Fast and Flexible Implementations of Exploratory Factor Analysis Tools

Documentation for package ‘EFAtools’ version 1.0.0

Help Pages

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_average	Model averaging across different EFA estimators 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 alignment
efa_reliability	Reliability and common-variance coefficients for a factor solution
efa_retain	Various factor retention criteria
efa_schmid_leiman	Schmid-Leiman transformation
efa_scores	Estimate factor scores and score-quality diagnostics for an EFA model
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
EKC	Empirical Kaiser criterion
estimate_control	Control objects for estimation and rotation settings

-- F --

FACTOR_SCORES	Estimate factor scores for an EFA model
format.efa	Print and summarise an efa object
format.efa_average	Print and format an efa_average object
format.efa_bartlett	Print and format an efa_bartlett object
format.efa_compare	Print and format an efa_compare object
format.efa_estimate_control	Print and format a control object
format.efa_group	Print and format a multigroup factor analysis
format.efa_kmo	Print and format an efa_kmo object
format.efa_loadings	Print a loading matrix
format.efa_mi	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_retain	Format method for efa_retain objects
format.efa_retention	Format method for efa_retention objects
format.efa_rotate_control	Print and format a control object
format.efa_schmid_leiman	Print and format an efa_schmid_leiman object
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.efa_sl_loadings	Print an efa_sl_loadings object
format.OMEGA	Print and format an OMEGA object
format.summary.efa	Print and summarise an efa object
format.summary.efa_scores	Print and format an efa_scores object

-- G --

GRiPS_raw

-- H --

HULL	Hull method

-- I --

IDS2_R

Intelligence subtests from the Intelligence and Development Scales-2

-- K --

KGC	Kaiser-Guttman criterion
KMO	Kaiser-Meyer-Olkin criterion

-- M --

MAP	Minimum average partial

-- N --

NEST	Next eigenvalue sufficiency test
N_FACTORS	Various factor retention criteria

-- O --

OMEGA

McDonald's omega

-- P --

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_estimate_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_mi	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_retain	Print method for efa_retain objects
print.efa_retention	Print method for efa_retention objects
print.efa_rotate_control	Print and format a control object
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
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
rotate_control	Control objects for estimation and rotation settings

-- S --

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
summary.efa	Print and summarise an efa object
summary.efa_mi	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

-- 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	Convert an '"efa_loadings"' table to matrix or a matrix to '"efa_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.
.simulate_cfm_eigen	Reference eigenvalues for the efa_nest() simulation via the shared kernel.
.simulate_cfm_mvn	Draw multivariate-normal data from a population correlation matrix.
.tucker_congruence	Tucker congruence between factors