temperatureStep           package:designGG           R Documentation

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

     Calculate the temperature decreasing step for simulated annealing
     process. This is a subfunction needed for 'designGG', but is not
     directly used.

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

     temperatureStep(startTemp, maxTempStep, endTemp, nIterations)

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

startTemp: starting temperature of simulated annealing process. 

maxTempStep: maximum  temperature decreasing step for simulated 
          annealing process. The parameter ensures that the
          multiplicative cooling  factor is not smaller than this
          value. If nIterations is too small, the preferred  final
          temperature (endTemp) may not be reached. See Wit and McClure
          (2004)  for details.  

 endTemp: ending temperature of simulated annealing process. An
          important optimization parameter. Setting this parameter
          closer to zero. See Wit and McClure (2004) for details  

nIterations: number of iterations in the simulated annealing method. 

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

     A temperature decreasing step in the simulated annealing process.

_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, 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 
      Y. Li, R. Breitling and R.C. Jansen. Generalizing genetical 
     genomics: the added value from environmental perturbation, Trends
     Genet (2008) 24:518-524. 
      E. Wit and J. McClure. Statistics for Microarrays: Design,
     Analysis and Inference. (2004) Chichester: Wiley.

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

     'designGG'

