crossv_k | R Documentation |
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.
crossv_k(data, y, k = 5, id = ".id")
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. |
A tibble containing the training and testing data, response vectors, and fold IDs for each fold.
data <- iris[,-5]
y <- iris$Species
result <- crossv_k(data, y, k = 5)
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