clusterfly            package:clusterfly            R Documentation

_C_l_u_s_t_e_f_l_y

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

     This method creates a convenient data structure for dealing with a
     dataset and a number of alternative clusterings.

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

     clusterfly(df, rescale=TRUE)

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

      df: data frame to be clustered

 rescale: rescale, if true each variable will be scaled to have mean 0
          and variance 1.

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

     Once you have created a clusterfly object, you can add clusterings
     to it with 'cfly_cluster', and visualise then in GGobi with
     'cfly_show' and 'cfly_animate'.      Static graphics are also
     available: 'cfly_pcp' will produce a parallel coordinates plot,
     'cfly_dist' will show the distribution of each variable in each
     cluster, and 'cfly_fluct' compares two clusterings with a
     fluctuation diagram.

     If you want to standardise the cluster labelling to one group,
     look at 'clarify' and 'cfly_clarify'

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

     Hadley Wickham <h.wickham@gmail.com>

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

     vignette("introduction")

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

