sortedXyData              package:stats              R Documentation

_C_r_e_a_t_e _a _s_o_r_t_e_d_X_y_D_a_t_a _o_b_j_e_c_t

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

     This is a constructor function for the class of 'sortedXyData'
     objects.  These objects are mostly used in the 'initial' function
     for a self-starting nonlinear regression model, which will be of
     the 'selfStart' class.

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

     sortedXyData(x, y, data)

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

       x: a numeric vector or an expression that will evaluate in
          'data' to a numeric vector 

       y: a numeric vector or an expression that will evaluate in
          'data' to a numeric vector 

    data: an optional data frame in which to evaluate expressions for
          'x' and 'y', if they are given as expressions 

_V_a_l_u_e:

     A 'sortedXyData' object. This is a data frame with exactly two
     numeric columns, named 'x' and 'y'.  The rows are sorted so the
     'x' column is in increasing order.  Duplicate 'x' values are
     eliminated by averaging the corresponding 'y' values.

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

     Jose Pinheiro and Douglas Bates

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

     'selfStart', 'NLSstClosestX', 'NLSstLfAsymptote',
     'NLSstRtAsymptote'

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

     data( DNase )
     DNase.2 <- DNase[ DNase$Run == "2", ]
     sortedXyData( expression(log(conc)), expression(density), DNase.2 )

