makefolds: Generate random folds for cross-validation

Description Usage Arguments Details Value Author(s) See Also Examples

View source: R/makefolds.R

Description

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

Usage

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

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

A boolean variable. If set to TRUE, the folds will always be the same.

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 mtsagris@uoc.gr

See Also

dirda.cv

Examples

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

Directional documentation built on Nov. 8, 2021, 1:07 a.m.