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Create the training data for each of the k models in k-fold cross validation evaluation
createTrainDataFolds( data, folds = 10, id = getOption("latrend.id"), seed = NULL )
A data.frame representing the complete dataset.
data.frame
The number of folds. By default, a 10-fold scheme is used.
The trajectory identifier variable.
The seed to use, in order to ensure reproducible fold generation at a later moment.
A list of data.frame of the folds training datasets.
list
folds
Other validation methods: createTestDataFolds(), createTestDataFold(), latrendBoot(), latrendCV(), lcModel-data-filters
createTestDataFolds()
createTestDataFold()
latrendBoot()
latrendCV()
lcModel-data-filters
# NOT RUN { data(latrendData) trainFolds <- createTrainDataFolds(latrendData, folds = 10, id = "Id") trainFolds <- createTrainDataFolds(latrendData, folds = 10, id = "Id", seed = 1) # }
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