NMDS: Non metric multidimensional scaling

In Momocs: Morphometrics using R

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)

Momocs documentation built on Nov. 13, 2023, 5:07 p.m.