Dear,

Thanks for the warmful help on New Year's EVE.

Cross-validation is used to validate the predictive quality of the training
data with testing data.

As for the amount,
the cross-validation (cv) is supposed to be based on k-fold
cross-validation,
k-1 for the training and 1 for  the testing.

The cross-validation will be repeated for k times.

Is it the same with the function inside caret, ipred, and e1071 package?

Elaine

On Fri, Jan 1, 2010 at 4:02 AM, Max Kuhn <mxkuhn@gmail.com> wrote:

> You might want to be more specific about what you (exactly) intend to do.
> Reading the posting guide might help you get better answers.
>
> There are a few packages and functions to do what (I think) you desire.
> There is the train function in the caret package, the errorest function in
> ipred and a few in e1071.
>
> Max
>
>
>
>
> On Dec 31, 2009, at 12:13 AM, elaine kuo <elaine.kuo.tw@gmail.com> wrote:
>
>   Dear,
>>
>> I wanna make cross-validation for the species data of species distribution
>> models.
>> Please kindly suggest any package containing cross validation suiting the
>> purpose.
>>
>> Thank you.
>>
>> Elaine
>>
>>   [[alternative HTML version deleted]]
>>
>>
>> ______________________________________________
>> R-help@r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html<http://www.r-project.org/posting-guide.html>
>> and provide commented, minimal, self-contained, reproducible code.
>>
>

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