K-fold Cross-Validation Data Preparation

This function prepares the data for k-fold cross-validation by dividing the dataset into k folds. It creates subsets of training and testing data for each fold without performing any analysis or fitting models.

Usage

crossv_k(data, y, k = 5, id = ".id")

Arguments

data

A data frame containing the training data.

y

A response vector.

k

An integer specifying the number of folds for cross-validation.

id

A character string specifying the identifier for the output data frame.

Value

A tibble containing the training and testing data, response vectors, and fold IDs for each fold.

Examples

data <- iris[,-5]
y <- iris$Species
result <- crossv_k(data, y, k = 5)