bootstrap | R Documentation |
Create a list of num.boots
samples of the original dataset.
bootstrap(object, num.boots = 100, seed = 0, imputation = FALSE, k.impute = 10)
## S4 method for signature 'BNDataset'
bootstrap(object, num.boots = 100, seed = 0, imputation = FALSE, k.impute = 10)
object |
the |
num.boots |
number of sampled datasets for bootstrap. |
seed |
random seed. |
imputation |
|
k.impute |
number of neighbours to be used; for discrete variables we use mode, for continuous variables the median value is instead taken (useful only if imputation == TRUE). |
## Not run:
dataset <- BNDataset("file.data", "file.header")
dataset <- bootstrap(dataset, num.boots = 1000)
## End(Not run)
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