my_knn_cv: my_knn_cv function
In eunicezh/STAT302package: Package Building Demonstration
Description
Usage
Arguments
Value
Examples
Description
This function predict output class species using covariates
bill_length_mm, bill_depth_mm, flipper_length_mm, and body_mass_g.
Usage
1
my_knn_cv(k_cv, train, cl, k_nn)
Arguments
k_cv
Integer representing the number of folds.
train
Input data frame.
cl
True class value of your training data.
k_nn
Integer representing the number of neighbors.
Value
a list with objects: class of speciese and CV error
Examples
1
2
train <- na.omit(my_penguins)
my_knn_cv(5, train[,3:6],train[[1]], 1)
eunicezh/STAT302package documentation built on Dec. 20, 2021, 6:43 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value Examples
Description
This function predict output class species using covariates
bill_length_mm, bill_depth_mm, flipper_length_mm, and body_mass_g.
Usage
1 | my_knn_cv(k_cv, train, cl, k_nn)
|
Arguments
k_cv |
Integer representing the number of folds. |
train |
Input data frame. |
cl |
True class value of your training data. |
k_nn |
Integer representing the number of neighbors. |
Value
a list with objects: class of speciese and CV error
Examples
1 2 | train <- na.omit(my_penguins)
my_knn_cv(5, train[,3:6],train[[1]], 1)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.