Description
Calculates a random distance matrix for use in null
model analysis.
Usage
rnddist(size, method='metric', sat = 1.0, upper=FALSE,
diag=FALSE)Value
A dissimilarity object of class ‘dist’
Arguments
- 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)
Details
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.
Examples
Run this codex <- rnddist(100)
pco.x <- pco(x)
plot(pco.x)
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