my_knn_cv: k-Nearest Neighbors Cross-Validation

In hchang23/firstpackage: Package Demo

Description

This function randomly splits data into k "folds" and predicts class using covariates.

Usage

my_knn_cv(train, cl, k_nn, k_cv)

Arguments

train	A data frame of the covariates (elements are numeric).
cl	True class value of the training data.
k_nn	Integer of the number of neighbors.
k_cv	Integer of the number of folds.

Value

A list containing:

class, a vector of the predicted class.

CV_error, a numeric of the average cross-validation misclassification error rate.

Examples

data(iris)

# 5-nearest neighbor CV with iris data
my_knn_cv(iris[, 1:4], iris$Species, k_nn = 5, k_cv = 5)

hchang23/firstpackage documentation built on March 18, 2020, 7:37 a.m.