lasker                package:Biodem                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
     a surname frequency table.

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

     lasker(x)

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

       x: is a surname frequency table 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 write a specific function, "sur.freq", to generate
     surname frequency tables directly from raw marriage data or
     marriage-like data (the most commonly used sources in
     bio-demographic studies). For other types of surname data, see the
     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:

     'sur.freq' to generate the input surname frequency table from
     marriage data, 'surnames' for an explanation on how to generate
     the correct input table from other surname sources, 'hedrick'and
     'uri' for other types of inter-population kinship matrices

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

     # starting from a raw marriage records dataset:
     data(valley)
     tot <- sur.freq(valley,PAR,SURM,SURF)
     tot # a frequency table calculated above all the surnames
     lask.kin <- lasker(tot)
     lask.kin # a kinship matrix

     #starting from a generic surname frequency table
     data(surnames)
     surnames #a made-up dataset
     # 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

