splitDatasets {robustlmm} | R Documentation |
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
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)))
[Package robustlmm version 3.3-1 Index]