% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{hierarchy.int}
\alias{hierarchy.int}
\title{Hierarchy Interval Dataset}
\format{
A symbolic data frame (\code{symbolic_tbl}) with 20 observations and 6 variables:
\itemize{
    \item \code{Y}: Response variable range (interval).
    \item \code{X1}: Hierarchy level 1 category (a/b/c, character).
    \item \code{X2}: Hierarchy level 2 category (a1/a2, character; NA for non-a).
    \item \code{X3}: Hierarchy level 3 category (a11/a12, character; NA for non-a1).
    \item \code{X4}: Predictor range for group b (interval; NA for non-b).
    \item \code{X5}: Predictor range for group c (interval; NA for non-c).
}
}
\usage{
data(hierarchy.int)
}
\description{
Interval-valued version of the hierarchy dataset. See \code{\link{hierarchy}}
for the classical version.
}
\section{Metadata}{

\tabular{ll}{
  \strong{Sample size (n)} \tab 20 \cr
  \strong{Variables (p)} \tab 6 \cr
  \strong{Subject area} \tab Methodology \cr
  \strong{Symbolic format} \tab Interval \cr
  \strong{Analytical tasks} \tab Descriptive statistics, Regression
}
}

\examples{
data(hierarchy.int)
}
\references{
Billard, L. and Diday, E. (2006). \emph{Symbolic Data Analysis}. Wiley. Table 2.15.
}
\keyword{datasets}
\keyword{interval}
