Fast and Flexible Implementations of Exploratory Factor Analysis
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Documentation for package ‘EFAtools’ version 0.8.0
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B C D E F G H I K M N O P R S T U W misc
-- B --
| BARTLETT | Bartlett's test of sphericity |
-- C --
| CD | Comparison Data |
| COMPARE | Compare two vectors or matrices (communalities or loadings) |
-- D --
| DOSPERT | DOSPERT |
| DOSPERT_raw | DOSPERT_raw |
-- E --
| EFA | Exploratory factor analysis (EFA) |
| EFA_AVERAGE | Model averaging across different EFA methods and types |
| efa_group | Multigroup exploratory factor analysis |
| EFA_POOLED | Exploratory factor analysis on multiple data imputations |
| efa_power | Power analysis for exploratory factor analysis |
| efa_reliability | Reliability and common-variance coefficients for a factor solution |
| efa_scores | Estimate factor scores and score-quality diagnostics for an EFA model |
| efa_screen | Screen data for exploratory factor analysis |
| efa_simulate | Simulate data from a common-factor population model |
| EKC | Empirical Kaiser Criterion |
-- F --
| FACTOR_SCORES | Estimate factor scores for an EFA model |
| format.BARTLETT | Print and format a BARTLETT object |
| format.COMPARE | Print and format a COMPARE object |
| format.EFA | Print and summarise an EFA object |
| format.EFA_AVERAGE | Print and format an EFA_AVERAGE object |
| format.efa_group | Print and format a multigroup factor analysis |
| format.EFA_POOLED | Print and summarise an EFA object |
| format.efa_power | Print and format an efa_power object |
| format.efa_reliability | Print and format a reliability object |
| format.efa_retention | Format method for efa_retention objects |
| format.efa_scores | Print and format an efa_scores object |
| format.efa_screen | Print and format an efa_screen object |
| format.efa_simulated | Print and format an efa_simulated object |
| format.KMO | Print and format a KMO object |
| format.LOADINGS | Print LOADINGS object |
| format.N_FACTORS | Format method for N_FACTORS objects |
| format.OMEGA | Print and format an OMEGA object |
| format.SL | Print and format an SL object |
| format.SLLOADINGS | Print SLLOADINGS object |
| format.summary.EFA | Print and summarise an EFA object |
| format.summary.efa_scores | Print and format an efa_scores object |
-- G --
| GRiPS_raw | GRiPS_raw |
-- H --
| HULL | Hull method for determining the number of factors to retain |
-- I --
| IDS2_R | Intelligence subtests from the Intelligence and Development Scales-2 |
-- K --
| KGC | Kaiser-Guttman Criterion |
| KMO | Kaiser-Meyer-Olkin criterion |
-- M --
| MAP | Velicer's Minimum Average Partial (MAP) Criterion |
-- N --
| NEST | Next eigenvalue sufficiency test (NEST) |
| N_FACTORS | Various Factor Retention Criteria |
-- O --
| OMEGA | McDonald's omega |
-- P --
| PARALLEL | Parallel analysis |
| plot.COMPARE | Plot COMPARE object |
| plot.EFA_AVERAGE | Plot EFA_AVERAGE object |
| plot.efa_group | Plot a multigroup factor analysis |
| plot.efa_power | Plot the RMSEA power curve |
| plot.efa_retention | Plot method for efa_retention objects |
| plot.N_FACTORS | Plot method for N_FACTORS objects |
| population_models | population_models |
| print.BARTLETT | Print and format a BARTLETT object |
| print.COMPARE | Print and format a COMPARE object |
| print.EFA | Print and summarise an EFA object |
| print.EFA_AVERAGE | Print and format an EFA_AVERAGE object |
| print.efa_group | Print and format a multigroup factor analysis |
| print.EFA_POOLED | Print and summarise an EFA object |
| print.efa_power | Print and format an efa_power object |
