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:

       [ , 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 centimeters.

     `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))

