vsnInput                 package:vsn                 R Documentation

_C_l_a_s_s _t_o _c_o_n_t_a_i_n _i_n_p_u_t _d_a_t_a _a_n_d _p_a_r_a_m_e_t_e_r_s _f_o_r _v_s_n _f_u_n_c_t_i_o_n_s

_D_e_s_c_r_i_p_t_i_o_n:

     Class to contain input data and parameters for vsn functions

_C_r_e_a_t_i_n_g _O_b_j_e_c_t_s:

     'new("vsnInput")'

_S_l_o_t_s:

     '_x': A numeric matrix with the input data.

     '_r_e_f_e_r_e_n_c_e': An object of 'vsn', typically this would have been
          obtained from a previous fit to a set of reference arrays
          (data).

     '_s_t_r_a_t_a': A factor of length 0 or n. If its length is n, then its
          levels correspond to different normalization strata (see
          'vsn2').

     '_o_r_d_e_r_e_d': Logical scalar; are the rows reordered so that the
          strata are contiguous.

     '_l_t_s._q_u_a_n_t_i_l_e': Numeric scalar, see'vsn2'.

     '_s_u_b_s_a_m_p_l_e': Integer scalar, see'vsn2'.

     '_v_e_r_b_o_s_e': Logical scalar, see'vsn2'.

     '_p_s_t_a_r_t': A 3D array of size (number of strata) x (number of
          columns of the data matrix) x 2 containing start parameters.

     '_c_v_g._n_i_t_e_r': Integer scalar, see'vsn2'.

     '_c_v_g._e_p_s': Numeric scalar, see'vsn2'.

_M_e_t_h_o_d_s:

     '[' Subset

     '_d_i_m' Get dimensions of data matrix.

     '_n_r_o_w' Get number of rows of data matrix.

     '_n_c_o_l' Get number of columns of data matrix.

     '_s_h_o_w' Print a summary of the object

_A_u_t_h_o_r(_s):

     Wolfgang Huber <URL: http://www.ebi.ac.uk/huber>

_S_e_e _A_l_s_o:

     'vsn2'

_E_x_a_m_p_l_e_s:

