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 |
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:
figures: List with figures on all components, summaries, reconstructed values, and residuals.
reconstruction: Reconstructed value from PCs.
residuals: Difference between true and reconstruction.
See Also
Examples
results <- pca_examination(electricity, TVE = 0.9)
[Package fChange version 2.1.0 Index]