how to plot adjusted r squared figure in matlab

To plot the adjusted R-squared figure in MATLAB, you will first need to calculate the adjusted R-squared values for your regression model. Once you have these values, you can use the MATLAB plot function to visualize the adjusted R-squared.

Here is an example of how you can do this in MATLAB:

main.m
% Example data for regression analysis
x = [1, 2, 3, 4, 5];
y = [2, 4, 7, 9, 11];

% Fit a linear regression model
mdl = fitlm(x, y);

% Get the adjusted R-squared values for the model
adjR2 = mdl.Rsquared.Adjusted;

% Create a plot of the adjusted R-squared
figure;
plot(adjR2);

% Customize the plot
title('Adjusted R-squared');
xlabel('Model');
ylabel('Adjusted R-squared');
378 chars
19 lines

Make sure to modify the values x and y to match your own data. The code above fits a linear regression model using the fitlm function and calculates the adjusted R-squared using the Rsquared.Adjusted property of the model object. The plot function is then used to create a plot of the adjusted R-squared values.

Note that this example assumes you have the Statistics and Machine Learning Toolbox installed, which provides the fitlm function for linear regression analysis.

Remember to replace the example data with your own data and customize the plot as needed.