stat.confband.text          package:marray          R Documentation

_R_a_n_k _g_e_n_e_s _a_c_c_o_r_d_i_n_g _t_o _t_h_e _v_a_l_u_e _o_f _a _s_t_a_t_i_s_t_i_c.

_D_e_s_c_r_i_p_t_i_o_n:

     Select values based on intensities binning.

_U_s_a_g_e:

     stat.confband.text(M, A, crit1=0.025, crit2=crit1, nclass=5)

_A_r_g_u_m_e_n_t_s:

       A: a vector giving the x-coordinates of the points in the
          scatter plot. In the microarray context, this could be a
          vector of average log intensities. ie A

       M: a vector giving the y-coordinates of the points in the
          scatter plot. In the microarray context, this could be a
          vector of log intensity ratios.

   crit1: The number of points to be selected. If crit1 < 1, the
          crit1*100% spots with the smallest M values will be selected.
          If crit1 >= 1, the crit spots  with the smallest M values are
          selected.

   crit2: Similar to "crit1".   If crit2 < 1, the crit2*100% spots with
          the largest M values will be selected. If crit2 >= 1, the
          crit2 spots with the largest M values are selected.

  nclass: A single number giving the approximate number of intensity
          depedent groups to consider.

_V_a_l_u_e:

     A vector of selected spot index.

_S_e_e _A_l_s_o:

     'stat.gnames'

_E_x_a_m_p_l_e_s:

     library(marray)
     data(swirl)
     aveA <- apply(maA(swirl), 1, mean.na)
     aveM <- apply(maM(swirl), 1, mean.na)
     stat.confband.text(aveM, aveA, crit1=20, crit2=50, nclass=5)