cvseg {pcaMethods} | R Documentation

## Get CV segments

### Description

Get cross-validation segments that have (as far as possible) the same ratio of all classes (if classes are present)

### Usage

    cvseg(x, fold = 7, seed = NULL)

### Arguments

`x` | a factor, character or numeric vector that describes class membership of a set of items, or, a numeric vector indicating unique indices of items, or, a numeric of length 1 that describes the number of items to segment (without any classes)
`fold` | the desired number of segments
`seed` | randomization seed for reproducibility

### Value

a list where each element is a set of indices that defines the CV segment.

### Author(s)

Henning Redestig

### See Also

the `cvsegments` function in the `pls` package

### Examples

    seg <- cvseg(iris$Species, 10)
    sapply(seg, function(s) table(iris$Species[s]))
    cvseg(20, 10)

[Package pcaMethods version 1.82.0 Index]