rnddist {labdsv} | R Documentation |
Calculates a random distance matrix for use in null model analysis.
rnddist(size, method='metric', sat = 1.0, upper=FALSE, diag=FALSE)
size |
the number of items to calculate the distances for |
method |
the desired properties of the matrix. Must be either ‘metric’ or ‘euclidean’ |
sat |
a saturation coefficient to set an upper limit less than 1.0 that truncates maximum values to simulate a dissimilarity rather than a distance |
upper |
logical: whether to print the upper triangle (default=FALSE) |
diag |
logical: whether to print the diagonal (default=FALSE) |
Generates a matrix of size^2 uniform random numbers
and passes the matrix to metrify
or
euclidify
to ensure the metric or
euclidean properties of the distances. Values are normalized
to a maximum of 1.0.
David W. Roberts droberts@montana.edu
http://ecology.msu.montana.edu.labdsv/R/labdsv
x <- rnddist(100) pco.x <- pco(x) plot(pco.x)