ipredknn

0th

Percentile

k-Nearest Neighbour Classification

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

Keywords
multivariate
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.

Aliases
  • ipredknn
Examples
# NOT RUN {
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)


# }
Documentation reproduced from package ipred, version 0.9-9, License: GPL (>= 2)

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