Fast and Flexible Implementations of Exploratory Factor Analysis Tools

---

Documentation for package ‘EFAtools’ version 0.7.0

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package NEWS
• Package README

Help Pages

.average_matrices	Average a list of matrices elementwise
.calc_cis	Confidence intervals around mean
.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 consensus engine
.extract_list_object	Extract a list object by its name
.factor_corres	Compute number of non-matching indicator-to-factor correspondences
.hyperplane_count	Count near-zero loadings
.nest_sym	Get reference values for nest.
.numformat	Format numbers for print method
.oblique_procrustes	Oblique Procrustes target rotation using a k x k inner objective
.orthogonal_procrustes	Closed-form orthogonal Procrustes rotation
.paf_iter	Perform the iterative PAF procedure
.parallel_sim	Parallel analysis on simulated data.
.stat_over_list	Calculate statistics for a list of matrices
.tucker_congruence	Tucker congruence between factors
BARTLETT	Bartlett's test of sphericity
CD	Comparison Data
COMPARE	Compare two vectors or matrices (communalities or loadings)
CONSENSUS_PROCRUSTES	Consensus Procrustes alignment across multiple loading matrices
DOSPERT	DOSPERT
DOSPERT_raw	DOSPERT_raw
EFA	Exploratory factor analysis (EFA)
EFA_AVERAGE	Model averaging across different EFA methods and types
EFA_POOLED	Exploratory factor analysis on multiple data imputations
EKC	Empirical Kaiser Criterion
FACTOR_SCORES	Estimate factor scores for an EFA model
format.EFA	Print EFA object
format.EFA_POOLED	Print EFA object
format.LOADINGS	Print LOADINGS object
GRiPS_raw	GRiPS_raw
HULL	Hull method for determining the number of factors to retain
IDS2_R	Intelligence subtests from the Intelligence and Development Scales-2
KGC	Kaiser-Guttman Criterion
KMO	Kaiser-Meyer-Olkin criterion
MAP	Velicer's Minimum Average Partial (MAP) Criterion
NEST	Next eigenvalue sufficiency test (NEST)
N_FACTORS	Various Factor Retention Criteria
OMEGA	McDonald's omega
PARALLEL	Parallel analysis
plot.CD	Plot CD object
plot.EFA_AVERAGE	Plot EFA_AVERAGE object
plot.EKC	Plot EKC object
plot.HULL	Plot HULL object
plot.KGC	Plot KGC object
plot.PARALLEL	Plot PARALLEL object
plot.SCREE	Plot SCREE object
population_models	population_models
print.BARTLETT	Print BARTLETT object
print.CD	Print function for CD objects
print.COMPARE	Print COMPARE object
print.EFA	Print EFA object
print.EFA_AVERAGE	Print EFA_AVERAGE object
print.EFA_POOLED	Print EFA object
print.EKC	Print function for EKC objects
print.HULL	Print function for HULL objects
print.KGC	Print function for KGC objects
print.KMO	Print KMO object
print.LOADINGS	Print LOADINGS object
print.MAP	Print function for MAP objects
print.NEST	Print function for NEST objects
print.N_FACTORS	Print function for N_FACTORS objects
print.OMEGA	Print OMEGA object
print.PARALLEL	Print function for PARALLEL objects
print.SCREE	Print function for SCREE objects
print.SL	Print SL object
print.SLLOADINGS	Print SLLOADINGS object
print.SMT	Print SMT object
PROCRUSTES	Rotate a loading matrix to a target using Procrustes alignment
residuals.EFA	Residuals function for EFA objects
RiskDimensions	RiskDimensions
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
test_models	Four test models used in Grieder and Steiner (2020)
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