how to plot adjusted r squared , sum of squared error and f-statistic as group in bar figure in matlab

To plot the adjusted R squared, sum of squared error, and F-statistic as a group in a bar figure in MATLAB, you can follow the steps below:

First, calculate the values of adjusted R squared, sum of squared error, and F-statistic for each group or category. Let's assume you have these values stored in the following arrays:

main.m
adjusted_R_squared = [0.85, 0.75, 0.92]; % Adjusted R squared values for each category
sum_squared_error = [100, 150, 80]; % Sum of squared error values for each category
F_statistic = [12.5, 8.9, 14.2]; % F-statistic values for each category
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Next, create a bar plot to visualize these values as a group:

main.m
% Create x-axis labels for each category
categories = {'Category 1', 'Category 2', 'Category 3'};

% Create a figure and bar plot
figure;
bar([adjusted_R_squared', sum_squared_error', F_statistic']);

% Set the x-axis tick labels
set(gca, 'XTickLabel', categories);

% Add labels and title
ylabel('Value');
xlabel('Category');
legend('Adjusted R^2','Sum of Squared Error','F-statistic');
title('Comparison of Adjusted R^2, Sum of Squared Error, and F-Statistic');

% Adjust the layout
grid on;
box on;
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This code snippet will create a bar plot with three bars for each category, representing the adjusted R squared, sum of squared error, and F-statistic values. The x-axis will show the categories, and the y-axis will show the values. The legend will display the labels for each bar, and the title will provide an overview of the comparison.

Make sure to customize the script according to your specific data and preferences.

Note: It is assumed that you have MATLAB installed and have the Statistics and Machine Learning Toolbox installed if you are using R-squared and F-statistic functions from there. If not, you will need to calculate these values separately.