mdrEnsemble: Ensemble Classification Using an Existing MDR Object
In GenomicTools: Collection of Tools for Genomic Data Analysis

Description Usage Arguments Details Value Author(s) Examples

This function takes an existing MDR object and a set of new observations and classifies them according to the best n sets of MDR classifiers.

1	mdrEnsemble(mdr, data=NULL, new.status=NULL, fold=NULL)

`mdr`	The MDR object.
`data`	The new data.
`new.status`	Optional, the true status of the new data.
`fold`	Level of SNP-SNP interaction.

This function takes an exisitng MDR object and a set of new observations and classifies them then using the top results of it, as it was defined in the previous MDR run.

A classification of the new observations.

Daniel Fischer

## Not run: 
data(mdrExample)
mdrSNP.train <- mdrExample[1:350,1:20]
mdrSNP.test <- mdrExample[351:400,1:20]
fit.mdr <- mdr(mdrSNP.train, mdrExample$Class[1:350], fold=2, top=20)
ensResult <- mdrEnsemble(fit.mdr, data = mdrSNP.test)

## End(Not run)