missing_plot: Plot number of missing values by class

In mcubillos3/biokNN: Bi-Objective k-Nearest Neighbors Imputation for Multilevel Data

Description

This function returns a dataframe with a multilevel structure. It generates a dataframe using a varying intercepts/varying slopes linear regression with a single target variable y.

Usage

missing_plot(df, className, varNames)

Arguments

df	dataframe with missing values
className	name of the variable containing classes
varNames	vector with the name of the variables to be imputed

Value

A barplot with the number of missing values by class, by variable

Examples

data(data_example)
missing_plot(data_example, "class", c("y"))

mcubillos3/biokNN documentation built on Dec. 21, 2021, 4:50 p.m.