Lasker                package:Malmig                R Documentation

_C_a_l_c_u_l_a_t_e_s _t_h_e _L_a_s_k_e_r _k_i_n_s_h_i_p _c_o_e_f_f_c_i_e_n_t

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

     ``Lasker''calculates the Lasker kinship coefficient starting from
     isonymy data.

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

     Lasker(x)

_A_r_g_u_m_e_n_t_s:

       x: is a matrix where the N rows correspond to the surnames
          present in the whole population and the M columns are the
          subpopulations 

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

     The use of ``Lasker'' could be problematic, because different
     people are likely to arrange isonymy data in different ways on
     their computers. We decided for a matrix format for the isonymy
     data; the function would originally accept data in a different
     format and then convert it internally, but this would be a problem
     for people with data arranged in a different format. In the end we
     decided to leave all data arrangement outside the function and
     write a verbose explanation in the info for the dataset "surnames"
     so it would be clear for the user how ``Lasker'' works.

_V_a_l_u_e:

     Returns a square symmetric kinship matrix.

_N_o_t_e:

     ...

_A_u_t_h_o_r(_s):

     Federico C. F. Calboli and Alessio Boattini
     alessio.boattini2@unibo.it

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

     Lasker, G.W. 1977. A coefficient of relationship by isonymy: A
     method for estimating the genetic relationship between
     populations. Hum. Biol. 49:489-493.

_S_e_e _A_l_s_o:

     'Phi' for the Malecot kinship model, 'surnames' for an explanation
     on how to generate the correct input dataframe

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

     data(surnames)
     surnames #a made-up dateset

     # you can see that the surnames are arranged as the _rows_ and the populations are the _columns_
     # the use of the function ``Lasker'' just turns this data into a kinship matrix

     lask.kin <- Lasker(surnames)
     lask.kin

