computeNPlanBatchSafeT: Helper function: Computes the planned sample size for the...

In safestats: Safe Anytime-Valid Inference

Helper function: Computes the planned sample size for the safe t-test based on the minimal clinically relevant standardised effect size, alpha and beta.

Description

Helper function: Computes the planned sample size for the safe t-test based on the minimal clinically relevant standardised effect size, alpha and beta.

Usage

computeNPlanBatchSafeT(
  deltaMin,
  alpha = 0.05,
  beta = 0.2,
  alternative = c("twoSided", "greater", "less"),
  testType = c("oneSample", "paired", "twoSample"),
  lowN = 3,
  highN = 1e+06,
  ratio = 1
)

Arguments

deltaMin	numeric that defines the minimal relevant standardised effect size, the smallest effect size that we would the experiment to be able to detect.
alpha	numeric in (0, 1) that specifies the tolerable type I error control –independent of 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 the sample sizes and deltaS, which defines the test. Note that 1-beta defines the power.
alternative	a character string specifying the alternative hypothesis must be one of "twoSided" (default), "greater" or "less".
testType	either one of "oneSample", "paired", "twoSample".
lowN	integer minimal sample size of the (first) sample when computing the power due to optional stopping. Default lowN is set 1.
highN	integer minimal sample size of the (first) sample when computing the power due to optional stopping. Default highN is set 1e6.
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.

Value

a list which contains at least nPlan and the phiS the parameter that defines the safe test

safestats documentation built on Nov. 24, 2022, 5:07 p.m.