predict.kdwd: predict method for DWD object
In DWD: DWD implementation based on A IPM SOCP solver

Description Usage Arguments Value Author(s) Examples

Prediction of test data using distance weighted discrimination

1 2	## S4 method for signature 'kdwd' predict(object, newdata)

`object`	an S4 object of class `kdwd` created by the `kdwd` function
`newdata`	a data frame or matrix containing new data

predicted classes.

Hanwen Huang: hanwenh@email.unc.edu; Perry Haaland: Perry_Haaland@bd.com; Xiaosun Lu: Xiaosun_Lu@bd.com; Frances Tong: Frances_Tong@bd.com; Elaine McVey: Elaine_McVey@bd.com; Yufeng Liu: yfliu@email.unc.edu; J. S. Marron: marron@email.unc.edu

## example using the promotergene data set
data(promotergene)

## create test and training set
ind <- sample(1:dim(promotergene)[1],20)
genetrain <- promotergene[-ind, ]
genetest <- promotergene[ind, ]

## train a distance weighted discrimination
gene <- kdwd(Class~.,data=genetrain,C=100,cross=5,scaled=TRUE)
gene@fitted

## predict gene type on the test set
genetype <- predict(gene,genetest)
genetype