MCP NMAP Server

% Generate synthetic data for 5 violin plots rng(42); % Set random seed for reproducibility % Generate data with different means and same standard deviation n_samples = 1000; std_dev = 1.5; means = [2, 4, 3, 5, 3.5]; data = cell(1, 5); for i = 1:5 % Using randn for normal distribution data{i} = std_dev * randn(n_samples, 1) + means(i); end % Create plot figure('Position', [100, 100, 800, 600]); hold on; colors = [0.3 0.5 0.7; 0.7 0.3 0.5; 0.5 0.7 0.3; 0.3 0.7 0.7; 0.7 0.5 0.3]; for i = 1:5 % Create simple distribution visualization [counts, edges] = hist(data{i}, 30); centers = (edges(1:end-1) + edges(2:end)) / 2; scaled_counts = 0.4 * counts / max(counts); % Plot the distribution on both sides plot(i + scaled_counts, centers, 'Color', colors(i,:), 'LineWidth', 2); plot(i - scaled_counts, centers, 'Color', colors(i,:), 'LineWidth', 2); % Fill the area patch([i + scaled_counts, i - fliplr(scaled_counts)], ... [centers, fliplr(centers)], ... colors(i,:), 'FaceAlpha', 0.3); % Add median line median_val = median(data{i}); line([i-0.2 i+0.2], [median_val median_val], 'Color', 'k', 'LineWidth', 2); % Add mean marker plot(i, mean(data{i}), 'k*', 'MarkerSize', 8); end % Customize plot appearance title('Distribution of Values Across Groups', 'FontSize', 14, 'FontWeight', 'bold'); xlabel('Groups', 'FontSize', 12); ylabel('Values', 'FontSize', 12); grid on; set(gca, 'XTick', 1:5, 'XTickLabel', {'Group A', 'Group B', 'Group C', 'Group D', 'Group E'}); % Add mean values as text for i = 1:5 max_val = max(data{i}); text(i, max_val+0.5, sprintf('μ=%.1f', means(i)), ... 'HorizontalAlignment', 'center', 'FontSize', 10); end % Set axis limits ylim([min([data{:}])-1, max([data{:}])+1]); xlim([0.5, 5.5]); hold off;