mstCalib-class            package:mscalib            R Documentation

_C_l_a_s_s "_m_s_t_C_a_l_i_b"

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

     This object is generated by while computing the minimum spanning
     tree calibration of the 'Massvectorlist-class'. Afterwards it is
     used to obtain an 'Calibintlist-class' by executing the function
     'thebigcalib'. (Status Testing)

_O_b_j_e_c_t_s _f_r_o_m _t_h_e _C_l_a_s_s:

     It is generated by the call to method 'getmstCalib-methods'

_S_l_o_t_s:

     '._D_a_t_a': Object of class '"list"' list of lists containing:

             *  F = path weight

             *  C = calibration list

             *  dmat = similarity matrix

             *  start = peak-list of origin

          (for details see source function 'maxSTCalib' and
          'getmstCalib')

     '_i_n_f_o': Object of class '"character"' ID of 'Massvectorlist' 

     '_e_r_r_o_r': Object of class '"numeric"' Mass measurement error used
          to match peaks

     '_p_p_m': Object of class '"logical"' FALSE

     '_w_e_i_g_h_t': Object of class '"logical"' 

     '_m_m_a_x': Object of class '"numeric"' ~~ 

_E_x_t_e_n_d_s:

     Class '"list"', from data part. Class '"vector"', by class
     '"list"'.

_M_e_t_h_o_d_s:

     _t_h_e_b_i_g_c_a_l_i_b 'signature(object = "mstCalib")': ... 

_N_o_t_e:

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

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

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

     'Calibintlist-class'

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

     ##---- Should be DIRECTLY executable !! ----

