flower                package:cluster                R Documentation

Flower Characteristics

Description:

     8 characteristics for 18 popular flowers.

Usage:

     data(flower)

Format:

     A data frame with 18 observations on 8 variables:

       [ , "V1"]  factor   winters
       [ , "V2"]  factor   shadow
       [ , "V3"]  factor   tubers
       [ , "V4"]  factor   color
       [ , "V5"]  ordered  soil
       [ , "V6"]  ordered  preference
       [ , "V7"]  numeric  height
       [ , "V8"]  numeric  distance


     V1 winters, is binary and indicates whether the plant may be left
          in the garden when it freezes.

     V2 shadow, is binary and shows whether the plant needs to stand in
          the shadow.

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

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

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

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

     V7 height, is interval scaled, the plant's height in centimeters.

     V8 distance, is interval scaled, the distance in centimeters that
          should be left between the plants.

Source:

     The reference below.

References:

     Anja Struyf, Mia Hubert & Peter J. Rousseeuw (1996): Clustering in
     an Object-Oriented Environment. _Journal of Statistical Software_,
     *1*. <URL: http://www.stat.ucla.edu/journals/jss/>

Examples:

     data(flower)
     ## Example 2 in ref
     daisy(flower, type = list(asymm = 3))
     daisy(flower, type = list(asymm = c(1, 3), ordratio = 7))

