jggrad2                package:LMGene                R Documentation

_G_e_n_e_r_a_t_i_n_g _J_a_c_o_b_i_a_n-_c_o_r_r_e_c_t_e_d _d_a_t_a

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

     This function returns a Jacobian-corrected data with the given
     parameters lambda and alpha.

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

     jggrad2(y, lambda, alpha)

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

       y: A matrix data containing array information 

  lambda: A parameter for glog transformation 

   alpha: A parameter for glog transformation 

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

     The input arguments here would be rarely dealt by users directly.

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

data_matrix : A matrix containing Jacobian-corrected data, gradient
          data by lambda and gradient data by alpha

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

     David Rocke and Geun-Cheol Lee

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

     B. Durbin and D.M. Rocke, (2003) Estimation of Transformation
     Parameters for Microarray Data,  Bioinformatics, 19, 1360-1367.

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

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

     'msecalc'

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

     #library
     library(Biobase)
     library(LMGene)

     #data
     data(Smpd)
     dim(Smpd)

     JCSmpd<-jggrad2(Smpd, 500, 50)
     dim(JCSmpd)

