pca_examination {fChange}R Documentation

Principal Component Exploration

Description

Computes the principal component projection and re-combined data with a myriad of figures to understand the projection process.

Usage

pca_examination(X, TVE = 0.95)

Arguments

X

A dfts object or data which can be automatically converted to that format. See dfts().

TVE

Numeric in [0,1] for the total variance explained, this determines the number of components and can be used for dimension reduction.

Value

List with the following elements:

See Also

pca.dfts()

Examples

results <- pca_examination(electricity, TVE = 0.9)

[Package fChange version 2.1.0 Index]