chlorsulfuron             package:nlreg             R Documentation

_C_h_l_o_r_s_u_l_f_u_r_o_n _D_a_t_a

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

     The 'chlorsulfuron' data frame has 51 rows and 3 columns.

     Bioassay on the action of the herbicide chlorsulfuron on the
     callus  area of colonies of _Brassica napus L_.  The experiment 
     consists of 51 measurements for 10 different dose levels.  The 
     design is unbalanced: the number of replicates per dose varies
     from a minimum of 5 to a maximum of 8.

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

     data(chlorsulfuron)

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

     This data frame contains 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).


_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.  Dataset C3.

_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.

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

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

