ria                  package:nlreg                  R Documentation

_R_a_d_i_o_i_m_m_u_n_o_a_s_s_a_y _D_a_t_a

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

     The 'ria' data frame has 16 rows and 2 columns.

     Run of a radioimmunoassay (RIA) to estimate the  concentrations of
     a drug in samples of porcine serum.  The  experiment consists of
     16 observations made at 8 different drug  levels with two
     replications at each level.

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

     data(ria)

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

     This data frame contains the following columns:

     '_c_o_n_c' the drug concentration (ng/ml);

     '_c_o_u_n_t' the observed percentage of radioactive gamma counts.


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

     The data were obtained from

     Belanger, B. A., Davidian, M. and Giltinan, D. M. (1996) The
     effect of variance function estimation on nonlinear calibration
     inference  in immunoassay data.  _Biometrics_, *52*, 158-175.  
     Table 1, first two columns.

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

     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 6.

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

     data(ria)
     attach(ria)
     plot(conc, count, xlab="drug concentration (ng/ml)", ylab="gamma counts (%)")
     detach()

