Determining the Number of Factors in Exploratory Factor Analysis

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Documentation for package ‘EFAfactors’ version 1.1.1

• DESCRIPTION file.
• Package NEWS.

Help Pages

af.softmax	An Activation Function: Softmax
CD	the Comparison Data (CD) Approach
CDF	the Comparison Data Forest (CDF) Approach
data.bfi	25 Personality Items Representing 5 Factors
data.datasets	Subset Dataset for Training the Pre-Trained Deep Neural Network (DNN)
data.scaler	the Scaler for the Pre-Trained Deep Neural Network (DNN)
DNN_predictor	A Pre-Trained Deep Neural Network (DNN) for Determining the Number of Factors
EFAhclust	Hierarchical Clustering for EFA
EFAindex	Various Indeces in EFA
EFAkmeans	K-means for EFA
EFAscreet	Scree Plot
EFAsim.data	Simulate Data that Conforms to the theory of Exploratory Factor Analysis.
EFAvote	Voting Method for Number of Factors in EFA
EKC	Empirical Kaiser Criterion
extractor.feature.DNN	Extracting features for the Pre-Trained Deep Neural Network (DNN)
extractor.feature.FF	Extracting features According to Goretzko & Buhner (2020)
factor.analysis	Factor Analysis by Principal Axis Factoring
FF	Factor Forest (FF) Powered by An Tuned XGBoost Model for Determining the Number of Factors
GenData	Simulating Data Following John Ruscio's RGenData
Hull	the Hull Approach
KGC	Kaiser-Guttman Criterion
load_DNN	Load the Trained Deep Neural Network (DNN)
load_scaler	Load the Scaler for the Pre-Trained Deep Neural Network (DNN)
load_xgb	Load the Tuned XGBoost Model
model.xgb	the Tuned XGBoost Model for Determining the Number of Facotrs
normalizor	Feature Normalization
PA	Parallel Analysis
plot.CD	Plot Comparison Data for Factor Analysis
plot.CDF	Plot Comparison Data Forest (CDF) Classification Probability Distribution
plot.DNN_predictor	Plot DNN Predictor Classification Probability Distribution
plot.EFAhclust	Plot Hierarchical Cluster Analysis Dendrogram
plot.EFAkmeans	Plot EFA K-means Clustering Results
plot.EFAscreet	Plots the Scree Plot
plot.EFAvote	Plot Voting Results for Number of Factors
plot.EKC	Plot Empirical Kaiser Criterion (EKC) Plot
plot.FF	Plot Factor Forest (FF) Classification Probability Distribution
plot.Hull	Plot Hull Plot for Factor Analysis
plot.KGC	Plot Kaiser-Guttman Criterion (KGC) Plot
plot.PA	Plot Parallel Analysis Scree Plot
predictLearner.classif.xgboost.earlystop	Prediction Function for the Tuned XGBoost Model with Early Stopping
print.CD	Print Comparison Data Method Results
print.CDF	Print Comparison Data Forest (CDF) Results
print.DNN_predictor	Print DNN Predictor Method Results
print.EFAdata	Print the EFAsim.data
print.EFAhclust	Print EFAhclust Method Results
print.EFAkmeans	Print EFAkmeans Method Results
print.EFAscreet	Print the Scree Plot
print.EFAvote	Print Voting Method Results
print.EKC	Print Empirical Kaiser Criterion Results
print.FF	Print Factor Forest (FF) Results
print.Hull	Print Hull Method Results
print.KGC	Print Kaiser-Guttman Criterion Results
print.PA	Print Parallel Analysis Method Results