splitDatasets: Split Datasets Into Chunks

In kollerma/robustlmm: Robust Linear Mixed Effects Models

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)

Arguments

datasets	dataset object to split into chunks
chunkSize	number of datasets to keep in one chunk

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

Author(s)

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)))

kollerma/robustlmm documentation built on June 14, 2025, 11:05 a.m.