The data filters are applied by latrend prior to model estimation. These filters are used in latrendBoot and latrendCV.
bootSample(data, id, seed = NULL)
trainFold(data, fold, id, folds, seed)
testFold(data, fold, id, folds, seed)
The data.frame
representing the model dataset.
The identifier variable name, see idVariable.
Optional seed for ensuring reproducibility.
The fold to select.
Total number of folds to create.
A subset of data
of type data.frame
.
Other validation methods:
createTestDataFold()
,
createTestDataFolds()
,
createTrainDataFolds()
,
latrendBoot()
,
latrendCV()
Other validation methods:
createTestDataFold()
,
createTestDataFolds()
,
createTrainDataFolds()
,
latrendBoot()
,
latrendCV()
Other validation methods:
createTestDataFold()
,
createTestDataFolds()
,
createTrainDataFolds()
,
latrendBoot()
,
latrendCV()