computeNPlanBatchSafeZ {safestats} | R Documentation |
Helper function: Computes the planned sample size based on the minimal clinical relevant mean difference, alpha and beta.
Description
Helper function: Computes the planned sample size based on the minimal clinical relevant mean difference, alpha and beta.
Usage
computeNPlanBatchSafeZ(
meanDiffMin,
alpha = 0.05,
beta = 0.2,
sigma = 1,
kappa = sigma,
alternative = c("twoSided", "greater", "less"),
testType = c("oneSample", "paired", "twoSample"),
tol = 1e-05,
highN = 1e+06,
ratio = 1,
parameter = NULL,
grow = TRUE
)
Arguments
meanDiffMin |
numeric that defines the minimal relevant mean difference, the smallest population mean that we would like to detect. |
alpha |
numeric in (0, 1) that specifies the tolerable type I error control –independent on n– that the designed test has to adhere to. Note that it also defines the rejection rule e10 > 1/alpha. |
beta |
numeric in (0, 1) that specifies the tolerable type II error control necessary to calculate both "n" and "phiS". Note that 1-beta defines the power. |
sigma |
numeric > 0 representing the assumed population standard deviation used for the test. |
kappa |
the true population standard deviation. Default kappa=sigma. |
alternative |
a character string specifying the alternative hypothesis must be one of "twoSided" (default), "greater" or "less". |
testType |
either one of "oneSample", "paired", "twoSample". |
tol |
a number that defines the stepsizes between the lowParam and highParam. |
highN |
integer that defines the largest n of our search space for n. This might be the largest n that we are able to fund. |
ratio |
numeric > 0 representing the randomisation ratio of condition 2 over condition 1. If testType is not equal to "twoSample", or if nPlan is of length(1) then ratio=1. |
parameter |
optional test defining parameter. Default set to |
grow |
logical, default set to |
Value
a list which contains at least nPlan and the phiS, that is, the parameter that defines the safe test.