rotate_pca function

Rotate factors to match Principal-Components Analysis

Rotate lower-triangle loadings matrix to order factors from largest to smallest variance.

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 $T$.

Returns

List containing the rotated loadings L_tf, the inverse-rotated response matrix x_sf, and the rotation H