Machines                package:nlme                R Documentation

_P_r_o_d_u_c_t_i_v_i_t_y _S_c_o_r_e_s _f_o_r _M_a_c_h_i_n_e_s _a_n_d _W_o_r_k_e_r_s

_D_e_s_c_r_i_p_t_i_o_n:

     The 'Machines' data frame has 54 rows and 3 columns.

_F_o_r_m_a_t:

     This data frame contains the following columns:

     _W_o_r_k_e_r an ordered factor giving the unique identifier for the
          worker.

     _M_a_c_h_i_n_e a factor with levels 'A',  'B', and  'C' identifying the
          machine brand.

     _s_c_o_r_e a productivity score.


_D_e_t_a_i_l_s:

     Data on an experiment to compare three brands of machines used in
     an industrial process are presented in Milliken and Johnson (p.
     285, 1992). Six workers were chosen randomly among the employees
     of a factory to operate each machine three times. The response is
     an overall productivity score taking into account the number and
     quality of components produced.

_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.14)

     Milliken, G. A. and Johnson, D. E. (1992), _Analysis of Messy
     Data, Volume I: Designed Experiments_, Chapman and Hall, London.