FinalImpute             package:BNArray             R Documentation

_I_m_p_u_t_e _m_i_s_s_i_n_g _v_a_l_u_e

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

     Impute missing values to specific value for too bad data.

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

     FinalImpute(ori.compact)

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

ori.compact: A matrix object with imputed data. 

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

     At some rare cases, LLSimpute could not impute the missing data of
     a gene due to too many values  miss in its expression vector. For
     ensuring a complete database, we should impute the 'NA' values  to
     some predifined value. In current version of FinalImpute, we set
     the value zero, which means we could not detect the expression
     level of a gene in some experiment.

_V_a_l_u_e:

     A matrix object is returned with imputed data. This object is a
     complete database for constructing Bayesian networks.

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

     Xiaohui Chen cxh1984@interchange.ubc.ca, 
      Kaida Ning aprilnkd@hotmail.com, 
      Ming Chen mchen@zju.edu.cn.

_R_e_f_e_r_e_n_c_e_s:

     Further information about *BNArray* can be found at:
      <URL: http://www.cls.zju.edu.cn/binfo/BNArray>.

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

     'LLSimpute'

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

                     ##see example in BootstrapBN

