R2mim                  package:SAGx                  R Documentation

_O_u_t_p_u_t _a _s_c_r_i_p_t _f_i_l_e _t_o _W_i_n_M_I_M

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

     Given a candidate probe, it produces a script file for WinMIM by
     calculating means and covariances and  for the N most highly
     correlated probes (in absolute value). Here N is an input
     parameter, but a recommended value 10. WinMIM can find a relevant
     graphical model for the dependencies between the probes.

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

     R2mim(probe="12345_at", N=10, data=inm, out="u:\\study\\copd\\mimscr.txt")

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

   probe: The name of the candidate probe

       N: The number of highly correlated probes to be studied

    data: The input data set

     out: The MIM script file

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

     The correlation matrix

_N_o_t_e:

     David Edwards' program WinMIM can be found on  StatLib (<URL:
     http://lib.stat.cmu.edu/graphmod/>). In MIM issue 'input
     mimscr.txt' and the calculations to find a model will start. When
     finished go to the Graphics menu and  click on 'Independence
     Graph'. The resulting graph can be exported both to WMF and LaTeX.

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

     Per Broberg

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

     Edwards, David (1995) _Introduction to Graphical Modelling_.
     Springer-Verlag 
      Lauritzen, Steffen (1996) _Graphical Models_. Oxford University
     Press 
      Whittaker, Joe (1990) _Graphical Models in Multivariate
     Analysis_. Wiley

