generateNormalData: Generates Normally Distributed Data Depending on the Design

In safestats: Safe Anytime-Valid Inference

Generates Normally Distributed Data Depending on the Design

Description

The designs supported are "oneSample", "paired", "twoSample".

Usage

generateNormalData(
  nPlan,
  nSim = 1000L,
  deltaTrue = NULL,
  muGlobal = 0,
  sigmaTrue = 1,
  paired = FALSE,
  seed = NULL,
  muTrue = NULL
)

Arguments

nPlan	vector of max length 2 representing the planned sample sizes.
nSim	the number of replications, that is, experiments with max samples nPlan.
deltaTrue	numeric, the value of the true standardised effect size (test-relevant parameter).
muGlobal	numeric, the true global mean of a paired or two-sample t-test. Its value should not matter for the test. This parameter is treated as a nuisance.
sigmaTrue	numeric > 0,the true standard deviation of the data. Its value should not matter for the test.This parameter treated is treated as a nuisance.
paired	logical, if TRUE then paired t-test.
seed	To set the seed for the simulated data.
muTrue	numeric representing the true mean for simulations with a z-test. Default NULL

Value

Returns a list of two data matrices contains at least the following components:

dataGroup1

a matrix of data dimension nSim by nPlan[1].

dataGroup2

a matrix of data dimension nSim by nPlan[2].

Examples

generateNormalData(20, 15, deltaTrue=0.3)

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