Srcdfull                package:mmlcr                R Documentation

_L_o_n_g_i_t_u_d_i_n_a_l _D_a_t_a_s_e_t _o_f _A_g_g_r_e_s_s_i_o_n _a_n_d _R_e_a_d_i_n_g _A_b_i_l_i_t_y _i_n _C_h_i_l_d_r_e_n.

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

     The 'Srcdfull' data frame has 1620 rows and 9 columns. It is a
     longitudinal dataset from 405 children  with scores for aggression
      and reading ability.

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

     data(Srcdfull)

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

     This data frame contains the following columns:

     _i_d Subject id.

     _s_e_x A factor variable with the sex of each subject.

     _a_g_e Age of subject at time of interview.

     _a_n_t_i Antisocial score, an integer from 0 to 12.

     _r_e_a_d Reading ability score, ranging from 0 to 8.4.

     _m_o_m_a_g_e Mother's age at first interview.

     _k_i_d_a_g_e Subject's age at first interview.

     _h_o_m_e_c_o_g An integer score, ranging from 0 to 14,  at the first
          interview for cognitive stimulation at home.

     _h_o_m_e_e_m_o An integer score, ranging from 0 to 14,  at the first
          interview for emotional support at home.

_D_e_t_a_i_l_s:

     The sample consists of N=405 children drawn from the Children of 
     the National Longitudinal Survey of Youth, about half of whom are 
     missing one or more of the repeated measures on aggression or
     reading  ability.  The measures of interest include four repeated
     measures of aggressive  behavior taken at two-year intervals, four
     repeat measures of reading  achievement taken at two-year
     intervals, initial interview measures of  cognitive stimulation
     and social support of the child in the home, and  background
     measures of child gender, child age, and mother age.

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

     <URL: http://www.unc.edu/~curran/srcd-docs/srcddata.txt>

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

     <URL: http://www.unc.edu/~curran/srcd-docs/srcdmeth.pdf>

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

     data(Srcdfull)
     Srcdfull.mmlcr4 <- mmlcr(outer = ~1 | id, components = list(
         list(formula = anti ~ poly(age, 2), min = 0, max = 12, 
         class = "cnormlong"), 
         list(formula = read ~ poly(age, 2), class = "normlong")), 
         data = Srcdfull, n.groups = 4)

