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The outbbt object contains the results of a bootstrapped Blackbox transpose analysis performed on the rankings dataset. This analysis was conducted to explore the dimensional structure of the data, handling specified missing values, and applying dimensionality reduction with bootstrapping.

Usage

outbbt

Format

A list containing several components, typically including:

boot_samples

A list of bootstrapped samples, each containing the results of the Blackbox transpose analysis for a specific bootstrap iteration.

original_fit

The original fit of the Blackbox transpose analysis without bootstrapping.

convergence

Convergence diagnostics for each bootstrapped sample, indicating how well the bootstrapping process converged for the specified dimensions.

errors

Error metrics or diagnostics generated during the bootstrapping process.

summary

A summary of the bootstrapped analysis, including averaged results and variability across bootstrapped samples.

Source

Generated by the boot.blackbox_transpose function applied to the rankings dataset.

Details

The outbbt object is generated by performing a bootstrapped Blackbox transpose analysis on the rankings dataset, with dimensionality reduction to 3 dimensions. Missing data values specified as 77, 88, and 89 were handled during the analysis. The process was repeated R=5 times to generate a robust estimate of the dimensional structure of the data.