These functions are provided for compatibility with older versions of R only, and may be defunct as soon as of the next release.
simulation(formula, data, runs = 10, train = TRUE, k = 11, ...)
A matrix, containing the mean and variance of the misclassification error, the absolute and the squared distances.
A formula object.
Matrix or data frame.
Number of crossvalidation runs.
A logical value. If TRUE the training procedure for selecting optimal values of k and kernel is performed.
Number or maximal number of neighbors considered, dependent of choice for train.
Further arguments passed to or from other methods.
Hechenbichler K. and Schliep K.P. (2004) Weighted k-Nearest-Neighbor Techniques and Ordinal Classification, Discussion Paper 399, SFB 386, Ludwig-Maximilians University Munich (http://www.stat.uni-muenchen.de/sfb386/papers/dsp/paper399.ps)
Defunct
and Deprecated