C1                   package:nlreg                   R Documentation

_S_i_x _H_e_r_b_i_c_i_d_e _D_a_t_a _S_e_t_s

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

     The 'C1'-'C4', 'M2' and 'M4' data frames have 40 to 72 rows and
     three columns.

     Six bioassay on the action of the herbicides chlorsulfuron and
     metsulfuron methyl on the callus area of colonies of _Brassica
     napus L_.  The  experiments consist of measurements for different
     dose levels and can be balanced ('C4', 'M2') or unbalanced ('C1',
     'C2', 'C3', 'M4').

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

       data(C1)
       data(C2)
       data(C3)
       data(C4)
       data(M2)
       data(M4)

_F_o_r_m_a_t:

     These data frame contain the following columns:

     '_g_r_o_u_p' indicator variable for each tested dose; 

     '_d_o_s_e' the tested dose (nmol/l);

     '_a_r_e_a' the callus area (mm^2).


_N_o_t_e:

     Data sets 'C3' and 'chlorsulfuron' are the same. Data sets 'M2'
     and 'metsulfuron' are the same.

_S_o_u_r_c_e:

     The data were obtained from

     Seiden, P., Kappel, D. and Streibig, J. C. (1998) Response of
     _Brassica napus L._ tissue culture to metsulfuron methyl and
     chlorsulfuron.  _Weed Research_, *38*, 221-228.

_R_e_f_e_r_e_n_c_e_s:

     Bellio, R., Jensen, J.E. and Seiden, P. (2000).  Applications of 
     likelihood asymptotics for nonlinear regression in herbicide
     bioassays. _Biometrics_, *56*, 1204-1212.

     Brazzale, A. R. (2000) _Practical Small-Sample Parametric 
     Inference_.  Ph.D. Thesis N. 2230, Department of Mathematics,
     Swiss  Federal Institute of Technology Lausanne.  Section 5.3,
     Example 8.

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

     'chlorsulfuron', 'metsulfuron'

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

     data(C3)
     attach(C3)
     plot(dose, area, xlab = "tested dose (nmol/l)", 
          ylab = "log callus area (mm^2)", log = "y")
     detach()

