flower                package: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:

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


     _V_1 winters, is binary and indicates whether the plant may be left
          in the garden when it freezes.

     _V_2 shadow, is binary and shows whether the plant needs to stand in
          the shadow.

     _V_3 tubers, is asymmetric binary and distinguishes between plants
          with tubers and plants that grow in any other way.

     _V_4 color, is nominal and specifies the flower's color (1 = white,
          2 = yellow, 3 = pink, 4 = red, 5 = blue).

     _V_5 soil, is ordinal and indicates whether the plant grows in dry
          (1), normal (2), or wet (3) soil.

     _V_6 preference, is ordinal and gives someone's preference ranking
          going from 1 to 18.

     _V_7 height, is interval scaled, the plant's height in centimeters.

     _V_8 distance, is interval scaled, the distance in centimeters 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))