data_sample: Data Sample

In daltoolbox: Leveraging Experiment Lines to Data Analytics

Data Sample

Description

The data_sample function in R is used to randomly sample data from a given data frame. It can be used to obtain a subset of data for further analysis or modeling.

Two basic specializations of data_sample are sample_random and sample_stratified. They provide random sampling and stratified sampling, respectively.

Data sample provides both training and testing partitioning (train_test) and k-fold partitioning (k_fold) of data.

Usage

data_sample()

Value

returns an object of class data_sample

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. 3, 2024, 9:06 a.m.