% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{world_cup.int}
\alias{world_cup.int}
\title{World Cup Soccer Teams Interval Dataset}
\format{
A data frame with 2 observations and 8 variables:
\itemize{
    \item \code{world_cup}: Qualification status (yes/no, character).
    \item \code{age_l}, \code{age_u}: Player age range (years).
    \item \code{weight_l}, \code{weight_u}: Player weight range (kg).
    \item \code{height_l}, \code{height_u}: Player height range (meters).
    \item \code{cov_weight_height}: Covariance between weight and height (numeric).
}
}
\usage{
data(world_cup.int)
}
\description{
Interval-valued data for soccer teams grouped by World Cup qualification
status (yes/no). Includes age, weight, height ranges and the covariance
between weight and height.
}
\section{Metadata}{

\tabular{ll}{
  \strong{Sample size (n)} \tab 2 \cr
  \strong{Variables (p)} \tab 8 \cr
  \strong{Subject area} \tab Sports \cr
  \strong{Symbolic format} \tab Interval \cr
  \strong{Analytical tasks} \tab Descriptive statistics
}
}

\examples{
data(world_cup.int)
}
\references{
Diday, E. and Noirhomme-Fraiture, M. (Eds.) (2008). \emph{Symbolic Data
Analysis and the SODAS Software}. Wiley. Table 1.9, p.13.
}
\keyword{datasets}
\keyword{interval}
