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

To plot a bar plot of adjusted R-squared, sum of squared error, and F statistic in MATLAB, you can follow these steps:

1. Calculate or obtain the values of adjusted R-squared, sum of squared error, and F statistic.
2. Store the values in three separate variables.
3. Create a vector or cell array to represent the three statistics.
4. Use the bar function in MATLAB to plot the bar plot.

Here is an example code that demonstrates how to do this:

main.m
% Example data
adjustedR2 = [0.75, 0.8, 0.85];
SSE = [100, 150, 120];
Fstat = [4.5, 5.2, 3.8];

% Create a cell array to represent the statistics
statistics = {'Adjusted R-squared', 'Sum of Squared Error', 'F statistic'};

% Create a figure and plot the bar plot
figure;
bar([adjustedR2; SSE; Fstat]);

% Set the x-axis labels to the statistics names
set(gca, 'XTickLabel', statistics);

% Add a title and labels to the axes
title('Statistics Comparison');
xlabel('Statistics');
ylabel('Value');
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You can change the values in the adjustedR2, SSE, and Fstat variables in the example code to match your specific data.

This code will create a bar plot with three bars representing each statistic, with the x-axis labeled accordingly. The title and axis labels are also set to provide a meaningful visualization.

Note: Make sure you have MATLAB's Statistics and Machine Learning Toolbox installed to have access to the bar function.