plot-methods             package:flowViz             R Documentation

_V_e_r_y _b_a_s_i_c _p_l_o_t_t_i_n_g _o_f _f_l_o_w_F_r_a_m_e_s

_D_e_s_c_r_i_p_t_i_o_n:

     A basic method to plot 'flowFrame' objects. Depending on the
     number of dimensions, different types of plots are generates. See
     below for details.

_D_e_t_a_i_l_s:

     Basic plots for 'flowFrame' objects. If the object has only a
     single parameter this produces a 'histogram'. For exactly two
     parameters we plot a bivariate density map (see 'smoothScatter')
     and for more than two parameters we produce a simple 'splom' plot.
     To select specific parameters from a 'flowFrame' for plotting,
     either subset the object or specify the parameters as a character
     vector in the second argument to 'plot'. The 'smooth' parameters
     lets you toggle between density-type 'smoothScatter' plots and
     regular scatter- or pairs plots.  For far more sophisticated
     plotting of flow cytometry data, see the lattice-style plot
     methods provided by this package.

_M_e_t_h_o_d_s:



     _x = "_f_l_o_w_F_r_a_m_e", _y = "_A_N_Y" We decide on the number of parameters
          in the  'flowFrame'which plot type to use.

     _x = "_f_l_o_w_F_r_a_m_e", _y = "_m_i_s_s_i_n_g" see above 

     _x = "_f_l_o_w_F_r_a_m_e", _y = "_c_h_a_r_a_c_t_e_r" The parameters to plot are given
          as a second argument in the form of a character vector. 


_A_u_t_h_o_r(_s):

     F. Hahne

_S_e_e _A_l_s_o:

     'xyplot', 'flowFrame', 'densityplot'

