NMDS {Momocs}

Non metric multidimensional scaling

Description

A wrapper around vegan::metaMDS.

Usage

NMDS(x, distance = "bray", k = 2, try = 20, trymax = 20, ...)

Arguments

x

any Coe object

distance

a dissiminarity index to feed vegan::vegdist (default: bray)

k

numeric number of dimensions to feed vegan::metaMDS (default: 2)

try

numeric minimum number of random starts to feed vegan::metaMDS (default: 20)

trymax

numeric minimum number of random starts to feed vegan::metaMDS (default: 20)

...

additional parameters to feed vegan::metaMDS

Details

For Details, see vegan::metaMDS

Value

what is returned by vegan::metaMDS plus ⁠$fac⁠. And prepend NMDS class to it.

See Also

Other multivariate: CLUST(), KMEANS(), KMEDOIDS(), LDA(), MANOVA_PW(), MANOVA(), MDS(), MSHAPES(), PCA(), classification_metrics()

Examples

x <- bot %>% efourier %>% NMDS

# Shepard diagram # before a Momocs wrapper
# vegan::stressplot(x)