estimateLumiCV             package:lumi             R Documentation

_E_s_t_i_m_a_t_e _t_h_e _c_o_e_f_f_i_c_i_e_n_t _o_f _v_a_r_i_a_n_c_e _m_a_t_r_i_x _o_f _L_u_m_i_B_a_t_c_h _o_b_j_e_c_t

_D_e_s_c_r_i_p_t_i_o_n:

     Estimate the coefficient of variance matrix of LumiBatch object
     for each measurement or probe.

_U_s_a_g_e:

     estimateLumiCV(x.lumi, type = c("measurement", "probe"), ifPlot = FALSE, ...)

_A_r_g_u_m_e_n_t_s:

  x.lumi: a LumiBatch object 

    type: estimate the coefficient of variance of each measurement or
          each probe 

  ifPlot: determince whether to plot the density plot or not 

     ...: optional arguments to 'plot'.

_D_e_t_a_i_l_s:

     By default, the coefficient of variance is the ratio of the mean
     and variance of the bead expression values. Basically, it is the
     ration of 'exprs'  and 'se.exprs' element  of 'LumiBatch' object.
     If the type is "probe", it is the ratio of the mean and variance
     of probe expression profile.

_V_a_l_u_e:

     A matrix of coefficient of variance

_A_u_t_h_o_r(_s):

     Pan Du

_S_e_e _A_l_s_o:

     'lumiQ'

_E_x_a_m_p_l_e_s:

     ## load example data
     data(example.lumi)

     ## estimate the coefficient of variance and plot the density plot of it
     cv <- estimateLumiCV(example.lumi, ifPlot = TRUE)

