my_knn_cv: K-Nearest Neighbors Cross-Validation function

In yiqunl2-1863642/Project3Package: Project 3 Package for STAT302

Description

This function performs a knn cross-validation.

Usage

my_knn_cv(train, cl, k_nn, k_cv)

Arguments

train	Data frame input used as the training data.
cl	List of true class values of the training data.
k_nn	Numeric input used as the number of neighbors.
k_cv	Numeric input used as the number of folds.

Value

a list composed of class and cv_err. class is a vector of predicted class of all observations. cv_err is the cross-validation misclassification error.

Examples

train <- rbind(iris3[1:25,,1], iris3[1:25,,2], iris3[1:25,,3])
test <- rbind(iris3[26:50,,1], iris3[26:50,,2], iris3[26:50,,3])
cl <- factor(c(rep("s",25), rep("c",25), rep("v",25)))
my_knn_cv(train, cl, 1, 5)

yiqunl2-1863642/Project3Package documentation built on Dec. 23, 2021, 8:11 p.m.