labdsv (version 1.8-0)

rnddist: Random Distance

Description

Calculates a random distance matrix for use in null model analysis.

Usage

rnddist(size, method='metric', sat = 1.0, upper=FALSE, diag=FALSE)

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.

See Also

metrify, euclidify

Examples

# NOT RUN {
    x <- rnddist(100)
    pco.x <- pco(x)
    plot(pco.x)
# }