(sam1, sam2, n.iter = 1000, seeds){
if(missing(seeds)){
seeds <- NULL
}else{
if(length(seeds) != n.iter){
seeds <- NULL
cat("The length of seeds does not match the specified n.iter.\n")
cat("Seeds for each permutation/resampling iteration are assigned randomly.\n")
}
}
n1 <- dim(sam1)[1]
n2 <- dim(sam2)[1]
tau <- (n1 + n2)/(n1*n2)
n <- n1 + n2 - 2
p <- dim(sam1)[2]
sam <- rbind(sam1, sam2)
diff <- colMeans(sam1) - colMeans(sam2)
XX <- t(diff) %*% diff
bai1996.stat <- as.numeric(XX)
bai1996.stat.perm <- numeric(n.iter)
for(i in 1:n.iter){
if(!is.null(seeds)) set.seed(seeds[i])
perm <- sample(1:(n1 + n2))
sam.perm <- sam[perm,]
sam1.perm <- sam.perm[1:n1,]
sam2.perm <- sam.perm[(n1 + 1):(n1 + n2),]
diff.perm <- colMeans(sam1.perm) - colMeans(sam2.perm)
XX.perm <- t(diff.perm)%*%diff.perm
bai1996.stat.perm[i] <- as.numeric(XX.perm)
}
bai1996.pval <- (sum(bai1996.stat.perm >= bai1996.stat) + 1)/(n.iter + 1)
names(bai1996.pval) <- "Bai1996"
out <- NULL
out$sam.info <- c("n1" = n1, "n2" = n2, "p" = p)
out$cov.assumption <- "the two groups have same covariance"
out$method <- "permutation"
out$pval <- bai1996.pval
return(out)
}
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