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, ...)

Arguments

formula

A formula object.

data

Matrix or data frame.

runs

Number of crossvalidation runs.

train

A logical value. If TRUE the training procedure for selecting optimal values of k and kernel is performed.

k

Number or maximal number of neighbors considered, dependent of choice for train.

...

Further arguments passed to or from other methods.

Value

A matrix, containing the mean and variance of the misclassification error, the absolute and the squared distances.

References

Hechenbichler K. and Schliep K.P. (2004) Weighted k-Nearest-Neighbor Techniques and Ordinal Classification, Discussion Paper 399, SFB 386, Ludwig-Maximilians University Munich (https://doi.org/10.5282/ubm/epub.1769)

See also