getSimulationData: getSimulationData

In reproducer: Reproduce Statistical Analyses and Meta-Analyses

getSimulationData

Description

Function to generate the simulated data set used in a paper 'Effect Sizes and their Variance for AB/BA Crossover Design Studies' by Lech Madeyski and Barbara Kitchenham

Usage

getSimulationData(
  var,
  covar,
  meanA1,
  treatmentDiff,
  periodEffect,
  numOfSamples
)

Arguments

var	Variance among subjects is a sum of the between subjects variance and the within subjects variance
covar	Covariance equal to the between subjects variance
meanA1	Mean for treatment sequence A1
treatmentDiff	technique effect which is the difference between the effect of technique A and technique B
periodEffect	Period effect which is the difference between period 1 and period 2
numOfSamples	Number of samples ('rows' of data) required for each technique and period

Details

——————————————————————————————————- Functions related to a paper 'Effect sizes and their variance for AB/BA crossover design studies' by Lech Madeyski and Barbara Kitchenham ——————————————————————————————————-

Value

Data frame: 'data.frame': 4*numOfSamples obs. of 5 variables: $ pid : int 1 2 3 4 5 6 7 8 9 10 ... $ technique: Factor w/ 2 levels 'T1','T2': ... $ period : Factor w/ 2 levels 'P1','P2': ... $ sequence : Factor w/ 2 levels 'S1','S2': ... $ result : num ...

Author(s)

Lech Madeyski and Barbara Kitchenham

Examples

# generate the simulated data set from the paper
data <- getSimulationData(25, 18.75, 50, 10, 5, 500)
data <- getSimulationData(25, 18.75, 50, 10, 5, 15)

reproducer documentation built on Oct. 18, 2023, 5:10 p.m.