ipredknn {ipred}R Documentation

k-Nearest Neighbour Classification

Description

$k$-nearest neighbour classification with an interface compatible to bagging and errorest.

Usage

ipredknn(formula, data, subset, na.action, k=5, ...)

Arguments

formula a formula of the form lhs ~ rhs where lhs is the response variable and rhs a set of predictors.
data optional data frame containing the variables in the model formula.
subset optional vector specifying a subset of observations to be used.
na.action function which indicates what should happen when the data contain NAs.
k number of neighbours considered, defaults to 5.
... additional parameters.

Details

This is a wrapper to knn in order to be able to use k-NN in bagging and errorest.

Value

An object of class ipredknn. See predict.ipredknn.

Author(s)

Torsten.Hothorn <Torsten.Hothorn@rzmail.uni-erlangen.de>

Examples


learn <- as.data.frame(mlbench.twonorm(300))

mypredict.knn <- function(object, newdata) 
                   predict.ipredknn(object, newdata, type="class")

errorest(classes ~., data=learn, model=ipredknn, 
         predict=mypredict.knn)


[Package ipred version 0.8-1 Index]