countries           package:ElemStatLearn           R Documentation

_C_o_u_n_t_r_y _D_i_s_s_i_m_i_l_a_r_i_t_i_e_s

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

     Political science students were asked to give pairwise
     dissimilarities  for 12 countries.

_U_s_a_g_e:

     data(countries)

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

     The format is: num [1:12, 1:12] 0 5.58 7 7.08 4.83 2.17 6.42 3.42
     2.5 6.08 ... - attr(*, "dimnames")=List of 2 ..$ : chr [1:12]
     "BEL" "BRA" "CHI" "CUB" ... ..$ : chr [1:12] "BEL" "BRA" "CHI"
     "CUB" ...

_D_e_t_a_i_l_s:

     These are average dissimilarities over students.

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

     Kaufman, L. and Rousseeuw, P. (1990) Finding Groups in data: An
     Introduction  to Cluster Analysis, Wiley, New York.

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

     str(countries)
     colnames(countries)
     rownames(countries)
     if(require(MASS)){
     # We use multidimensional scaling:
        if(interactive())par(ask=TRUE)
        countries.cmdscale <- cmdscale(countries, k=2, eig=TRUE)
        eqscplot(countries.cmdscale$points)
        countries.sam <- sammon(countries)
        eqscplot(countries.sam$points)
     }

