\HeaderA{farms}{Ecological Factors in Farm Management}{farms}
\keyword{datasets}{farms}
\begin{Description}\relax
The \code{farms} data frame has 20 rows and 4 columns. The rows are farms
on the Dutch island of Terschelling and the columns are factors
describing the management of grassland.
\end{Description}
\begin{Usage}
\begin{verbatim}
farms
\end{verbatim}
\end{Usage}
\begin{Format}\relax
This data frame contains the following columns:
\describe{
\item[\code{Mois}] Five levels of soil moisture -- level 3 does not occur at these 20 farms.

\item[\code{Manag}] Grassland management type (\code{SF} = standard,
\code{BF} = biological, \code{HF} = hobby farming,
\code{NM} = nature conservation).

\item[\code{Use}] Grassland use (\code{U1} = hay production, \code{U2} =
intermediate, \code{U3} = grazing).

\item[\code{Manure}] Manure usage -- classes \code{C0} to \code{C4}.

}
\end{Format}
\begin{Source}\relax
J.C. Gower and D.J. Hand (1996) \emph{Biplots}. Chapman \& Hall, Table 4.6.

Quoted as from:\\
R.H.G. Jongman, C.J.F. ter Braak and O.F.R. van Tongeren (1987)
\emph{Data Analysis in Community and Landscape Ecology.}
PUDOC, Wageningen.
\end{Source}
\begin{References}\relax
Venables, W. N. and Ripley, B. D. (2002)
\emph{Modern Applied Statistics with S.} Fourth edition.  Springer.
\end{References}
\begin{Examples}
\begin{ExampleCode}
farms.mca <- mca(farms, abbrev = TRUE)  # Use levels as names
eqscplot(farms.mca$cs, type = "n")
text(farms.mca$rs, cex = 0.7)
text(farms.mca$cs, labels = dimnames(farms.mca$cs)[[1]], cex = 0.7)
\end{ExampleCode}
\end{Examples}

