sample_random: Random sampling

In daltoolbox: Leveraging Experiment Lines to Data Analytics

Random sampling

Description

Train/test split and k‑fold partitioning by simple random sampling.

Usage

sample_random()

Value

returns an object of class 'sample_random

Examples

#using random sampling
sample <- sample_random()
tt <- train_test(sample, iris)

# distribution of train
table(tt$train$Species)

# preparing dataset into four folds
folds <- k_fold(sample, iris, 4)

# distribution of folds
tbl <- NULL
for (f in folds) {
 tbl <- rbind(tbl, table(f$Species))
}
head(tbl)

daltoolbox documentation built on Nov. 5, 2025, 7:09 p.m.