[-method             package:maigesPack             R Documentation

_S_u_b-_s_e_t_t_i_n_g _m_e_t_h_o_d_s _f_o_r _m_a_i_g_e_s _o_b_j_e_c_t_s

_D_e_s_c_r_i_p_t_i_o_n:

     Sub-setting methods were defined for the classes presented in this
     package, 'maiges', 'maigesANOVA',  'maigesRaw' and 'maigesPreRaw'.
     These methods create instances of the given class, for a subset of
     spots and/or arrays in a batch.

_M_e_t_h_o_d_s:


     _x = _A_N_Y generic method.

     _x = _m_a_i_g_e_s 'x[i, j]' extract object of class 'maiges' for spots
          with indexes i and samples with indexes j.

     _x = _m_a_i_g_e_s_A_N_O_V_A 'x[i, j]' extract object of class 'maigesANOVA'
          for spots with indexes i and samples with indexes j.

     _x = _m_a_i_g_e_s_R_a_w 'x[i, j]' extract object of class 'maigesRaw' for
          spots with indexes i and arrays with indexes j.

     _x = _m_a_i_g_e_s_P_r_e_R_a_w 'x[i, j]' extract object of class 'maigesPreRaw'
          for spots with indexes i and arrays with indexes j.

_S_e_e _A_l_s_o:

     'maiges', 'maigesANOVA', 'maigesRaw' and 'maigesPreRaw'.

_E_x_a_m_p_l_e_s:

     ## Loading the dataset
     data(gastro)

     gastro[1:10,]
     gastro[1,1]

     gastro.raw[rep(TRUE, 15),]

     gastro.norm[c(1,4,6), c(10, 18)]

