predict.mdr: Calculates MDR Ensemble Classifier

In GeneticTools: Collection of Genetic Data Analysis Tools

Description

This is an mdr ensemble classifier.

Usage

 ## S3 method for class 'mdr'
predict(object, data=NULL, status=NULL, fold=NULL, ...)

Arguments

object	Object of class mdr.
data	The new data object.
status	Optional, used for 2x2 classification table.
fold	Considered dimension of the model.
...	Additional parameters

Details

Given an mdr object this function takes the top list for the (highest) fold group and uses it as an ensemble classifier for the new data given in the data argument.

Value

A vector, giving for each subject from the new data object a classification.

Author(s)

Daniel Fischer

Examples

# indices <- 1:nrow(genotData)
# trainSet <- sample(indices,100)
# testSet <- indices[-trainSet]
# temp <- recodeData(genotData)
# res <- mdr(X=temp[trainSet,], status=status[trainSet], fold=3, top=20)

# trainRes <- predict(res, data=temp[trainSet,])
# testRes <- predict(res, data=temp[testSet,])

GeneticTools documentation built on Jan. 15, 2017, 11:21 a.m.