samplePointMatrix-class       package:KCsmart       R Documentation

_S_a_m_p_l_e _p_o_i_n_t _m_a_t_r_i_x

_D_e_s_c_r_i_p_t_i_o_n:

     A sample point matrix resulting from a call to calcSpm

_O_b_j_e_c_t_s _f_r_o_m _t_h_e _C_l_a_s_s:

     Objects can not be created by the user directly but rather through
     calcSpm.

_S_l_o_t_s:


     '_t_o_t_a_l_L_e_n_g_t_h': The total length of the sample point matrix,
          measures in sample points

     '_m_a_x_y': The maximum KC score attained over the sample point matrix 

     '_m_i_n_y': The minimum KC score attained over the sample point matrix 

     '_s_a_m_p_l_e_D_e_n_s_i_t_y': The sample density used to calculate the sample
          point matrix. ie the distance between two points in the
          sample point matrix, measured in base pairs. 

     '_s_i_g_m_a': The sigma used for the kernel to calculate the sample
          point matrix.

     '_m_i_r_r_o_r_L_o_c_s': The mirror locations list used to calculate the
          sample point matrix

     '_p_r_o_b_e_A_n_n_o_t_a_t_i_o_n': The original probe annotation from the input
          data.

     '_d_a_t_a': The sample point matrix data points in the form of a list
          where each list element represents a chromosome.

_M_e_t_h_o_d_s:


     _p_l_o_t 'signature(x = "samplePointMatrix")': ... 

     _s_h_o_w 'signature(object = "samplePointMatrix")': ... 

_E_x_a_m_p_l_e_s:

     showClass("samplePointMatrix")

