createDatasetsFromList: Create Dataset List From List of Data Objects

In robustlmm: Robust Linear Mixed Effects Models

Create Dataset List From List of Data Objects

Description

Convert a list of datasets to a dataset list similar to the ones created by generateAnovaDatasets and generateMixedEffectDatasets.

Usage

createDatasetsFromList(
  datasetList,
  formula,
  trueBeta,
  trueSigma,
  trueTheta,
  ...
)

Arguments

datasetList	list of data objects, usually of type data.frame.
formula	formula to fit the model using lmer.
trueBeta	scalar or vector with the true values of the fixed effects coefficients. Can be of length one in which case it will be replicated to the required length if needed.
trueSigma	scalar with the true value of the error scale.
trueTheta	scalar or vector with the true values for the variance component coefficients, not including sigma. Can be of length one in which case it will be replicated to the required length if needed.
...	all additional arguments are added to the returned list.

Details

The returned list can be passed to processFit and to any of the fitDatasets functions. Splitting and binding of datasets using splitDatasets and bindDatasets is not supported.

Value

list that can be passed to processFit and to any of the fitDatasets functions. Only generateData is implemented, all the other functions return an error if called.

See Also

generateAnovaDatasets and generateMixedEffectDatasets

Examples

  data(sleepstudy)
  sleepstudy2 <- sleepstudy
  sleepstudy2[1, "Reaction"] <- sleepstudy2[1, "Reaction"] + 10
  fm1 <- lmer(Reaction ~ Days + (Days|Subject), sleepstudy)
  datasets <- createDatasetsFromList(list(sleepstudy, sleepstudy2),
                                     formula = Reaction ~ Days + (Days|Subject),
                                     trueBeta = getME(fm1, "beta"),
                                     trueSigma = sigma(fm1),
                                     trueTheta = getME(fm1, "theta"))
  fitDatasets_lmer(datasets)

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