histBeadCounts           package:beadarray           R Documentation

_P_l_o_t _n_u_m_b_e_r_s _o_f _e_a_c_h _b_e_a_d

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

     Function to plot on a histogram the numbers of each bead type
     found on an array.

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

     histBeadCounts(BLData, array, main = NULL)

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

  BLData: BeadLevelList object

   array: numeric value giving the array we want to plot for

    main: specify a title for the plot

     $

_D_e_t_a_i_l_s:

     It is known that the number of each bead type to be found on an
     array follows a Poisson distribution with a mean of around 30.
     This plot helps us to see how well this assumption is met. If too
     many bead types have less than 30 beads it might indicate a
     problem with the array and compromise the  robustness of the
     experiment.

     We show a Poisson distribution with mean ~50,000 / 1500 on top of
     the histogram so it can be seen how different the numbers of beads
     we observe is to how many we expect to see.

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

     Histogram is plotted.

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

     Mark Dunning

_E_x_a_m_p_l_e_s:

     data(BLData)

     histBeadCounts(BLData, 1)

