conditionUpdate           package:designGG           R Documentation

_U_p_d_a_t_e _c_o_n_d_i_t_i_o_n _a_l_l_o_c_a_t_i_o_n

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

     Update the allocation of samples onto different conditions. This
     is a subfunction needed for 'updateDesign', but is not directly
     used.

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

         conditionUpdate( condition.allocation, nTuple )

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

condition.allocation: a matrix with nCondition rows and nRIL columns.
          elements of 1/0 indicate this RIL (or strain) is/not selected
           for this condition.  

  nTuple: average number of RILs (or strains) to be assigned onto each
          condition 
           'nTuple' should be a real number which is larger than 1.
           if 'nTuple' < 1, the algorithm will stop and show the
          message, 
           'warning: "The number slides is too less to perform the
          experiment."' 

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

     This function will be used both in single and dual channel
     experiment  design.

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

     An updated 'condition.allocation' table.

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

     Yang Li <yang.li@rug.nl>, Gonzalo Vera
     <gonzalo.vera.rodriguez@gmail.com> 
      Rainer Breitling <r.breitling@rug.nl>, Ritsert Jansen
     <r.c.jansen@rug.nl>

_R_e_f_e_r_e_n_c_e_s:

     Y. Li, R. Breitling and R.C. Jansen. Generalizing genetical
     genomics: the added value from environmental perturbation, Trends
     Genet (2008) 24:518-524. 
      Y. Li, M. Swertz, G. Vera, J. Fu, R. Breitling, and R.C. Jansen.
     designGG: An R-package and Web tool for the optimal design of
     genetical genomics experiments. (submitted) 
      http://gbic.biol.rug.nl/designGG

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

     'arrayUpdate', 'designGG'

