An User-Friendly Application for Exploratory Factor Analysis
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Updated
Mar 22, 2019 - R
An User-Friendly Application for Exploratory Factor Analysis
# kaefa kwangwoon automated exploratory factor analysis for improving research capability to identify unexplained factor structure with complexly cross-classified multilevel structured data in R environment
Reproducibility archive for preprint "Estimating the Number of Factors in Exploratory Factor Analysis via out-of-sample Prediction Errors"
The following data is Supplementary Material of the manuscript: "Porosity, openness, and exposure: Identification of underlying factors associated with semi-outdoor spaces’ microclimate performance and clustering in tropical high-density Singapore".
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