getSimulationData function

getSimulationData

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

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

Returns

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 ...

Details

------------------------------------------------------------------------------------------------------- Functions related to a paper 'Effect sizes and their variance for AB/BA crossover design studies' by 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)

Author(s)

Lech Madeyski and Barbara Kitchenham