hist-methods              package:DEDS              R Documentation

_H_i_s_t_o_g_r_a_m _f_o_r _D_E_D_S _O_b_j_e_c_t_s

_D_e_s_c_r_i_p_t_i_o_n:

     The function 'hist.DEDS' produces histograms of unadjusted
     p-values for 'DEDS-class' objects.

_U_s_a_g_e:

     ## S3 method for class 'DEDS':
     hist(x, subset=c(1:nrow(x$stats)), ...)

_A_r_g_u_m_e_n_t_s:

       x: An object of 'DEDS', produced by 'deds.pval'.

  subset: A numeric vector indicating the subset of points to be
          plotted.

     ...: Further graphical parameters, for example, '"col"',
          '"border"', '"main"', '"nclass"'.

_D_e_t_a_i_l_s:

     The function 'hist.DEDS' implements a S3 method of 'hist' for
     'DEDS'. The 'DEDS' class is a simple list-based class to store
     DEDS results and 'hist.DEDS' is used for a DEDS object that is
     created  by the function 'deds.pval'. The list contains a "stat"
     component, which stores unadjusted p-values from various
     statistical models. The function 'hist.DEDS' extracts the "stat"
     component and produces a histgram of the unadjusted p-values for
     each model.

     For DEDS objects that are created by functions 'deds.stat' and
     'deds.stat.linkC', the "stat" matrix consists of different types
     of statistics. For graphical dispaly of these statistics, the user
     can use 'qqnorm.DEDS' and 'pairs.DEDS'.

_A_u_t_h_o_r(_s):

     Yuanyuan Xiao, yxiao@itsa.ucsf.edu, 
      Jean Yee Hwa Yang, jean@biostat.ucsf.edu.

_S_e_e _A_l_s_o:

     'deds.stat', 'deds.pval', 'deds.stat.linkC', 'pairs.DEDS',
     'qqnorm.DEDS'

_E_x_a_m_p_l_e_s:

