bar plot with two y-axis one for sum of squared error value and the second for adjusted r squared and f-statistic values padding with zeros in matlab

main.m
% Generate some example data
errorValues = [0.5, 1.3, 0.8, 2.1]; % Sum of Squared Error values
rSquaredValues = [0.75, 0.85, 0.72, 0.91]; % Adjusted R-squared values
fStatisticValues = [15, 8, 20, 12]; % F-statistic values

% Pad the shorter arrays with zeros to make them the same length
maxLen = max([length(errorValues), length(rSquaredValues), length(fStatisticValues)]);
errorValues = padarray(errorValues, [0 maxLen - length(errorValues)], 'post');
rSquaredValues = padarray(rSquaredValues, [0 maxLen - length(rSquaredValues)], 'post');
fStatisticValues = padarray(fStatisticValues, [0 maxLen - length(fStatisticValues)], 'post');

% Create a bar plot with two y-axes
figure
yyaxis left % Sum of Squared Error y-axis
bar(errorValues, 'b')
ylabel('Sum of Squared Error')

hold on

yyaxis right % Adjusted R-squared and F-statistic y-axes
bar([rSquaredValues, fStatisticValues], 'r')
ylabel('Adjusted R-squared / F-statistic')

% Add a legend to differentiate between the bars
legend('Sum of Squared Error', 'Adjusted R-squared', 'F-statistic', 'Location', 'northwest')

% Set the x-axis tick labels accordingly
xticklabels({'Model 1', 'Model 2', 'Model 3', 'Model 4'})

% Adjust the figure size if necessary
set(gcf, 'Position', [100, 100, 800, 400])

% Optionally save the figure
% saveas(gcf, 'bar_plot.png')

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