robustlmm (version 3.3-1)

generateMixedEffectDatasets: Generate Mixed Effects Datasets

Description

Generates mixed effects datasets using parametric bootstrap.

Usage

generateMixedEffectDatasets(
  numberOfDatasetsToGenerate,
  preparedDataset,
  errorGenerator = rnorm,
  randomEffectGenerator = rnorm
)

Value

list with generators and the contents of the prepared dataset. See

prepareMixedEffectDataset and

generateAnovaDatasets for a description of the contents.

Arguments

numberOfDatasetsToGenerate

number of datasets to generate.

preparedDataset

dataset as prepared by prepareMixedEffectDataset.

errorGenerator

random number generator used for the errors.

randomEffectGenerator

random number generator used for the spherical random effects.

Author

Manuel Koller

See Also

generateAnovaDatasets, prepareMixedEffectDataset and createDatasetsFromList

Examples

  preparedDataset <- prepareMixedEffectDataset(Reaction ~ Days + (Days|Subject), sleepstudy)
  datasets <- generateMixedEffectDatasets(2, preparedDataset)
  head(datasets$generateData(1))
  head(datasets$generateData(2))
  datasets$formula
  head(datasets$randomEffects(1))
  head(datasets$sphericalRandomEffects(1))
  head(datasets$errors(1))