Soybean                 package:nlme                 R Documentation

_G_r_o_w_t_h _o_f _s_o_y_b_e_a_n _p_l_a_n_t_s

_D_e_s_c_r_i_p_t_i_o_n:

     The 'Soybean' data frame has 412 rows and 5 columns.

_F_o_r_m_a_t:

     This data frame contains the following columns:

     _P_l_o_t a factor giving a unique identifier for each plot.

     _V_a_r_i_e_t_y a factor indicating the variety; Forrest (F) or Plant
          Introduction #416937 (P).

     _Y_e_a_r a factor indicating the year the plot was planted.

     _T_i_m_e a numeric vector giving the time the sample was taken (days
          after planting).

     _w_e_i_g_h_t a numeric vector giving the average leaf weight per plant
          (g).

_D_e_t_a_i_l_s:

     These data are described in Davidian and Giltinan (1995, 1.1.3,
     p.7) as ``Data from an experiment to compare growth patterns of
     two genotypes of soybeans: Plant Introduction #416937 (P), an
     experimental strain, and Forrest (F), a commercial variety.''

_S_o_u_r_c_e:

     Pinheiro, J. C. and Bates, D. M. (2000), _Mixed-Effects Models in
     S and S-PLUS_, Springer, New York.  (Appendix A.27)

     Davidian, M. and Giltinan, D. M. (1995), _Nonlinear Models for
     Repeated Measurement Data_,  Chapman and Hall, London.

_E_x_a_m_p_l_e_s:

     data(Soybean)
     summary(fm1 <- nlsList(SSlogis, data = Soybean))

