Urania Sun wrote:
>
> I have a dataset of 10000 records which I want to use to compare two
> prediction models.
>
> I split the records into test dataset (size = ntest) and training dataset
> (size = ntrain). Then I run the two models.
>
> Now I want to shuffle the data and rerun the models. I want many shuffles.
>
> I know that the following command
>
> sample ((1:10000), ntrain)
>
> can pick ntrain numbers from 1 to 10000. Then I just use these rows as the
> training dataset.
>
> But how can I make sure each run of sample produce different results? I
> want the data output be unique each time.
> I tested sample(). and found it usually produce different combinations.
> But
> can I control it some how? Is there a better way to write this?
>
> Thank you,
>
>
You could have numbers, not picked yet, in a vector, use this vector with
sample and remove picked numbers from it iteratively.
Something like the following (not fully tested)
index<-1:10000
for( blah-blah-blah ) {
train.index<-sample(index,ntrain)
index<-index[!index %in% train.index]
test.index<-sample(index,ntest)
index<-index[!index %in% test.index]
}
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