summary,flowClust-method      package:flowClust      R Documentation

_S_u_m_m_a_r_y _M_e_t_h_o_d _f_o_r _f_l_o_w_C_l_u_s_t _O_b_j_e_c_t

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

     This method prints out various characteristics of the model fitted
     via robust model-based clustering.

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

     ## S4 method for signature 'flowClust':
     summary(object)

     ## S4 method for signature 'tmixFilterResult':
     summary(object)

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

  object: Object returned from 'flowClust' or from 'filter'.

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

     Various characteristics of the fitted model will be given under
     the following five categories: Experiment Information, Clustering
     Summary, Transformation Parameter, Information Criteria, and Data
     Quality.  Under Data Quality, information about data filtering,
     outliers, and uncertainty is given.

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

     Raphael Gottardo <raph@stat.ubc.ca>, Kenneth Lo <c.lo@stat.ubc.ca>

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

     'flowClust', 'filter', 'show'

