randomiser {made4} | R Documentation

## Randomly reassign training and test samples

### Description

This function is used to check for bias between a training and test data. It return a new index, which randomly re-assigns samples in the training data to the test dataset and vice versa.

### Usage

    randomiser(ntrain = 77, ntest = 19)

### Arguments

`ntrain` | Numeric. A integer indicating the number of cases in the training dataset
`ntest` | Numeric. A integer indicating the number of cases in the test dataset

### Details

Produces new indices that can be used for training/test datasets

### Value

It returns a list, containing 2 vectors

`train` | A vector of length ntrain, which can be used to index a new training dataset
`test` | A vector of length ntest, which can be used to index a new test dataset

### Author(s)

Aedin Culhane

### Examples

    randomiser(10,5)
    train<-matrix(rnorm(400), ncol=20, nrow=20, dimnames=list(1:20,
    paste("train",letters[1:20], sep=".")))
    test<-matrix(rnorm(200), ncol=10, nrow=20, dimnames=list(1:20,
    paste("test",LETTERS[1:10], sep=".")))
    all<-cbind(train,test)

    colnames(train)
    colnames(test)
    newInd<-randomiser(ntrain=20, ntest=10)

    newtrain<-all[,newInd$train]
    newtest<-all[,newInd$test]

    colnames(newtrain)
    colnames(newtest)

[Package made4 version 1.66.0 Index]