ordcomp                package:labdsv                R Documentation

_O_r_d_i_n_a_t_i_o_n _t_o _D_i_s_s_i_m_i_l_a_r_i_t_y _C_o_m_p_a_r_i_s_o_n

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

     Plots the distribution of pair-wise distances of all points in an
     ordination over the distances in the dissimilarity or distance
     matrix the ordination was calculated from.  Prints the correlation
     between the two on the graph.

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

     ordcomp(x,dis,dim,xlab="Computed Distance",ylab="Ordination Distance",
                 title="",pch=1)

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

       x: an ordination object from 'pca', 'pco', 'nmds', 'fso' or
          'ordiplot'

     dis: an object of class 'dist'

     dim: the number of dimensions in the ordination to use
          (default=all)

    xlab: the X axis label for the graph

    ylab: the Y axis label for the graph

   title: a title for the  plot

     pch: the symbol to plot

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

     A plot is created on the current graphics device.  Returns the
     (invisible) correlation.

_N_o_t_e:

     Ordinations are low dimensional representations of
     multidimensional spaces. This function attempts to portray how
     well the low dimensional solution approximates the full
     dimensional space.

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

     David W. Roberts droberts@montana.edu

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

     <URL: http://ecology.msu.montana.edu/labdsv/R/labdsv>

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

     data(bryceveg) # produces a vegetation data.frame
     dis.bc <- dsvdis(bryceveg,'bray/curtis') # creates a Bray/Curtis dissimilarity matrix
     pco.bc <- pco(dis.bc,2) # produces a two-dimensional Principal Coordinates Ordination object
     ordcomp(pco.bc,dis.bc)

