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)

