Oats                  package:nlme                  R Documentation

_S_p_l_i_t-_p_l_o_t _E_x_p_e_r_i_m_e_n_t _o_n _V_a_r_i_e_t_i_e_s _o_f _O_a_t_s

_D_e_s_c_r_i_p_t_i_o_n:

     The 'Oats' data frame has 72 rows and 4 columns.

_F_o_r_m_a_t:

     This data frame contains the following columns:

     _B_l_o_c_k an ordered factor with levels 'VI' < 'V' < 'III' < 'IV' <
          'II' < 'I'

     _V_a_r_i_e_t_y a factor with levels 'Golden Rain'  'Marvellous' 
          'Victory' 

     _n_i_t_r_o a numeric vector

     _y_i_e_l_d a numeric vector


_D_e_t_a_i_l_s:

     These data have been introduced by Yates (1935) as an example of a
     split-plot design. The treatment structure used in the experiment
     was a 3 x 4 full factorial, with three varieties of oats and four
     concentrations of nitrogen. The experimental units were arranged
     into six blocks, each with three whole-plots subdivided into four
     subplots. The varieties of oats were assigned randomly to the
     whole-plots and the concentrations of nitrogen to the subplots. 
     All four concentrations of nitrogen were used on each whole-plot.

_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.15)

     Venables, W. N. and Ripley, B. D. (1999) _Modern Applied
     Statistics with S-PLUS (3rd ed)_, Springer, New York.

