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Summary of Changes

Hello @strengejacke, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request significantly enhances the interpretability of Exploratory Factor Analysis (EFA) results by introducing the display of factor correlations. Specifically, when an oblique rotation method is applied, the summary output will now include a dedicated table showing the correlations between the extracted factors, providing crucial insights into their relationships.

Highlights

  • Core Feature: Implemented the display of factor correlations in the summary output for Exploratory Factor Analysis (EFA) when oblique rotations are used.
  • Data Processing: Enhanced the summary.parameters_efa function to extract and attach the factor correlation matrix (Phi) as an attribute to the summary object for oblique rotations.
  • Output Formatting: Updated the HTML (print_html.R), Markdown (print_md.R), and text (print.parameters_efa_summary in utils_pca_efa.R) print methods to correctly render the newly available factor correlation tables alongside the explained variance summary.
  • Helper Function: Introduced a new internal helper function .is_oblique_rotation to reliably identify common oblique rotation methods.
  • Testing: Added new snapshot tests to test-factor_analysis.R and a corresponding snapshot file _snaps/factor_analysis.md to ensure the correct and consistent display of factor correlations in the output.
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Code Review

The pull request successfully adds support for displaying factor correlations when oblique rotations are used in factor analysis. Key changes include updating the summary generation to include these correlations and modifying print handlers for console, HTML, and Markdown to display them. Tests with snapshots have been added to cover this new functionality. Feedback includes making the rotation name check case-insensitive in .is_oblique_rotation for robustness, and aligning the HTML output format for factor correlations with the Markdown and console outputs (i.e., using two separate tables instead of merging them into one) for consistency. Overall, the changes are a valuable addition.

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Code Review

This pull request introduces functionality to show factor correlations for oblique rotations and introduces a new factor_scores() function. The changes are generally well-implemented with updated documentation and tests. I have suggested some minor improvements.

@strengejacke strengejacke merged commit ffa2d3c into main Jun 18, 2025
17 of 23 checks passed
@strengejacke strengejacke deleted the include_factor_corrs branch June 18, 2025 17:03
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