makefolds: Generate random folds for cross-validation

In Directional: A Collection of Functions for Directional Data Analysis

Generate random folds for cross-validation

Description

Random folds for use in a cross validation are generated. There is the option for stratified splitting as well.

Usage

makefolds(ina, nfolds = 10, stratified = TRUE, seed = NULL)

Arguments

ina	A variable indicating the groupings.
nfolds	The number of folds to produce.
stratified	A boolean variable specifying whether stratified random (TRUE) or simple random (FALSE) sampling is to be used when producing the folds.
seed	You can specify your own seed number here or leave it NULL.

Details

I was inspired by the command in the package TunePareto in order to do the stratified version.

Value

A list with nfolds elements where each elements is a fold containing the indices of the data.

Author(s)

Michail Tsagris.

R implementation and documentation: Michail Tsagris [e-mail].

See Also

dirda.cv

Examples

a <- makefolds(iris[, 5], nfolds = 5, stratified = TRUE)
table(iris[a[[1]], 5])  ## 10 values from each group

Directional documentation built on Oct. 12, 2023, 1:07 a.m.