Advanced Usage (Developer Mode)

Developers can call HERA.run_ranking directly with data matrices, bypassing file I/O. This is useful for integration into other pipelines or simulation studies.

Syntax

results = HERA.run_ranking(userInput);

Input Structure (userInput)

Instead of folderPath, provide custom_data:

% 1. Prepare Data
% Cell array of (N_Subjects x N_Methods) matrices
data_m1 = randn(50, 5); 
data_m2 = randn(50, 5);
custom_data = {data_m1, data_m2};

% 2. Configure User Input
userInput = struct();
userInput.custom_data = custom_data;
userInput.metric_names = {'Accuracy', 'Runtime'}; % Must match data count
userInput.dataset_names = {'Method A', 'Method B', 'Method C', 'Method D',
    'Method E'};
userInput.ranking_mode = 'M1_M2';
userInput.output_dir = pwd;

% 3. Run
results = HERA.run_ranking(userInput);

Output (results struct)

• .final_rank: Final ranking vector.
• .d_vals_all: Effect sizes (Cliff's Delta).
• .p_vals_all: Raw p-values.
• .ci_d_all: Confidence intervals.

For the full reference of the results struct, see Results Structure Reference.