predict.knncat: Prediict on a knncat classifier

In knncat: Nearest-neighbor Classification with Categorical Variables

Description

Produce predictions for a knncat classifier

Usage

## S3 method for class 'knncat'
predict(object, train, newdata, 
train.classcol=1, newdata.classcol=1, return.classes=TRUE,
more=FALSE, verbose = 0, ...)

Arguments

object	Knncat object, from knncat
train	Training set used to build classifier
newdata	New data on which to make predictions
train.classcol	Column number for classification in training set. Default: 1
newdata.classcol	Column number for classification in newdata set. Default: 1. If <= 0, new data has no classifications.
return.classes	Logical; if TRUE, return a vector of classifications of the newdata set. Default: TRUE
more	Logical; if TRUE, also print error rate. Default: FALSE
verbose	Level of verbosity for debugging. Default: 0
...	Other arguments, currently ignored

Details

This prints the misclassification rate from the knncat classifier, together with an indication as to whether it was based on a training or test set.

Value

None.

Author(s)

Samuel E. Buttrey, [e-mail]

knncat documentation built on May 2, 2019, 6:35 a.m.