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 toFALSE
.- ...
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 classMFPCAfit
as produced by the functionMFPCA::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[1:16])
#> ℹ The maximum number of principal component is 15.