distratio              package:prabclus              R Documentation

_D_i_s_t_a_n_c_e _r_a_t_i_o _t_e_s_t _s_t_a_t_i_s_t_i_c_s _f_o_r _d_i_s_t_a_n_c_e _b_a_s_e_d _c_l_u_s_t_e_r_i_n_g

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

     Calculates the ratio between the 'prop' smallest and largest
     distances of a distance matrix.

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

     distratio(distmat, prop = 0.25)

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

 distmat: symmetric distance matrix.

    prop: numerical. Proportion between 0 and 1.

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

     Rounding is by 'floor' for small and 'ceiling' for large
     distances.

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

     A list with components 

      dr: ratio of 'prop' smallest to 'prop' largest distances.

 lowmean: mean of 'prop' smallest distances.

  himean: mean of 'prop' smallest distances.

    prop: see above.

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

     Christian Hennig hennig@math.uni-hamburg.de <URL:
     http://www.math.uni-hamburg.de/home/hennig/>

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

     Hennig, C. and Hausdorf, B. (2002) Distance-based parametric
     bootstrap tests for clustering of species ranges, submitted, <URL:
     http://stat.ethz.ch/Research-Reports/110.html>.

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

     'prabtest'

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

     data(kykladspecreg)
     # Note: If you do not use the installed package, replace this by
     # kykladspecreg <- read.table("(path/)kykladspecreg.dat")
     j <- jaccard(t(kykladspecreg))
     distratio(j)

