\HeaderA{painters}{The Painter's Data of de Piles}{painters}
\keyword{datasets}{painters}
\begin{Description}\relax
The subjective assessment, on a 0 to 20 integer scale, of 54
classical painters.  The painters were assessed on four characteristics:
composition, drawing, colour and expression.  The data is due to the
Eighteenth century art critic, de Piles.
\end{Description}
\begin{Usage}
\begin{verbatim}
painters
\end{verbatim}
\end{Usage}
\begin{Format}\relax
The row names of the data frame are the painters. The components are:
\describe{
\item[\code{Composition}] Composition score.

\item[\code{Drawing}] Drawing score.

\item[\code{Colour}] Colour score.

\item[\code{Expression}] Expression score.

\item[\code{School}] The school to which a painter belongs, as indicated by a factor level
code as follows:
\code{"A"}: Renaissance;
\code{"B"}: Mannerist;
\code{"C"}: Seicento;
\code{"D"}: Venetian;
\code{"E"}: Lombard;
\code{"F"}: Sixteenth Century;
\code{"G"}: Seventeenth Century;
\code{"H"}: French.

}
\end{Format}
\begin{Source}\relax
A. J. Weekes (1986)
\emph{A Genstat Primer.} Edward Arnold.

M. Davenport and G. Studdert-Kennedy (1972) The statistical
analysis of aesthetic judgement: an exploration.
\emph{Applied Statistics} \bold{21},  324--333.

I. T. Jolliffe (1986)
\emph{Principal Component Analysis.} Springer.
\end{Source}
\begin{References}\relax
Venables, W. N. and Ripley, B. D. (2002)
\emph{Modern Applied Statistics with S.} Fourth edition.  Springer.
\end{References}

