leverage

leverage,pcaRes-method

object


The leverages of PCA model indicate how much influence each
observation has on the PCA model. Observations with high leverage
has caused the principal components to rotate towards them. It can
be used to extract both "unimportant" observations as well as
picking potential outliers.


multivariate

Provides Bayesian PCA, Probabilistic PCA, Nipals PCA,
Inverse Non-Linear PCA and the conventional SVD PCA. A cluster
based method for missing value estimation is included for
comparison. BPCA, PPCA and NipalsPCA may be used to perform PCA
on incomplete data as well as for accurate missing value
estimation. A set of methods for printing and plotting the
results is also provided. All PCA methods make use of the same
data structure (pcaRes) to provide a common interface to the
PCA results. Initiated at the Max-Planck Institute for
Molecular Plant Physiology, Golm, Germany.

Henning Redestig

pcaMethods

A collection of PCA methods

leverage,pcaRes-method function

The leverages of PCA model indicate how much influence each
observation has on the PCA model. Observations with high leverage
has caused the principal components to rotate towards them. It can
be used to extract both "unimportant" observations as well as
picking potential outliers.

leverage,pcaRes-method: Extract leverages of a PCA model

Description

Usage

Arguments

Value

Details

References

Examples