Robust PCA of a Spectra Object

Description

A wrapper which carries out robust PCA analysis on a Spectra object. The data are row- and column-centered, and the user can select various options for scaling.

Usage

r_pcaSpectra(spectra, choice = "noscale")

Arguments

Value

An object of classes conPCA and princomp (see q2rPCA). It includes a list element called $method, a character string describing the pre-processing carried out and the type of PCA performed (it appears on plots which you might make).

Author(s)

Bryan A. Hanson, DePauw University.

References

K. Varmuza and P. Filzmoser Introduction to Multivariate Statistical Analysis in Chemometrics, CRC Press, 2009.

https://github.com/bryanhanson/ChemoSpec

See Also

See PCAgrid on which this function is based. For the classical version, see c_pcaSpectra.

For displaying the results, plotScree, plotScores, plotLoadings, plot2Loadings, sPlotSpectra, plotScores3D, plotScoresRGL.

Examples

data(metMUD1)
pca <- r_pcaSpectra(metMUD1)
plotScores(metMUD1, pca, main = "metMUD1 NMR Data",
  pcs = c(1,2), ellipse = "cls", tol = 0.05)