R/data.R

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

#' Example data set with missing values and multilevel struture
#'
#' 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% level of missigness.
#'
#' @section Fields:
#' \describe{
#' \item{\code{y}:}{Object of class \code{"numeric"}, dependent variable}
#' \item{\code{X}:}{Object of class \code{"numeric"}, independent variable}
#' \item{\code{class}:}{Object of class \code{"Factor"}, class variable}
#' }
"data.example"