Indometh              package:datasets              R Documentation

_P_h_a_r_m_a_c_o_k_i_n_e_t_i_c_s _o_f _I_n_d_o_m_e_t_h_i_c_i_n

_D_e_s_c_r_i_p_t_i_o_n:

     The 'Indometh' data frame has 66 rows and 3 columns of data on the
     pharmacokinetics of indomethicin.

_U_s_a_g_e:

     Indometh

_F_o_r_m_a_t:

     This data frame contains the following columns:

     _S_u_b_j_e_c_t an ordered factor with containing the subject codes.  The
          ordering is according to increasing maximum response.

     _t_i_m_e a numeric vector of times at which blood samples were drawn
          (hr).

     _c_o_n_c a numeric vector of plasma concentrations of indomethicin
          (mcg/ml).


_D_e_t_a_i_l_s:

     Each of the six subjects were given an intravenous injection of
     indomethicin.

_S_o_u_r_c_e:

     Kwan, Breault, Umbenhauer, McMahon and Duggan (1976), Kinetics of
     Indomethicin absorption, elimination, and enterohepatic
     circulation in man. _Journal of Pharmacokinetics and
     Biopharmaceutics_, *4*, 255-280.

     Davidian, M. and Giltinan, D. M. (1995) _Nonlinear Models for
     Repeated Measurement Data_, Chapman & Hall (section 5.2.4, p. 134)

     Pinheiro, J. C. and Bates, D. M. (2000) _Mixed-effects Models in S
     and S-PLUS_, Springer.

_E_x_a_m_p_l_e_s:

     require(stats)
     fm1 <- nls(conc ~ SSbiexp(time, A1, lrc1, A2, lrc2),
                data = Indometh, subset = Subject == 1)
     summary(fm1)