dietox                package:geepack                R Documentation

_G_r_o_w_t_h _c_u_r_v_e_s _o_f _p_i_g_s _i_n _a _3_x_3 _f_a_c_t_o_r_i_a_l _e_x_p_e_r_i_m_e_n_t

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

     The 'dietox' data frame has 861 rows and 7 columns.

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

     data(dietox)

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

     This data frame contains the following columns:

     _W_e_i_g_h_t a numeric vector

     _F_e_e_d a numeric vector

     _T_i_m_e a numeric vector

     _P_i_g a numeric vector

     _E_v_i_t a numeric vector

     _C_u a numeric vector

     _L_i_t_t_e_r a numeric vector

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

     Lauridsen, C., Hjsgaard, S.,Srensen, M.T. C. (1999) Influence of
     Dietary Rapeseed Oli, Vitamin E, and Copper on Performance and
     Antioxidant and Oxidative Status of Pigs. J. Anim. Sci.77:906-916

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

     data(dietox)
     dietox$Cu     <- as.factor(dietox$Cu)
     gee01 <- geeglm (Weight ~ Time + Cu + Cu * Time, id =Pig, data = dietox,
              family=gaussian,corstr="ex")

     mf <- formula(Weight~Cu*(Time+I(Time^2)+I(Time^3)))
     gee1 <- geeglm(mf, data=dietox, id=Pig, family=poisson("identity"),corstr="ar1")
     summary(gee1)
     anova(gee1)

