rotate_factors: Rotate results
In James-Thorson/VAST: Vector-Autoregressive Spatio-Temporal (VAST) Model

rotate_factors

R Documentation

Rotate results

Description

rotate_factors rotates results from a factor model

Usage

rotate_factors(
  L_pj = NULL,
  Psi_sjt = NULL,
  Cov_pp = NULL,
  Psi_spt = NULL,
  RotationMethod = "PCA",
  testcutoff = 1e-10,
  quiet = FALSE,
  ...
)

Arguments

`L_pj`	Loadings matrix for 'p' categories and 'j' factors (calculated from `Cov_pp` if it is provided)
`Psi_sjt`	Array of factors (1st dimension: spatial knots; 2nd dimension: factors; 3rd dimension: time)
`Cov_pp`	Covariance calculated from loadings matrix. if `Cov_pp` is provided and `L_pj=NULL`, then `L_pj` is calculated from `Cov_pp`
`Psi_spt`	Array of projected factors (1st dimension: spatial knots; 2nd dimension: categories; 3rd dimension: time) if `Psi_spt` is provided and `Psi_sjt=NULL`, then `Psi_sjt` is calculated from `Psi_spt` and `L_pj`
`RotationMethod`	Method used for rotation when visualing factor decomposition results, Options: "PCA" (recommended) or "Varimax"
`testcutoff`	tolerance for numerical rounding when confirming that rotation doesn't effect results