Results Structure Reference

When running results = HERA.run_ranking(...), the returned structure contains:

Field	Dimensions	Description
Final Results
`final_rank`	`[N x 1]`	Final rank for each dataset (1 = Best).
`final_order`	`[1 x N]`	Indices of datasets sorted by rank.
`final_bootstrap_ranks`	`[N x B]`	Bootstrapped rank distribution for stability analysis.
`ci_lower_rank`	`[N x 1]`	Lower bound of Rank Confidence Interval.
`ci_upper_rank`	`[N x 1]`	Upper bound of Rank Confidence Interval.
`thresholds`	struct	Thresholds for Cliff's Delta and RelDiff.
Statistics
`d_vals_all`	`[Pairs x M]`	Cliff's Delta effect sizes for all pairs/metrics.
`rel_vals_all`	`[Pairs x M]`	Relative Mean Differences.
`ci_d_all`	`[Pairs x 2 x M]`	BCa Confidence Intervals for Delta.
`ci_r_all`	`[Pairs x 2 x M]`	BCa Confidence Intervals for RelDiff.
`all_p_value_matrices`	`{1 x M}`	Cell array of raw p-values (Wilcoxon).
`all_alpha_matrices`	`{1 x M}`	Cell array of Holm-Bonferroni corrected alphas.
`all_sig_matrices`	`{1 x M}`	Logical matrices indicating significant wins.
Diagnostics
`swap_details`	struct	Log of logic-based rank swaps (M1 vs M2).
`intermediate_orders`	struct	Rankings after each hierarchical stage.
`borda_results`	struct	Consensus ranking from sensitivity analysis.
`power_results`	struct	Post-hoc power analysis data.
`all_permutation_ranks`	`[N x Perms]`	Ranks for every metric permutation tested.
`selected_permutations`	`[Perms x M]`	Indices of metrics for each permutation.