MDS: (Metric) multidimensional scaling
In vbonhomme/Momocs: Morphometrics using R
MDS R Documentation
(Metric) multidimensional scaling
Description
A wrapper around stats::cmdscale.
Usage
MDS(x, method = "euclidean", k = 2, ...)
Arguments
x
any Coe object
method
a dissiminarity index to feed method in stats::dist (default: euclidean)
k
numeric number of dimensions to feed stats::cmdscale (default: 2)
...
additional parameters to feed stats::cmdscale
Details
For Details, see vegan::metaMDS
Value
what is returned by stats::dist plus $fac. And prepend MDS class to it.
See Also
Other multivariate:
CLUST(),
KMEANS(),
KMEDOIDS(),
LDA(),
MANOVA_PW(),
MANOVA(),
MSHAPES(),
NMDS(),
PCA(),
classification_metrics()
Examples
x <- bot %>% efourier %>% MDS
x
vbonhomme/Momocs documentation built on Nov. 13, 2023, 8:54 p.m.
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| MDS | R Documentation |
(Metric) multidimensional scaling
Description
A wrapper around stats::cmdscale.
Usage
MDS(x, method = "euclidean", k = 2, ...)
Arguments
x |
any Coe object |
method |
a dissiminarity index to feed |
k |
|
... |
additional parameters to feed stats::cmdscale |
Details
For Details, see vegan::metaMDS
Value
what is returned by stats::dist plus $fac. And prepend MDS class to it.
See Also
Other multivariate:
CLUST(),
KMEANS(),
KMEDOIDS(),
LDA(),
MANOVA_PW(),
MANOVA(),
MSHAPES(),
NMDS(),
PCA(),
classification_metrics()
Examples
x <- bot %>% efourier %>% MDS
x
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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