flower

8 characteristics for 18 popular flowers.

datasets

Methods for Cluster analysis.  Much extended the original from
Peter Rousseeuw, Anja Struyf and Mia Hubert,
based on Kaufman and Rousseeuw (1990) "Finding Groups in Data".

Martin Maechler

cluster

"Finding Groups in Data": Cluster Analysis Extended Rousseeuw et
al.

flower function

A data frame with 18 observations on 8 variables:
  <table><tr><td>
    [ , "V1"] </td>
<td> factor  </td>
</tr><tr><td> winters </td>
<td>
    [ , "V2"] </td>
</tr><tr><td> factor  </td>
<td> shadow </td>
</tr><tr><td>
    [ , "V3"] </td>
<td> factor  </td>
</tr><tr><td> tubers </td>
<td>
    [ , "V4"] </td>
</tr><tr><td> factor  </td>
<td> color </td>
</tr><tr><td>
    [ , "V5"] </td>
<td> ordered </td>
</tr><tr><td> soil </td>
<td>
    [ , "V6"] </td>
</tr><tr><td> ordered </td>
<td> preference </td>
</tr><tr><td>
    [ , "V7"] </td>
<td> numeric </td>
</tr><tr><td> height </td>
<td>
    [ , "V1"] </td>
</tr></table> <dl> </dl> 

flower: Flower Characteristics

Description

Usage

Arguments

Format

References

Examples

[ , "V1"]	factor
winters	[ , "V2"]
factor	shadow
[ , "V3"]	factor
tubers	[ , "V4"]
factor	color
[ , "V5"]	ordered
soil	[ , "V6"]
ordered	preference
[ , "V7"]	numeric
height	[ , "V1"]