my_knn_cv: K-nearest neighbors cross-validation
In johnbdonovan/myFirstPackage: Package for STAT 302

Description Usage Arguments Value Examples

View source: R/my_knn_cv.R

This function creates a knn model as well as calculating cross-validation and training errors

1	my_knn_cv(train, cl, k_nn, k_cv)

`train`	Data set to train model on.
`cl`	Vector of values for the true class.
`k_nn`	Numeric representing the number of neighbors to base model on.
`k_cv`	The number of folds to be used in the model.

List containg vector of predicted classes, and numerics of the cross-validation and training errors.

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my_knn_cv(cbind(my_gapminder$gdpPercap, my_gapminder$lifeExp),
          my_gapminder$continent, 10, 5)
my_knn_cv(my_iris[, -5], my_iris$Species, 2, 5)