Nothing
predIntLnormAltTestPower <-
function (n, df = n - 1, n.geomean = 1, k = 1, ratio.of.means = 1,
cv = 1, pi.type = "upper", conf.level = 0.95)
{
pi.type <- match.arg(pi.type, c("upper", "lower"))
if (!is.vector(n, mode = "numeric") || !all(is.finite(n)) ||
any(n < 2))
stop(paste("'n' must be a numeric vector", "with all elements greater than or equal to 2",
"and no Missing (NA), Infinite (-Inf, Inf),", "or Undefined (Nan) values."))
if (!is.vector(df, mode = "numeric") || !all(is.finite(df)) ||
any(df < 1))
stop(paste("'df' must be a numeric vector", "with all elements greater than or equal to 1",
"and no Missing (NA), Infinite (-Inf, Inf),", "or Undefined (Nan) values."))
if (!is.vector(n.geomean, mode = "numeric") || !all(is.finite(n.geomean)) ||
any(n.geomean < 1))
stop(paste("'n.geomean' must be a numeric vector", "with all elements greater than or equal to 1",
"and no Missing (NA), Infinite (-Inf, Inf),", "or Undefined (Nan) values."))
if (!is.vector(k, mode = "numeric") || !all(is.finite(k)) ||
!all(k == trunc(k)) || any(k < 1))
stop(paste("'k' must be a numeric vector of integers",
"with all elements greater than 0", "and no Missing (NA), Infinite(-Inf, Inf),",
"or Undefined (Nan) values."))
if (!is.vector(ratio.of.means, mode = "numeric") || !all(is.finite(ratio.of.means)) ||
any(ratio.of.means <= .Machine$double.eps))
stop(paste("'ratio.of.means' must be a numeric vector",
"of positive values", "with no Missing (NA), Infinite(-Inf, Inf),",
"or Undefined (Nan) values."))
if (!is.vector(cv, mode = "numeric") || !all(is.finite(cv)) ||
any(cv <= .Machine$double.eps))
stop(paste("'cv' must be a numeric vector", "of positive values",
"with no Missing (NA), Infinite(-Inf, Inf),", "or Undefined (Nan) values."))
if (!is.vector(conf.level, mode = "numeric") || !all(is.finite(conf.level)) ||
any(conf.level <= .Machine$double.eps) || any(conf.level >=
1 - .Machine$double.eps))
stop(paste("'conf.level' must be a numeric vector", "with all elements between 0 and 1",
"and no Missing (NA), Infinite(-Inf, Inf),", "or Undefined (Nan) values."))
arg.mat <- cbind.no.warn(n = as.vector(n), df = as.vector(df),
n.geomean = as.vector(n.geomean), k = as.vector(k), ratio.of.means = as.vector(ratio.of.means),
cv = as.vector(cv), conf.level = as.vector(conf.level))
for (i in c("n", "df", "n.geomean", "k", "ratio.of.means",
"cv", "conf.level")) assign(i, arg.mat[, i])
delta.over.sigma <- log(ratio.of.means)/sqrt(log(cv^2 + 1))
predIntNormTestPower(n = n, df = df, n.mean = n.geomean,
k = k, delta.over.sigma = delta.over.sigma, pi.type = pi.type,
conf.level = conf.level)
}
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