humDNAm                 package:ade4                 R Documentation

_h_u_m_a_n _m_i_t_o_c_h_o_n_d_r_i_a_l _D_N_A _r_e_s_t_r_i_c_t_i_o_n _d_a_t_a

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

     This data set gives the frequencies of haplotypes of mitochondrial
     DNA restriction data in ten populations all over the world.
      It gives also distances among the haplotypes.

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

     data(humDNAm)

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

     'humDNAm' is a list of 3 components.

     _d_i_s_t_a_n_c_e_s is an object of class 'dist' with 56 haplotypes. These
          distances are computed by counting the number of differences
          in restriction sites between two haplotypes.

     _s_a_m_p_l_e_s is a data frame with 56 haplotypes, 10 abundance variables
          (populations).  These variables give the haplotype abundance
          in a given population.

     _s_t_r_u_c_t_u_r_e_s is a data frame with 10 populations, 1 variable
          (classification). This variable gives the name of the
          continent in which a given population is located

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

     Excoffier, L., Smouse, P.E. and Quattro, J.M. (1992) Analysis of
     molecular variance inferred from metric distances among DNA
     haplotypes: application to human mitochondrial DNA restriction
     data. _Genetics_, *131*, 479-491.

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

     data(humDNAm)
     dpcoahum <- dpcoa(humDNAm$samples, sqrt(humDNAm$distances), scan = FALSE, nf = 2)
     plot(dpcoahum, csize = 1.5)

