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

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 0.9-5, License: GPL (>= 2)

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