`t_testAB` <-
function(x, y = NULL,
alternative = c("two.sided", "less", "greater"), var.equal = FALSE,
mu = 0, paired = FALSE, conf.level = 0.95, data) {
if (identical(alternative, c("two.sided", "less", "greater"))) {
alternative <- "two.sided"
}
if (is.element(alternative, c("two.sided", "!=", "two.tailed"))) {
pmatching <- 1
}
else if (is.element(alternative, c("less", "<", "lower"))) {
pmatching <- 2
}
else if (is.element(alternative, c("greater", ">", "higher"))) {
pmatching <- 3
}
else {
admisc::stopError("Unknown alternative hypothesis specification.")
}
alternative <- c("two.sided", "less", "greater")[pmatching]
if (!paired) {
homogeneity <- c("not equal", "equal")
if (is.null(y)) {
homogtest <- ansari.test(x, data = data, exact = FALSE)
}
else {
homogtest <- ansari.test(x, y, exact = FALSE)
}
p.value <- homogtest$p.value
var.equal <- ifelse(p.value > (1 - conf.level), TRUE, FALSE)
cat (
"\nThe Ansari-Bradley test for the homogeneity of variances has a value of",
paste("p = ", round(p.value, 4), sep = ""),
" therefore the variances are ",
homogeneity[var.equal + 1],
"\n",
sep = ""
)
}
if (is.null(y)) {
test <- t.test(
x,
alternative = alternative,
conf.level = conf.level,
var.equal = var.equal,
paired = paired, data = data
)
}
else {
test <- t.test(
x,
y,
alternative = alternative,
conf.level = conf.level,
paired = paired,
var.equal = var.equal
)
}
print(test)
if (paired) {
return(invisible(list("t.test" = test)))
}
else {
return(
invisible(
list("Homogeneity of variances" = homogtest, "t.test" = test)
)
)
}
}
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