arrayWeightsQuick           package:limma           R Documentation

_A_r_r_a_y _Q_u_a_l_i_t_y _W_e_i_g_h_t_s

_D_e_s_c_r_i_p_t_i_o_n:

     Estimates relative quality weights for each array in a multi-array
     experiment with replication.

_U_s_a_g_e:

     arrayWeightsQuick(y, fit)

_A_r_g_u_m_e_n_t_s:

       y: the data object used to estimate 'fit'. Can be of any class
          which can be coerced to matrix, including 'matrix', 'MAList',
          'marrayNorm' or 'ExpressionSet'.

     fit: 'MArrayLM' fitted model object

_D_e_t_a_i_l_s:

     Estimates the relative reliability of each array by measuring how
     well the expression values for that array follow the linear model.

     This is a quick and dirty version of 'arrayWeights'.

_V_a_l_u_e:

     Numeric vector of weights of length 'ncol(fit)'.

_A_u_t_h_o_r(_s):

     Gordon Smyth

_R_e_f_e_r_e_n_c_e_s:

     Ritchie, M. E., Diyagama, D., Neilson, van Laar, R., J., Dobrovic,
     A., Holloway, A., and Smyth, G. K. (2006). Empirical array quality
     weights for microarray data. BMC Bioinformatics. (Accepted 11
     April 2006)

_S_e_e _A_l_s_o:

     See arrayWeights. An overview of LIMMA functions for reading data
     is given in 03.ReadingData.

_E_x_a_m_p_l_e_s:

     ## Not run: 
     fit <- lmFit(y, design)
     arrayWeightsQuick(y, fit)
     ## End(Not run)

