robustlmm (version 3.3-1)

splitDatasets: Split Datasets Into Chunks

Description

Method that splits up dataset objects into smaller chunks, so that they can be processed separately.

Usage

splitDatasets(datasets, chunkSize = 50)

Value

list of dataset lists with generators and the contents of the original dataset. See prepareMixedEffectDataset and

generateAnovaDatasets for a description of the contents. There is one additional entry in the list:

chunkIndex:

index of the chunk

Arguments

datasets

dataset object to split into chunks

chunkSize

number of datasets to keep in one chunk

Author

Manuel Koller

See Also

bindDatasets

Examples

  oneWay <- generateAnovaDatasets(18, 1, 5, 4)
  datasetList <- splitDatasets(oneWay, 5)
  data <- datasetList[[4]]$generateData(1)
  stopifnot(all.equal(oneWay$generateData(16), datasetList[[4]]$generateData(1),
                      check.attributes = TRUE),
            all.equal(oneWay$sphericalRandomEffects(16),
                      datasetList[[4]]$sphericalRandomEffects(1)),
            all.equal(oneWay$createXMatrix(data), datasetList[[4]]$createXMatrix(data)),
            all.equal(oneWay$createZMatrix(data), datasetList[[4]]$createZMatrix(data)))