% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{crime.modal}
\alias{crime.modal}
\title{Crime Demographics Dataset}
\format{
A data frame with 15 observations (gang1--gang15) and 7 numeric
columns representing 3 modal variables in wide format:
\itemize{
    \item \code{Crime(violent)}, \code{Crime(non-violent)}, \code{Crime(none)}:
          Distribution over crime types (3 bins).
    \item \code{Gender(male)}, \code{Gender(female)}:
          Distribution over gender (2 bins).
    \item \code{Age(<20)}, \code{Age(>=20)}:
          Distribution over age groups (2 bins).
}
}
\usage{
data(crime.modal)
}
\description{
Modal-valued dataset of 15 gangs described by probability distributions
over crime type, gender, and age group. This is the wide (flat table)
format; see \code{\link{crime2.modal}} for the modal-valued version.
}
\section{Metadata}{

\tabular{ll}{
  \strong{Sample size (n)} \tab 15 \cr
  \strong{Variables (p)} \tab 7 \cr
  \strong{Subject area} \tab Criminology \cr
  \strong{Symbolic format} \tab Modal \cr
  \strong{Analytical tasks} \tab Clustering, Descriptive statistics
}
}

\examples{
data(crime.modal)
}
\references{
Billard, L. and Diday, E. (2006). \emph{Symbolic Data Analysis}. Wiley.
}
\keyword{datasets}
\keyword{modal}
