data_example: Example data set with missing values and multilevel struture
In mcubillos3/biokNN: Bi-Objective k-Nearest Neighbors Imputation for Multilevel Data
Description
Usage
Format
Fields
Description
This is a generated dataset containing a class variable, a dependent variable y, and
an independent variable X. The data contains missing values in both y and X, assuming a
Missing Completely at Random (MCAR) pattern and a 30
Usage
1
Format
An object of class data.frame with 100 rows and 3 columns.
Fields
y:Object of class "numeric", dependent variable
X:Object of class "numeric", independent variable
class:Object of class "Factor", class variable
mcubillos3/biokNN documentation built on Dec. 21, 2021, 4:50 p.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 Format Fields
Description
This is a generated dataset containing a class variable, a dependent variable y, and an independent variable X. The data contains missing values in both y and X, assuming a Missing Completely at Random (MCAR) pattern and a 30
Usage
1 |
Format
An object of class data.frame with 100 rows and 3 columns.
Fields
y:Object of class
"numeric", dependent variableX:Object of class
"numeric", independent variableclass:Object of class
"Factor", class variable
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.