Determining the Number of Factors in Exploratory Factor Analysis

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Documentation for package ‘EFAfactors’ version 1.2.0

Help Pages

af.softmax An Activation Function: Softmax
CD the Comparison Data (CD) Approach
CDF the Comparison Data Forest (CDF) Approach
check_python_libraries Check and Install Python Libraries (numpy and onnxruntime)
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