pcoa {dimensio} | R Documentation |
Principal Coordinates Analysis
Description
Computes classical (metric) multidimensional scaling.
Usage
pcoa(object, ...)
## S4 method for signature 'dist'
pcoa(object, rank = 2)
Arguments
object |
|
... |
Currently not used. |
rank |
An |
Value
A PCOA
object.
Author(s)
N. Frerebeau
References
Gower, J. C. (1966). Some Distance Properties of Latent Root and Vector Methods Used in Multivariate Analysis. Biometrika, 53(3‑4): 325-338. doi:10.1093/biomet/53.3-4.325.
See Also
Other multivariate analysis:
ca()
,
mca()
,
pca()
,
predict()
Examples
## Load data
data("iris")
## Compute euclidean distances
d <- dist(iris[, 1:4], method = "euclidean")
## Compute principal coordinates analysis
X <- pcoa(d)
## Screeplot
screeplot(X)
## Plot results
plot(X, extra_quali = iris$Species)
[Package dimensio version 0.9.0 Index]