Splits a given matrix Y into k-folds. This function keeps the dimensions of the original Y in both train and test and substitutes the values in both split by NAs
Usage
kfold_cv_points(Y, folds = 3, seed = NULL)
Arguments
- Y
\((N \times P)\) matrix of predictive variables.
- folds
Integer number indicating number of folds.
- seed
Seed for the random generator number.
Value
A list containing two inside lists, one for training and one for testing. The length of the inside lists is equal to the number of folds
