PCoA Results — PCOA-class • dimensio

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.

See also

Other class: BootstrapCA-class, BootstrapPCA-class, CA-class, MCA-class, MultivariateAnalysis, MultivariateBootstrap, MultivariateResults, MultivariateSummary, PCA-class

Author

N. Frerebeau

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)