arrplot1               package:LMGene               R Documentation

_F_u_n_c_t_i_o_n _t_o _c_a_l_c_u_l_a_t_e _r_e_l_a_t_i_v_e _m_e_a_n _s_q_u_a_r_e_s

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

     Calculate relative mean squares of all considered factors for all
     genes.  The obtained relative mean square values are used for
     plotting the smoothed histogram and the cumulative frequency
     distributioin.

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

     arrplot1(eS)

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

      eS: Array data. must be a exprSet type 

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

     The input argument, eS, must be exprSet type from Biobase package.
      If you have a matrix data and information about the considered
     factors, then you can use 'neweS' to conver the data into exprSet.
     Please see 'neweS' in more detail.

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

 resmat : Matrix containing the relative mean square values of all
          factors considered including Error for all genes

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

     David Rocke and Geun-Cheol Lee

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

     <URL: http://www.idav.ucdavis.edu/~dmrocke/>

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

     'arrplotd', 'arrplote', 'mlm2lm', 'msa'

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

     #library
     library(Biobase)
     library(LMGene)

     #data
     data(Smpd0)

     #
     RMS<-arrplot1(Smpd0)
     RMS[,1:5]

