stamEval-class             package:stam             R Documentation

_R_e_s_u_l_t_s _o_f _a _C_o_m_p_l_e_t_e _S_t_A_M _A_n_a_l_y_s_i_s

_D_e_s_c_r_i_p_t_i_o_n:

     Objects of this class are returned by 'ctam.evaluate'. Results of
     all steps in a  structured analysis of microarray data are stored.

_O_b_j_e_c_t_s _f_r_o_m _t_h_e _C_l_a_s_s:

     Objects can be created by calls of the form  'new("stamEval",
     exprs, cv, fit, pred, testset)', but using 'stam.evaluate'  is
     recommended.

_S_l_o_t_s:


     '_c_h_i_p': Object of class '"character"', the name of the chip for 
          which the classifier net is generated.

     '_e_x_p_r_s': Object of class '"matrix"', the plain matrix of 
          expression levels [probesets x samples], rownames and
          colnames are expected to be  defined

     '_c_v': Object of class '"stamCV"', store cross validation results

     '_f_i_t': Object of class '"stamFit"', store model fit

     '_p_r_e_d': Object of class '"stamPrediction"', store  prediction
          results

     '_t_e_s_t_s_e_t': Object of class '"numeric"', indices of samples treated
           as test set. The others are used for trainig.

_M_e_t_h_o_d_s:


     _w_r_i_t_e_H_T_M_L 'signature(x = "stamEval")': generate HTML information
          on a  complete StAM analysis, but using 'stam.writeHTML' is
          recommended.

_A_u_t_h_o_r(_s):

     Claudio Lottaz

_S_e_e _A_l_s_o:

     'stam.evaluate', 'stamCV-class',  'stamFit-class',
     'stamPrediction-class',  'stam.writeHTML'