| print.efa_reliability | Print and format a reliability object |
| print.efa_retention | Print method for efa_retention objects |
| print.efa_scores | Print and format an efa_scores object |
| print.efa_screen | Print and format an efa_screen object |
| print.efa_simulated | Print and format an efa_simulated object |
| print.KMO | Print and format a KMO object |
| print.LOADINGS | Print LOADINGS object |
| print.N_FACTORS | Print method for N_FACTORS objects |
| print.OMEGA | Print and format an OMEGA object |
| print.SL | Print and format an SL object |
| print.SLLOADINGS | Print SLLOADINGS object |
| print.summary.EFA | Print and summarise an EFA object |
| print.summary.efa_scores | Print and format an efa_scores object |
| PROCRUSTES | Rotate a loading matrix to a target using Procrustes alignment |
-- R --
| residuals.EFA | Extract residuals from an EFA object |
| RiskDimensions | RiskDimensions |
-- S --
| SCREE | Scree Plot |
| SL | Schmid-Leiman Transformation |
| SMT | Sequential Chi Square Model Tests, RMSEA lower bound, and AIC |
| SPSS_23 | Various outputs from SPSS (version 23) FACTOR |
| SPSS_27 | Various outputs from SPSS (version 27) FACTOR |
| summary.EFA | Print and summarise an EFA object |
| summary.EFA_POOLED | Print and summarise an EFA object |
| summary.efa_scores | Print and format an efa_scores object |
-- T --
| test_models | Four test models used in Grieder and Steiner (2022) |
-- U --
| UPPS_raw | UPPS_raw |
-- W --
| WJIV_ages_14_19 | Woodcock Johnson IV: ages 14 to 19 |
| WJIV_ages_20_39 | Woodcock Johnson IV: ages 20 to 39 |
| WJIV_ages_3_5 | Woodcock Johnson IV: ages 3 to 5 |
| WJIV_ages_40_90 | Woodcock Johnson IV: ages 40 to 90 plus |
| WJIV_ages_6_8 | Woodcock Johnson IV: ages 6 to 8 |
| WJIV_ages_9_13 | Woodcock Johnson IV: ages 9 to 13 |
-- misc --
| .average_matrices | Average a list of matrices elementwise |
| .change_class | Covert a '"LOADINGS"' table to matrix or a matrix to '"LOADINGS"' |
| .compute_vars | Compute explained variances from loadings |
| .consensus_loss | Mean squared discrepancy to a consensus target |
| .consensus_target_procrustes_single | Internal single-start GPA-consensus engine |
| .extract_list_object | Extract a list object by its name |
| .factor_corres | Compute number of non-matching indicator-to-factor correspondences |
| .gpa_consensus_target | Generalized Procrustes Analysis consensus target across loading matrices |
| .hyperplane_count | Count near-zero loadings |
| .oblique_procrustes | Oblique Procrustes target rotation using a k x k inner objective |
| .oblique_procrustes_batch | Batched oblique Procrustes target rotation over a cube of loading matrices |
| .orthogonal_procrustes | Closed-form orthogonal Procrustes rotation |
| .paf_iter | Perform the iterative PAF procedure |
| .parallel_sim | Parallel analysis on simulated data. |
| .rotate_bentler_oblq | Oblique Bentler factor rotation |
| .rotate_bentler_orth | Orthogonal Bentler factor rotation |
| .rotate_bifactor_oblq | Oblique bifactor factor rotation |
| .rotate_bifactor_orth | Orthogonal bifactor factor rotation |
| .rotate_cf_orth | Orthogonal Crawford-Ferguson factor rotation |
| .rotate_geomin_oblq | Oblique geomin factor rotation |
| .rotate_geomin_orth | Orthogonal geomin factor rotation |
| .rotate_oblimin | Oblique oblimin factor rotation |
| .rotate_simplimax_oblq | Oblique simplimax factor rotation |
| .simulate_cfm_eigen | Reference eigenvalues for the NEST simulation via the shared kernel. |
| .simulate_cfm_mvn | Draw multivariate-normal data from a population correlation matrix. |
| .tucker_congruence | Tucker congruence between factors |