ipredknn: k-Nearest Neighbour Classification

In ipred: Improved Predictors

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.

Examples

library("mlbench")
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)

ipred documentation built on Sept. 11, 2024, 7:46 p.m.