pca: Generic Function for Principal Component Analysis
Description
This is a generic function to call PCA on various objects. The default method
uses stats::prcomp().
Usage
pca(object, TVE = 1, ...)# S3 method for default
pca(object, ...)
# S3 method for dfts
pca(object, TVE = 1, ...)
Value
Principal component data. Note that the scores are in x and the eigenfuctions
in rotation. This is to keep consistency between existing pca methods in R,
but may change in the future.
Arguments
- object
Object for computation of principle components analysis.
- TVE
Numeric in [0,1] for the total variance explained, this determines
the number of components and can be used for dimension reduction.
- ...
Additional parameters to extensions based on data. Often this is
additional information for prcomp.