hierarchicalCluster          package:Rcmdr          R Documentation

_R_c_m_d_r _H_i_e_r_a_r_c_h_i_c_a_l _C_l_u_s_t_e_r_i_n_g _D_i_a_l_o_g

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

     This dialog is used to specify a hierarchical cluster analysis 
     solution using 'hclust', with the distance matrix calculated using
     'dist'.

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

     Enter a name for the hierarchical clustering solution to be
     created if you  want to retain more than one solution. The
     solution name must be a valid R  object name (consisting only of
     upper- and lower-case letters, numerials,  and periods, and not
     starting with a number).

     Select the variables to be included in the solution using the
     variable  selection box on the left side of the dialog box. A
     non-contiguous set of  variables can be selected by pressing your
     control key (ctrl) while  selecting variables.

     Specifying a subset expression (the field below the variable
     selection box)  allows you to obtain a clustering solution for a
     subset of observations in  the active data set. For example,
     assuming that gener is a variable in the  active data set,
     entering 'gender == "Male"' would restrict the  solution to males.

     Select a clustering method and a distance measure if you are
     working with  raw data. There is often a relationship between the
     selection of these two  items. For example, squared-euclidian
     distance is appropriate for Ward's  method of cluster analysis. If
     your data _is_ a distance matrix, then  select "No Transformation"
     as the distance measure.

     The "Plot Dendrogram" option results in the dendrogram of the
     solution  being display by using the 'plot' function.

_A_u_t_h_o_r(_s):

     Dan Putler

_S_e_e _A_l_s_o:

     'hclust', 'dist'

