plot-methods           package:fRegression           R Documentation

_R_e_g_r_e_s_s_i_o_n _M_o_d_e_l _P_l_o_t _M_e_t_h_o_d_s

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

     Plots results obtained from a fitted regression model.

_U_s_a_g_e:

     ## S4 method for signature 'fREG, missing':
     plot(x, which = "ask", ...)

_A_r_g_u_m_e_n_t_s:

       x: an object of class 'fREG'. 

   which: a character string selectiong which plot should be displayed.
          By default 'which="ask"' which allows to generate plots
          interactively. 

     ...: additional arguments to be passed to the underlying plot
          functions. 

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

     The plots are a set of graphs which are common to the regression
     models implemented in the function 'regFit'. This includes linear
     regression models 'use="lm"',  robust linear regression models
     'use="rlm"',  generalized linear regression models 'use = "glm"', 
     generalized additive regression models 'use = "gam"',  prjection
     pursuit regression models 'use = "ppr"',  neural network
     regression models 'use = "nnet"', and polytochomous MARS models
     'use = "polymars"'.

     In addition one can also use the original plot functions of the
     original models, .e.g. 'plot(slot(object, "fit")'.

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



     _x = "_A_N_Y", _y = "_A_N_Y" Generic function.

     _x = "_f_R_E_G", _y = "_m_i_s_s_i_n_g" Plot function to display results
          obtained from a fitted  regression model. 


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

     Diethelm Wuertz for the Rmetrics R-port.

_E_x_a_m_p_l_e_s:

     ## regSim -
        x = regSim(model = "LM3", n = 50)
       
     ## regFit -
        fit = regFit(Y ~ X1 + X2 + X3, data = x, use = "lm")
        
     ## plot -

