dot-compute_vars: Compute explained variances from loadings
In mdsteiner/EFAdiff: Fast and Flexible Implementations of Exploratory Factor Analysis Tools
.compute_vars R Documentation
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.
mdsteiner/EFAdiff documentation built on Jan. 10, 2023, 8:54 a.m.
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| .compute_vars | R Documentation |
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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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