Zfreq                  package:SAGx                  R Documentation

_B_a_y_e_s_i_a_n _a_n_a_l_y_s_i_s _o_f _a _C_o_m_p_a_r_a_t_i_v_e _e_x_p_e_r_i_m_e_n_t _w_i_t_h _t_w_o _g_r_o_u_p_s

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

     The posterior probabilty of being differentially expressed is
     calculated as a  function of the statistic Z from etgc1. A graph
     is output to the default, and a dataframe with the probailities

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

     ut<-cbind(probes,Zfreq(z,Z,B=50))

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

       z: the simulated null distribution from etgc2

       Z: the the statistic output from etgc1

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

     A dataframe with the columns PROBE, and P, a Bayesian a-posteriori
     probability of being expressed

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

     Per Broberg

