bindDatasets: Bind Generated Datasets

In robustlmm: Robust Linear Mixed Effects Models

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(...))

Arguments

...	multiple datasets to be bound together
datasetList	list of datasets created with one of the generate dataset functions

Value

merged list with generators and the contents of the prepared dataset. See 'prepareMixedEffectDataset and generateAnovaDatasets for a description of the contents.

Author(s)

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)))

robustlmm documentation built on Nov. 15, 2023, 1:07 a.m.