glpoints-methods           package:flowViz           R Documentation

_A_d_d_i_n_g _p_o_i_n_t_s _w_i_t_h_i_n _a _g_a_t_e _t_o _a _p_l_o_t

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

     These methods extend the lattice 'lpoints' methods for drawing of
     points contained within a 'filter'. They allow for multiple
     dispatch, since not all 'filter' types need to be evaluated for
     plotting, but this decision should be made internally. In any
     case, we need the raw data in the form of a 'flowFrame'.

_D_e_t_a_i_l_s:

     When plotting 'flowFrame's using the 'plot' method provided by
     'flowViz', the plotted parameters are recorded, which makes it
     possible to correctly overlay the points within 'filter's assuming
     that they are defined for the repective parameters. Warnings and
     error will be cast for the cases where the parameters are
     non-distinct or ambigious. These methods are meant to be used
     within lattice panel functions and are probably not of much use
     outside of those.

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



     _x = "_f_i_l_t_e_r", _d_a_t_a = "_f_l_o_w_F_r_a_m_e", _c_h_a_n_n_e_l_s = "_m_i_s_s_i_n_g" General
          method for all objects inheriting from 'filter'. This is used
          as the default when no more explicit method is found. It
          tries to find the plotted parameters from the internal
          'flowViz.state' environment. This only works if the flow data
          has been plotted using the 'plot' methods provided by this
          'flowViz' package. 

     _x = "_f_i_l_t_e_r", _d_a_t_a = "_m_i_s_s_i_n_g", _c_h_a_n_n_e_l_s = "_A_N_Y" This gives a
          useful error message when we don't get what we need. 

     _x = "_f_i_l_t_e_r_R_e_s_u_l_t", _d_a_t_a = "_f_l_o_w_F_r_a_m_e", _c_h_a_n_n_e_l_s = "_c_h_a_r_a_c_t_e_r" We
          can get all the information about a 'filter' from its
          'filterResult' without the need to re-evaluate.

     _x = "_c_u_r_v_1_F_i_l_t_e_r", _d_a_t_a = "_A_N_Y" We either need a 'filterResult' or
          the raw data as a 'flowFrame' for 'curv1Filter's. 

     _x = "_c_u_r_v_1_F_i_l_t_e_r", _d_a_t_a = "_f_l_o_w_F_r_a_m_e" see above 

     _x = "_c_u_r_v_1_F_i_l_t_e_r", _d_a_t_a = "_m_i_s_s_i_n_g" see above 

     _x = "_c_u_r_v_1_F_i_l_t_e_r", _d_a_t_a = "_m_u_l_t_i_p_l_e_F_i_l_t_e_r_R_e_s_u_l_t" see above 

     _x = "_c_u_r_v_2_F_i_l_t_e_r", _d_a_t_a = "_A_N_Y" We either need a 'filterResult' or
          the raw data as a 'flowFrame' for 'curv2Filter's.

     _x = "_c_u_r_v_1_F_i_l_t_e_r", _d_a_t_a = "_f_l_o_w_F_r_a_m_e", _c_h_a_n_n_e_l_s = "_c_h_a_r_a_c_t_e_r" We
          evaluate the 'filter' on the 'flowFrame' and plot the subset
          of selected points. By default, every subpopulation (if there
          are any) is colored differently.

     _x = "_c_u_r_v_2_F_i_l_t_e_r", _d_a_t_a = "_f_l_o_w_F_r_a_m_e", _c_h_a_n_n_e_l_s = "_c_h_a_r_a_c_t_e_r" see
          above 

     _x = "_k_m_e_a_n_s_F_i_l_t_e_r", _d_a_t_a = "_f_l_o_w_F_r_a_m_e", _c_h_a_n_n_e_l_s = "_c_h_a_r_a_c_t_e_r" see
          above 

     _x = "_n_o_r_m_2_F_i_l_t_e_r", _d_a_t_a = "_f_l_o_w_F_r_a_m_e", _c_h_a_n_n_e_l_s = "_c_h_a_r_a_c_t_e_r" see
          above 

     _x = "_p_o_l_y_g_o_n_G_a_t_e", _d_a_t_a = "_f_l_o_w_F_r_a_m_e", _c_h_a_n_n_e_l_s = "_c_h_a_r_a_c_t_e_r" see
          above 

     _x = "_q_u_a_d_G_a_t_e", _d_a_t_a = "_f_l_o_w_F_r_a_m_e", _c_h_a_n_n_e_l_s = "_c_h_a_r_a_c_t_e_r" see
          above 

     _x = "_r_e_c_t_a_n_g_l_e_G_a_t_e", _d_a_t_a = "_f_l_o_w_F_r_a_m_e", _c_h_a_n_n_e_l_s = "_c_h_a_r_a_c_t_e_r" 
          see above 

     _x = "_e_l_l_i_p_s_o_i_d_G_a_t_e", _d_a_t_a = "_f_l_o_w_F_r_a_m_e", _c_h_a_n_n_e_l_s = "_c_h_a_r_a_c_t_e_r" 
          see above 


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

     F. Hahne

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

     'filter', 'flowFrame', 'glpolygon'

