readQpcrBatch            package:qpcrNorm            R Documentation

_D_a_t_a _I_n_p_u_t _F_u_n_c_t_i_o_n _f_o_r _a _B_a_t_c_h _o_f _q_P_C_R _E_x_p_e_r_i_m_e_n_t_s.

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

     This function reads in data from multiple qPCR experiments from
     the one batch.  Each text file in the batch must meet the
     structure required by 'readQpcr'. 
      Note: In order to qualify as a batch, it is assumed that the same
     set of primers  are being analyzed in each experiment.

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

     readQpcrBatch(..., filenames = character(), qc = FALSE)

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

     ...: Filenames separated by a comma. 

filenames: Character vector specifying file names. 

      qc: Logical value, TRUE if a QC filter 'ctQc' should be applied
          to the data. 
           If qc = F, the replicate Ct values will be averaged. See
          'ctQc'. 

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

     If the function is called with no arguments 'readQpcrBatch()' all
     the files in the working directory are  read and put into a
     'qpcrBatch' object.  All files must conform to the following
     structure: 
      1st column = names denoting genes or primer pairs 
      2nd column = plate index of each gene or primer pair 
      remaining columns = (replicate) Ct values 
      other annotation fields may be added after the Ct value columns.
     /cr /cr

     Currently fields appearing after the Ct value columns are not
     associated with the output of this function. Note: the majority of
     arguments to readQpcr are identical to those supplied to
     read.table. These have been included to  give the user greater
     control over data input, should the data deviate from a standard
     tab-delimited file structure.  For a set of standard tab-delimited
     text files, specifying the 'filenames' should be sufficient.

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

     A 'qpcrBatch' object.

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

     Jess Mar jess@jimmy.harvard.edu

_S_e_e _A_l_s_o:

     'ctQc', 'readQpcr', 'setwd'

_E_x_a_m_p_l_e_s:

             ## myBatch <- readQpcrBatch()

