% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{genome_abundances.int}
\alias{genome_abundances.int}
\title{Genome Dinucleotide Abundance Intervals}
\format{
A symbolic data frame (\code{symbolic_tbl}) with 14 observations
(genome classes) and 11 variables:
\itemize{
    \item \code{CG}: Interval-valued CG dinucleotide relative abundance.
    \item \code{GC}: Interval-valued GC dinucleotide relative abundance.
    \item \code{TA}: Interval-valued TA dinucleotide relative abundance.
    \item \code{AT}: Interval-valued AT dinucleotide relative abundance.
    \item \code{CC}: Interval-valued CC dinucleotide relative abundance.
    \item \code{AA}: Interval-valued AA dinucleotide relative abundance.
    \item \code{AC}: Interval-valued AC dinucleotide relative abundance.
    \item \code{AG}: Interval-valued AG dinucleotide relative abundance.
    \item \code{CA}: Interval-valued CA dinucleotide relative abundance.
    \item \code{GA}: Interval-valued GA dinucleotide relative abundance.
    \item \code{n}: Number of genomes in the class (integer).
}
Row names are Class_1 through Class_14.
}
\source{
Billard, L. and Diday, E. (2020), Table 3-16.
}
\usage{
data(genome_abundances.int)
}
\description{
Interval-valued dataset of dinucleotide relative abundances for 14 genome
classes. Each class aggregates multiple genomes; the intervals represent
the range of observed abundance values within each class for 10 dinucleotide
pairs, plus a count variable.
}
\section{Metadata}{

\tabular{ll}{
  \strong{Sample size (n)} \tab 14 \cr
  \strong{Variables (p)} \tab 11 \cr
  \strong{Subject area} \tab Genomics \cr
  \strong{Symbolic format} \tab Interval \cr
  \strong{Analytical tasks} \tab Clustering, Descriptive statistics
}
}

\examples{
data(genome_abundances.int)
}
\references{
Billard, L. and Diday, E. (2020). \emph{Clustering Methodology for
Symbolic Data}. Wiley, Chichester. Table 3-16.
}
\keyword{datasets}
\keyword{genomics}
\keyword{interval}
