mona.object             package:cluster             R Documentation

_M_o_n_o_t_h_e_t_i_c _A_n_a_l_y_s_i_s (_M_O_N_A) _O_b_j_e_c_t

_D_e_s_c_r_i_p_t_i_o_n:

     The objects of class '"mona"' represent the divisive hierarchical
     clustering of a dataset with only binary variables (measurements).
       This class of objects is returned from 'mona'.

_V_a_l_u_e:

     A legitimate 'mona' object is a list with the following
     components:

    data: matrix with the same dimensions as the original data matrix,
          but with factors coded as 0 and 1, and all missing values
          replaced. 

   order: a vector giving a permutation of the original observations to
          allow for plotting, in the sense that the branches of a
          clustering tree will not cross. 

order.lab: a vector similar to 'order', but containing observation
          labels instead of observation numbers. This component is only
          available if the original observations were labelled. 

variable: vector of length n-1 where n is the number of observations,
          specifying the variables used to separate the observations of
          'order'. 

    step: vector of length n-1 where n is the number of observations,
          specifying the separation steps at which the observations of
          'order' are separated. 

_M_E_T_H_O_D_S:

     The '"mona"' class has methods for the following generic
     functions: 'print', 'summary', 'plot'.

_S_e_e _A_l_s_o:

     'mona' for examples etc, 'plot.mona'.