threestepPLM             package:affyPLM             R Documentation

_T_h_r_e_e _S_t_e_p _e_x_p_r_e_s_s_i_o_n _m_e_a_s_u_r_e_s _r_e_t_u_r_n_e_d _a_s _a _P_L_M_s_e_t

_D_e_s_c_r_i_p_t_i_o_n:

     This function converts an 'AffyBatch' into an 'PLMset' using a
     three step expression measure.

_U_s_a_g_e:

     threestepPLM(object, normalize=TRUE,background=TRUE,background.method="RMA.2",normalize.method="quantile",summary.method="median.polish",background.param = list(),normalize.param=list(),output.param=list(), model.param=list())

_A_r_g_u_m_e_n_t_s:

  object: an 'AffyBatch'

normalize: logical value. If 'TRUE' normalize data using quantile
          normalization

background: logical value. If 'TRUE' background correct using RMA
          background correction

background.method: name of background method to use.

normalize.method: name of normalization method to use.

summary.method: name of summary method to use.

background.param: list of parameters for background correction methods

normalize.param: list of parameters for normalization methods

output.param: list of parameters for output methods

model.param: list of parameters for model methods

_D_e_t_a_i_l_s:

     This function computes the expression measure using threestep
     methods. It returns a 'PLMset'. The most important difference is
     that the PLMset allows you to access the residuals which the
     'threestep' function does not do.

_V_a_l_u_e:

     An 'PLMset'

_A_u_t_h_o_r(_s):

     Ben Bolstad bolstad@stat.berkeley.edu

_R_e_f_e_r_e_n_c_e_s:

     Under preparation

_S_e_e _A_l_s_o:

     'express','expresso', 'rma', 'threestep'

_E_x_a_m_p_l_e_s:

     data(affybatch.example)

     # should be equivalent to rma()
     eset <- threestepPLM(affybatch.example)

