qplot                package:webbioc                R Documentation

_P_l_o_t _q-_v_a_l_u_e _R_e_s_u_l_t _D_i_a_g_n_o_s_t_i_c_s

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

     Plots diagnostic graphs for the qvalue function.

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

     qplot(qobj, rng=0.1)

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

    qobj: a q-value object returned by the qvalue function

     rng: the range of q-values to be plotted

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

     Four plots: 

Upper-left: pi0.hat(lambda) versus lambda with a smoother

Upper-right: q-values versus p-values

Lower-left: number of significant tests per each q-value cut-off

Lower-right: number of expected false positives versus number of
          significant tests

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

     John D. Storey <URL: http://faculty.washington.edu/~jstorey/>

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

     Storey JD. (2002) A direct approach to false discovery rates.
     _Journal of the Royal Statistical Society_, Series B, 64: 479-498.

