

flower(cluster)                              R Documentation

_F_l_o_w_e_r _C_h_a_r_a_c_t_e_r_i_s_t_i_c_s

_D_e_s_c_r_i_p_t_i_o_n_:

     8 characteristics for 18 popular flowers.

_U_s_a_g_e_:

     data(flower)

_F_o_r_m_a_t_:

     A data frame with 18 observations on 8 variables:

      [ , 1]     factor      winters
      [ , 2]     factor      shadow
      [ , 3]     factor      tubers
      [ , 4]     factor      color
      [ , 5]     ordered     soil
      [ , 6]     ordered     preference
      [ , 7]     numeric     height
      [ , 8]     numeric     distance

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

     `shadow' is binary and shows whether the plant needs to
     stand in the shadow.

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

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

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

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

     `height' is interval scaled, the plant's height in cen-
     timeters.

     `distance' is interval scaled, the distance in centime-
     ters that should be left between the plants.

_S_o_u_r_c_e_:

     The reference below.

_R_e_f_e_r_e_n_c_e_s_:

     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/>

_E_x_a_m_p_l_e_s_:

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

