Description Usage Arguments Details Value Author(s) Examples

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.

1 | ```
randomiser(ntrain = 77, ntest = 19)
``` |

`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 |

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

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 |

Aedin Culhane

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | ```
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)
``` |

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