assessSD              package:affycomp              R Documentation

_S_D _A_s_s_e_s_s_m_e_n_t _f_u_n_c_t_i_o_n_s

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

     Assessment function for standard deviation estimates. Takes a
     dilution data 'ExpressionSet-class' and returns a list with
     necessary information to create assessment plot.

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

     assessSD(exprset,method.name=NULL,logx=FALSE)

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

 exprset: An 'ExpressionSet-class' containing expression measures for
          Affymetrix's spike-in experiment.

method.name: Name of expression measure being assessed.

    logx: Logical. If 'TRUE' expression is logged for plot. See
          details.

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

     'assessSD' does the assessment for Figure 7. This requires the
     'ExpressionSet' to have standard error estimates for the
     expression measure. Some expression (such as dChip) will have SEs
     for the original scale. Others, like RMA will have them for the
     log scale. For original scales, making 'logx=TRUE' is recommended.

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

     Lists with the necessary information to make the Figures.

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

     Rafael A. Irizarry

