dot-compute_vars: Compute explained variances from loadings

In EFAtools: Fast and Flexible Implementations of Exploratory Factor Analysis Tools

Compute explained variances from loadings

Description

From unrotated loadings compute the communalities and uniquenesses for total variance. Compute explained variances per factor from rotated loadings (and factor intercorrelations Phi if oblique rotation was used).

Usage

.compute_vars(L_unrot, L_rot, Phi = NULL)

Arguments

L_unrot	matrix. Unrotated factor loadings.
L_rot	matrix. Rotated factor loadings.
Phi	matrix. Factor intercorrelations. Provide only if oblique rotation is used.

Value

A matrix with sum of squared loadings, proportion explained variance from total variance per factor, same as previous but cumulative, Proportion of explained variance from total explained variance, and same as previous but cumulative. The three cumulative and common-variance rows are omitted when L_rot has a single column, where they would only repeat the two above them, so the result has two rows there and five otherwise.

EFAtools documentation built on Aug. 21, 2026, 5:16 p.m.