PCA-class {dimensio} | R Documentation |
PCA Results
Description
An S4 class to store the results of a principal components analysis.
Slots
center
A
numeric
vector giving the column mean of the initial dataset (active individuals only).scale
A
numeric
vector giving the column standard deviations of the initial dataset (active individuals only).
Note
This class inherits from MultivariateAnalysis
.
Author(s)
N. Frerebeau
See Also
Other class:
BootstrapCA-class
,
BootstrapPCA-class
,
CA-class
,
MCA-class
,
MultivariateAnalysis
,
MultivariateBootstrap
,
MultivariateResults
,
MultivariateSummary
,
PCOA-class
Examples
## Load data
data("iris")
## Compute principal components analysis
X <- pca(iris)
## Get eigenvalues
get_eigenvalues(X)
## Get individual cos2
head(get_cos2(X, margin = 1))
## Get variable contributions
get_contributions(X, margin = 2)
## Get correlations between variables and dimensions
get_correlations(X)
[Package dimensio version 0.9.0 Index]