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\name{ardeche}
\alias{ardeche}
\docType{data}
\title{Fauna Table with double (row and column) partitioning}
\description{
This data set gives information about species of benthic macroinvertebrates in different sites and dates.
}
\usage{data(ardeche)}
\format{
\code{ardeche} is a list with 6 components.
\describe{
\item{tab}{is a data frame containing fauna table with 43 species (rows) and 35 samples (columns).}
\item{col.blocks}{is a vector containing the repartition of samples for the 6 dates : july 1982, august 1982,
november 1982, february 1983, april 1983 and july 1983.}
\item{row.blocks}{is a vector containing the repartition of species in the 4 groups defining the species order.}
\item{dat.fac}{is a date factor for samples (6 dates).}
\item{sta.fac}{is a site factor for samples (6 sites).}
\item{esp.fac}{is a species order factor (Ephemeroptera, Plecoptera, Coleoptera, Trichoptera).}
}
}
\details{
The columns of the data frame \code{ardeche$tab} define the samples by a number between 1 and 6 (the date)
and a letter between A and F (the site).
}
\source{
Cazes, P., Chessel, D., and Dolédec, S. (1988) L'analyse des correspondances internes d'un tableau partitionné :
son usage en hydrobiologie. \emph{Revue de Statistique Appliquée}, \bold{36}, 39--54.
}
\examples{
data(ardeche)
dudi1 <- dudi.coa(ardeche$tab, scan = FALSE)
s.class(dudi1$co, ardeche$dat.fac)
if(adegraphicsLoaded()) {
s.label(dudi1$co, plab.cex = 0.5, add = TRUE)
} else {
s.label(dudi1$co, clab = 0.5, add.p = TRUE)
}
}
\keyword{datasets}
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