\Header{flower}{Flower Characteristics}
\keyword{datasets}{flower}
\begin{Description}\relax
8 characteristics for 18 popular flowers.
\end{Description}
\begin{Usage}
\begin{verbatim}data(flower)\end{verbatim}
\end{Usage}
\begin{Format}\relax
A data frame with 18 observations on 8 variables:
\Tabular{rll}{
[ , "V1"] & factor  & winters \\{}
[ , "V2"] & factor  & shadow \\{}
[ , "V3"] & factor  & tubers \\{}
[ , "V4"] & factor  & color \\{}
[ , "V5"] & ordered & soil \\{}
[ , "V6"] & ordered & preference \\{}
[ , "V7"] & numeric & height \\{}
[ , "V8"] & numeric & distance
}

\describe{
\item[V1] winters, is binary and indicates whether the plant may be left
in the garden when it freezes.

\item[V2] shadow, is binary and shows whether the plant needs to stand
in the shadow.

\item[V3] tubers, is asymmetric binary and distinguishes between plants
with tubers and plants that grow in any other way.

\item[V4] color, is nominal and specifies the flower's color (1 = white,
2 = yellow, 3 = pink, 4 = red, 5 = blue).

\item[V5] soil, is ordinal and indicates whether the plant grows in dry
(1), normal (2), or wet (3) soil.

\item[V6] preference, is ordinal and gives someone's preference ranking
going from 1 to 18.

\item[V7] height, is interval scaled, the plant's height in centimeters.

\item[V8] distance, is interval scaled, the distance in centimeters that
should be left between the plants.
}
\end{Format}
\begin{Source}\relax
The reference below.
\end{Source}
\begin{References}\relax
Anja Struyf, Mia Hubert \& Peter J. Rousseeuw (1996):
Clustering in an Object-Oriented Environment.
\emph{Journal of Statistical Software}, \bold{1}.
\url{http://www.stat.ucla.edu/journals/jss/}
\end{References}
\begin{Examples}
\begin{ExampleCode}
data(flower)
## Example 2 in ref
daisy(flower, type = list(asymm = 3))
daisy(flower, type = list(asymm = c(1, 3), ordratio = 7))
\end{ExampleCode}
\end{Examples}

