lazy.fa {lazy.fa} | R Documentation |
lazy.fa: Some factor analytic functions for lazy boys and girls.
Description
The following are the classes of the functions.
Factor Extraction Methods
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pca_by_als: A demo program of PCA with optimal transformation of data by ALS
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fa_hs: ML/LS Solution of Factor Analysis with Homoschedastic Error
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efa: Simple Iterative ML or LS Solution to Exploratory Factor Analysis
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cfa: Simple Iterative ML or LS Solution to Confirmatory Factor Analysis
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est_disp: ML Estimation of Normal Dispersion Matrix.
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normalize_fa: Normalization of Factor Score and Factor Pattern Matrices.
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generate_fa_funcs: Generation of functions to be used in numerical optimization.
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ExamplesOfLSFA: Examples of LS Factor Analysys using numerical optimization functions.
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ExamplesOfMLFA: Examples of ML Factor Analysys using numerical optimization functions.
Utility Functions
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orthog2obliq: Conversion of an orthogonal solution to oblique solution
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recoverL: Given Psi, calculate Lambda
Rotation Functions
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womax: Weighted Orthomax Rotation
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rotate2canon: Rotation to Canonical Forms
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planarR: Planar Rotation
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obliqueR: Planar Oblique Rotation with grid search of optimal rho.
Simplicity Indices
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LS_index: Lorenzo-Seva Loading Simplicity Index
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ss_index: sum of off diagonal elements of t(B2)%*%B2
some more available
Data Generation
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gendatafa_A: Generation of Simple Structure Factor Pattern Matrix