PCOA-class: PCoA Results

In dimensio: Multivariate Data Analysis

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)

dimensio documentation built on Sept. 11, 2024, 8:35 p.m.