my_knn_cv: K-nearest neighbors cross-validation function

In chen1649/mypackage: What the Package Does (One Line, Title Case)

Description

This function predicts output class using covariates.

Usage

my_knn_cv(train, cl, k_nn, k_cv)

Arguments

train	Dataframe to be inputted
cl	Class value of training data
k_nn	Integer represemmting number of neighbors
k_cv	Integer representing the number of folds

Value

a list with objects class and cv_err. Class is a vector of predicted class. CV_err is a numeric with cross-validation misclassification error

Examples

penguins <- mypackage::my_penguins
data <- penguins %>% tidyr::drop_na()
train <- data[3:6]
cl <- data$species
my_knn_cv(train, cl, 1, 5)

chen1649/mypackage documentation built on Dec. 19, 2021, 3:03 p.m.