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PCA for QTS Sample

Source: R/qts-prcomp.R
prcomp.qts_sample.Rd

PCA for QTS Sample

Usage

# S3 method for qts_sample
prcomp(x, M = 5, fit = FALSE, ...)

Arguments

x

An object of class qts_sample.

M

An integer value specifying the number of principal component to compute. Defaults to 5L.

fit

A boolean specifying whether the resulting prcomp_qts object should store a reconstruction of the sample from the retained PCs. Defaults to FALSE.

...

Arguments passed to or from other methods.

Value

An object of class prcomp_qts which is a list with the following components:

  • tpca: An object of class MFPCAfit as produced by the function MFPCA::MFPCA(),

  • var_props: A numeric vector storing the percentage of variance explained by each PC,

  • mean_qts: An object of class qts containing the mean QTS,

  • principal_qts: A list of qtss containing the required principal components.

Examples

res_pca <- prcomp(vespa64$igp)