loadings: Loadings extractor for either PCA or PLS models

In MAIT: Statistical Analysis of Metabolomic Data

Description

Function loadings returns the loading vectors for either the PCA, PLS models when functions plotPCA or plotPLS have been already respectively launched. It also can be used to retrieve the peak aggregation models.

Usage

loadings(object, type = "none", ...)

Arguments

object	A MAIT-class object
type	A character whose value should be "PCA" or "PLS" depending on which loading vectors are wanted. If it is set to "none", the peak aggregation models are retrieved.
...	Other input

Value

A matrix with the loading vectors.

Author(s)

Francesc Fernandez, [e-mail]

See Also

plotPCA or plotPLS

Examples

data(MAIT_sample)
MAIT<-spectralSigFeatures(MAIT,p.adj="fdr",parametric=TRUE)
loadings(MAIT)

MAIT<-plotPCA(MAIT,plot3d=FALSE)
loadings(MAIT,type="PCA")

MAIT<-plotPLS(MAIT,plot3d=FALSE)
loadings(MAIT,type="PLS")

MAIT documentation built on Nov. 8, 2020, 5:43 p.m.