ipredknn {ipred} | R Documentation |
$k$-nearest neighbour classification with an interface compatible to
bagging
and errorest
.
ipredknn(formula, data, subset, na.action, k=5, ...)
formula |
a formula of the form |
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 |
k |
number of neighbours considered, defaults to 5. |
... |
additional parameters. |
This is a wrapper to knn
in order to be able to
use k-NN in bagging
and errorest
.
An object of class ipredknn
. See predict.ipredknn
.
Torsten.Hothorn <Torsten.Hothorn@rzmail.uni-erlangen.de>
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)