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ipredknn

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

Improved Predictors

v0.9-11
GPL (>= 2)
Authors
Andrea Peters [aut], Torsten Hothorn [aut, cre], Brian D. Ripley [ctb], Terry Therneau [ctb], Beth Atkinson [ctb]
Initial release
2021-03-12

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