Rotate lower-triangle loadings matrix
to order factors from largest to smallest variance.
Usage
rotate_pca(
L_tf,
x_sf = matrix(0, nrow = 0, ncol = ncol(L_tf)),
order = c("none", "increasing", "decreasing")
)
Arguments
- L_tf
Loadings matrix with dimension \(T \times F\).
- x_sf
Spatial response with dimensions \(S \times F\).
- order
Options for resolving label-switching via reflecting
each factor to achieve a given order across dimension \(T\).
Value
List containing the rotated loadings L_tf,
the inverse-rotated response matrix x_sf,
and the rotation H