create.multilevel: Generate multilevel dataset

In 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

create.multilevel(
  nClass = 10,
  nVars = 1,
  classMean = 10,
  classSD = 0,
  beta0 = 0,
  tau0 = 1,
  beta = c(1),
  tau = c(1),
  sigma2 = 1
)

Arguments

nClass	number of classes
nVars	number of independent variables (X)
classMean	average number of observations per class
classSD	standard deviation of the number of observations per class
beta0	intercept parameter
tau0	variance of the parameter between classes
beta	vector with the slope parameters, one for each independent variable
tau	vector with the variance of the slope parameters, one for each independent variable
sigma2	error variance

Value

A dataframe with the multilevel dataset

Examples

df <- create.multilevel(nClass = 20,
                          nVars = 1,
                          classMean = 10,
                          classSD = 2)

biokNN documentation built on April 22, 2021, 9:07 a.m.