ordcomp {labdsv} | R Documentation |
Ordination to Dissimilarity Comparison
Description
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.
Usage
ordcomp(x,dis,dim,xlab="Computed Distance",
ylab="Ordination Distance",title="",pch=1)
Arguments
x |
an ordination object of class ‘dsvord’
from |
dis |
an object of class |
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 |
Value
A plot is created on the current graphics device. Returns the (invisible) correlation.
Note
Ordinations are low dimensional representations of multidimensional spaces. This function attempts to portray how well the low dimensional solution approximates the full dimensional space.
Author(s)
David W. Roberts droberts@montana.edu
Examples
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)