indon               package:DPpackage               R Documentation

_I_n_d_o_n_e_s_i_a_n _C_h_i_l_d_r_e_n'_s _H_e_a_l_t_h _S_t_u_d_y

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

     This data set consider respiratory infection information of 250
     indonesian children reported by Sommer, Katz, and Tarwotjo (1984).
     The children,  all preschoolers, were seen quarterly for up to six
     quarters. At each examination,  the presence or absence of
     respiratory infection was noted.

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

     data(indon)

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

     A data frame with 1200 observations on the following 9 variables.

     '_i_d' an ordered factor giving a unique identifier for the subject
          in the study.

     '_g_e_n_d_e_r' a numeric vector giving the gender.

     '_h_e_i_g_h_t' a numeric vector giving the height for age as a
          percentage of the National Center for Health Statitics
          standard centered at 90.

     '_c_o_s_v' a numeric vector giving the seasonal cosine for the annual
          cycle.

     '_s_i_n_v' a numeric vector giving the seasonal sine for the annual
          cycle.

     '_x_e_r_o' a numeric vector giving the presence (1) or absence (0) of
          xeropthalmia.

     '_b_a_s_e_a_g_e' a numeric vector giving the age at the entry.

     '_a_g_e' a numeric vector giving the age of the child in months
          centered at 36

     '_i_n_f_e_c_t' a numeric vector giving the presence (1) or absence (0)
          of respiratory infection.

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

     Sommer, A., Katz, J., and Tarwotjo, I. (1984) Increased risk of
     respiratory infection and diarrhea in children with pre-existing
     mild vitamin A deficiency, American Journal of Clinical Nutrition,
     40: 1090-1095.

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

     Zeger, S.L., and Karim, M.R. (1991) Generalized linear models with
     random effects: A Gibbs sampling approach. Journal of the American
     Statistical Association, 86: 79-86.

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

     data(indon)
     ## maybe str(indon) ; plot(indon) ...

