kfold_cross_validation: kfold_cross_validation

In bbuchsbaum/rMVPA: Multivoxel Pattern Analysis in R

kfold_cross_validation

Description

Construct a cross-validation specification that randomly partitions the input set into nfolds folds.

Usage

kfold_cross_validation(len, nfolds = 10)

Arguments

len	An integer representing the number of observations.
nfolds	An integer specifying the number of cross-validation folds.

Details

This function creates a k-fold cross-validation scheme for cases where data needs to be split into a specified number of folds for evaluation. It returns an object of class "kfold_cross_validation", "cross_validation", and "list".

Value

An object of class "kfold_cross_validation", "cross_validation", and "list" containing the block_var and nfolds.

Examples

cval <- kfold_cross_validation(len=100, nfolds=10)
sample_data <- as.data.frame(matrix(rnorm(100*10), 100, 10))
sample_y <- rep(letters[1:5], 20)
samples <- crossval_samples(cval, data = sample_data, y = sample_y)
stopifnot(nrow(samples) == 10)

bbuchsbaum/rMVPA documentation built on June 10, 2025, 8:23 p.m.