Perform bootstrap. — bootstrap • SGS

Create a list of num.boots samples of the original dataset.

Usage

bootstrap(object, num.boots = 100, seed = 0, imputation = FALSE, k.impute = 10)

# S4 method for BNDataset
bootstrap(object, num.boots = 100, seed = 0, imputation = FALSE, k.impute = 10)

Arguments

object: the BNDataset object.
num.boots: number of sampled datasets for bootstrap.
seed: random seed.
imputation: TRUE if imputation has to be performed. Default is FALSE.
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).

Examples

if (FALSE) {
dataset <- BNDataset("file.data", "file.header")
dataset <- bootstrap(dataset, num.boots = 1000)
}