Man pages for EFAtools
Fast and Flexible Implementations of Exploratory Factor Analysis Tools
| BARTLETT | Bartlett's test of sphericity |
| CD | Comparison data |
| COMPARE | Compare two vectors or matrices (communalities or loadings) |
| DOSPERT | DOSPERT |
| DOSPERT_raw | DOSPERT_raw |
| dot-change_class | Convert an '"efa_loadings"' table to matrix or a matrix to... |
| dot-compute_vars | Compute explained variances from loadings |
| dot-consensus_target_procrustes_single | Internal single-start GPA-consensus engine |
| dot-extract_list_object | Extract a list object by its name |
| dot-factor_corres | Compute number of non-matching indicator-to-factor... |
| dot-gpa_consensus_target | Generalized Procrustes Analysis consensus target across... |
| dot-oblique_procrustes | Oblique Procrustes target rotation using a k x k inner... |
| dot-oblique_procrustes_batch | Batched oblique Procrustes target rotation over a cube of... |
| dot-orthogonal_procrustes | Closed-form orthogonal Procrustes rotation |
| dot-paf_iter | Perform the iterative PAF procedure |
| dot-parallel_sim | Parallel analysis on simulated data. |
| dot-rotate_bentler_oblq | Oblique Bentler factor rotation |
| dot-rotate_bentler_orth | Orthogonal Bentler factor rotation |
| dot-rotate_bifactor_oblq | Oblique bifactor factor rotation |
| dot-rotate_bifactor_orth | Orthogonal bifactor factor rotation |
| dot-rotate_cf_orth | Orthogonal Crawford-Ferguson factor rotation |
| dot-rotate_geomin_oblq | Oblique geomin factor rotation |
| dot-rotate_geomin_orth | Orthogonal geomin factor rotation |
| dot-rotate_oblimin | Oblique oblimin factor rotation |
| dot-rotate_simplimax_oblq | Oblique simplimax factor rotation |
| dot-rotation_se_jacobian | Rotation Jacobians for analytic rotation standard errors |
| dot-simulate_cfm_eigen | Reference eigenvalues for the efa_nest() simulation via the... |
| dot-simulate_cfm_mvn | Draw multivariate-normal data from a population correlation... |
| dot-tucker_congruence | Tucker congruence between factors |
| EFA | Exploratory factor analysis (EFA) |
| efa_average | Model averaging across different EFA estimators and types |
| EFA_AVERAGE-superseded | Model averaging across different EFA methods and types |
| efa_bartlett | Bartlett's test of sphericity |
| efa_cd | Comparison data |
| efa_compare | Compare two vectors or matrices (communalities or loadings) |
| efa_ekc | Empirical Kaiser criterion |
| efa_fit | Exploratory factor analysis (EFA) |
| efa_group | Multigroup exploratory factor analysis |
| efa_hull | Hull method for determining the number of factors to retain |
| efa_kgc | Kaiser-Guttman criterion |
| efa_kmo | Kaiser-Meyer-Olkin criterion |
| efa_map | Velicer's minimum average partial (MAP) criterion |
| efa_mi | Exploratory factor analysis on multiple data imputations |
| efa_nest | Next eigenvalue sufficiency test (NEST) |
| efa_parallel | Parallel analysis |
| EFA_POOLED | Exploratory factor analysis on multiple data imputations |
| efa_power | Power analysis for exploratory factor analysis |
| efa_procrustes | Rotate a loading matrix to a target using Procrustes... |
| efa_reliability | Reliability and common-variance coefficients for a factor... |
| efa_retain | Various factor retention criteria |
| efa_schmid_leiman | Schmid-Leiman transformation |
| efa_scores | Estimate factor scores and score-quality diagnostics for an... |
| efa_scree | Scree plot |
| efa_screen | Screen data for exploratory factor analysis |
| efa_simulate | Simulate data from a common-factor population model |
| efa_smt | Sequential chi square model tests, RMSEA lower bound, and AIC |
| EFAtools-package | EFAtools: Fast and Flexible Implementations of Exploratory... |
| EKC | Empirical Kaiser criterion |
| estimate_control | Control objects for estimation and rotation settings |
| FACTOR_SCORES | Estimate factor scores for an EFA model |
| format.efa_retain | Format method for efa_retain objects |
| format.efa_retention | Format method for efa_retention objects |
| GRiPS_raw | GRiPS_raw |
| HULL | Hull method |
| IDS2_R | Intelligence subtests from the Intelligence and Development... |
| KGC | Kaiser-Guttman criterion |
| KMO | Kaiser-Meyer-Olkin criterion |
| MAP | Minimum average partial |
| NEST | Next eigenvalue sufficiency test |
| N_FACTORS | Various factor retention criteria |
| OMEGA | McDonald's omega |
| PARALLEL | Parallel analysis |
| plot.efa_average | Plot efa_average object |
| plot.efa_compare | Plot efa_compare object |
| plot.efa_group | Plot a multigroup factor analysis |
| plot.efa_power | Plot the RMSEA power curve |
| plot.efa_retain | Plot method for efa_retain objects |
| plot.efa_retention | Plot method for efa_retention objects |
| population_models | population_models |
| print.efa | Print and summarise an efa object |
| print.efa_average | Print and format an efa_average object |
| print.efa_bartlett | Print and format an efa_bartlett object |
| print.efa_compare | Print and format an efa_compare object |
| print.efa_control | Print and format a control object |
| print.efa_group | Print and format a multigroup factor analysis |
| print.efa_kmo | Print and format an efa_kmo object |
| print.efa_loadings | Print a loading matrix |
| print.efa_power | Print and format an efa_power object |
| print.efa_reliability | Print and format a reliability object |
| print.efa_retain | Print method for efa_retain objects |
| print.efa_retention | Print method for efa_retention objects |
| print.efa_schmid_leiman | Print and format an efa_schmid_leiman object |
| 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.efa_sl_loadings | Print an efa_sl_loadings object |
| print.OMEGA | Print and format an OMEGA object |
| PROCRUSTES | Rotate a loading matrix to a target using Procrustes... |
| residuals.efa | Extract residuals from an efa object |
| RiskDimensions | RiskDimensions |
| SCREE | Scree plot |
| SL | Schmid-Leiman transformation |
| SMT | Sequential model tests |
| SPSS_23 | Various outputs from SPSS (version 23) FACTOR |
| SPSS_27 | Various outputs from SPSS (version 27) FACTOR |
| test_models | Four test models used in Grieder and Steiner (2022) |
| UPPS_raw | UPPS_raw |
| 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 |
