PCOA-class {dimensio} | R Documentation |
PCoA Results
Description
An S4 class to store the results of a principal coordinates analysis.
Slots
points
A
numeric
matrix whose rows give the coordinates of the points chosen to represent the dissimilarities.eigenvalues
A
numeric
vector giving the eigenvalues computed during the scaling process.GOF
A length-two
numeric
vector.groups
A
character
vector specifying the class for each observation.
Author(s)
N. Frerebeau
See Also
Other class:
BootstrapCA-class
,
BootstrapPCA-class
,
CA-class
,
MCA-class
,
MultivariateAnalysis
,
MultivariateBootstrap
,
MultivariateResults
,
MultivariateSummary
,
PCA-class
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]