robustlmm (version 3.3-1)

bindDatasets: Bind Generated Datasets

Description

This method can be used to bind multiple datasets generated using different random genrators into one large dataset. The underlying dataset needs to be the same.

Usage

bindDatasets(..., datasetList = list(...))

Value

merged list with generators and the contents of the prepared dataset. See `prepareMixedEffectDataset and

generateAnovaDatasets for a description of the contents.

Arguments

...

multiple datasets to be bound together

datasetList

list of datasets created with one of the generate dataset functions

Author

Manuel Koller

See Also

splitDatasets

Examples

  datasets1 <- generateAnovaDatasets(2, 4, 4, 4)
  datasets2 <- generateAnovaDatasets(2, 4, 4, 4)
  datasets <- bindDatasets(datasets1, datasets2)
  data <- datasets$generateData(1)
  stopifnot(data$numberOfDatasets == 4,
            all.equal(datasets2$generateData(1), datasets$generateData(3),
                      check.attributes = FALSE),
            all.equal(datasets2$sphericalRandomEffects(1), datasets$sphericalRandomEffects(3)),
            all.equal(datasets2$createXMatrix(data), datasets$createXMatrix(data)),
            all.equal(datasets2$createZMatrix(data), datasets$createZMatrix(data)))

  preparedDataset <- prepareMixedEffectDataset(Reaction ~ Days + (Days|Subject), sleepstudy)
  datasets1 <- generateMixedEffectDatasets(2, preparedDataset)
  datasets2 <- generateMixedEffectDatasets(2, preparedDataset)
  datasets <- bindDatasets(datasets1, datasets2)
  data <- datasets$generateData(1)
  stopifnot(data$numberOfDatasets == 4,
            all.equal(datasets2$generateData(1), datasets$generateData(3),
                      check.attributes = FALSE),
            all.equal(datasets2$sphericalRandomEffects(1), datasets$sphericalRandomEffects(3)),
            all.equal(datasets2$createXMatrix(data), datasets$createXMatrix(data)),
            all.equal(datasets2$createZMatrix(data), datasets$createZMatrix(data)))