Nothing
tTestLnormAltN <-
function (ratio.of.means, cv = 1, alpha = 0.05, power = 0.95,
sample.type = ifelse(!is.null(n2), "two.sample", "one.sample"),
alternative = "two.sided", approx = FALSE, n2 = NULL, round.up = TRUE,
n.max = 5000, tol = 1e-07, maxiter = 1000)
{
sample.type <- match.arg(sample.type, c("one.sample", "two.sample"))
alternative <- match.arg(alternative, c("two.sided", "less",
"greater"))
if (!is.vector(ratio.of.means, mode = "numeric") || !is.vector(cv,
mode = "numeric") || !is.vector(alpha, mode = "numeric") ||
!is.vector(power, mode = "numeric"))
stop("'ratio.of.means', 'cv', 'alpha', and 'power' must be numeric vectors.")
if (!all(is.finite(ratio.of.means)) || !all(is.finite(cv)) ||
!all(is.finite(alpha)) || !all(is.finite(power)))
stop(paste("Missing (NA), Infinite (Inf, -Inf), and",
"Undefined (Nan) values are not allowed in", "'ratio.of.means', 'cv', 'alpha', or 'power'"))
if (any(ratio.of.means <= 0))
stop("All values of 'ratio.of.means' must be positive")
if (any(cv <= 0))
stop("All values of 'cv' must be positive")
if (any(alpha <= 0) || any(alpha >= 1))
stop("All values of 'alpha' must be greater than 0 and less than 1")
if (any(power <= alpha) || any(power >= 1))
stop(paste("All values of 'power' must be greater than or equal to",
"the corresponding elements of 'alpha' and less than 1"))
if (alternative == "greater" && any(ratio.of.means <= 1))
stop(paste("When alternative='greater',", "all values of 'ratio.of.means' must be greater than 1."))
if (alternative == "less" && any(ratio.of.means >= 1 | ratio.of.means <=
0))
stop(paste("When alternative='less',", "all values of 'ratio.of.means' must be greater than 0",
"and less than 1."))
if (!is.vector(n.max, mode = "numeric") || length(n.max) !=
1 || !is.finite(n.max) || n.max != trunc(n.max) || n.max <
2)
stop("'n.max' must be a positive integer greater than 1")
if (!is.vector(maxiter, mode = "numeric") || length(maxiter) !=
1 || !is.finite(maxiter) || maxiter != trunc(maxiter) ||
maxiter < 2)
stop("'maxiter' must be a positive integer greater than 1")
delta.over.sigma <- log(ratio.of.means)/sqrt(log(cv^2 + 1))
ret.val <- tTestN(delta.over.sigma = delta.over.sigma, alpha = alpha,
power = power, sample.type = sample.type, alternative = alternative,
approx = approx, n2 = n2, round.up = round.up, n.max = n.max,
tol = tol, maxiter = maxiter)
ret.val
}
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