ggobi.hierfly           package:clusterfly           R Documentation

_V_i_s_u_a_l_i_s_e _h_i_e_r_a_r_c_h_i_c_a_l _c_l_u_s_t_e_r_i_n_g _w_i_t_h _G_G_o_b_i

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

     Displays both data, and dendrogram in original high-d space

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

     ggobi.hierfly(data, ...)

_A_r_g_u_m_e_n_t_s:

    data: hierfly object to visualise in GGobi

     ...: 

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

     This adds four new variables to the original data set:

        *  ORDER, the order in which the clusters are joined

        *  HEIGHT, the height of the branch, ie. the dissimilarity
           between the branches

        *  LEVEL, the level of the branch

        *  POINTS, the number of points in the branch

     Make sure to select "attach edge set (edges)" in the in the edges
     menu on the plot window, when you create a new plot.

     A tour over the original variables will show how the clusters
     agglomerate in space.        Plotting order vs height, level or
     points will give various types of dendograms.    A correlation
     tour with height/level/points on the y axis and the original
     variables on the x axis will show a mobile blowing in the wind.

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

     Hadley Wickham <h.wickham@gmail.com>

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

     'cut.hierfly'

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

     h <- hierfly(iris)
     ggobi(h)
     h <- hierfly(iris, method="single")

