glog                 package:LMGene                 R Documentation

_G_e_n_e_r_a_l_i_z_e_d _l_o_g _t_r_a_n_s_f_o_r_m_a_t_i_o_n _f_u_n_c_t_i_o_n

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

     This function transforms the input values with the generalized log
     function.

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

     glog(y, lambda)

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

       y: A matrix data 

  lambda: Parameter that should be determined 

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

     Usually, matrix 'y' is a modified matrix from an original matrix,
     after deducting parameter alpha. Lambda is one of the parameters
     that should be determined when using the glog function, and these
     parameters are decided by using the function 'tranest'

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

     yt : A matrix containing a transformmed values by glog

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

     David Rocke and Geun-Cheol Lee

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

     Durbin, B.P., Hardin, J.S., Hawkins, D.M., and Rocke, D.M. (2002)
     A variance-stabilizing transformation for gene-expression
     microarray data, Bioinformatics, 18, S105-S110.

     <URL: http://www.idav.ucdavis.edu/~dmrocke/>

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

     'tranest'

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

     #library
     library(Biobase)
     library(LMGene)

     #data
     data(sample.mat)
     sample.mat[1:5,1:4]

     GloggedSmpd<-glog(sample.mat-50,500)
     GloggedSmpd[1:5,1:4]

