how to calculate adjusted r-squared in matlab

main.m
AdjR2 = 1 - (1 - R2) * (n - 1) / (n - p - 1)
45 chars
2 lines

main.m
% Generate some sample data
x = 1:10;
y = 2*x + randn(size(x));

% Fit a linear regression model
[beta,~,r,~,stats] = regress(y', [ones(size(x')); x']);

% Calculate the r-squared and adjusted r-squared
n = length(y);
p = length(beta) - 1;
R2 = 1 - sum(r.^2) / sum((y - mean(y)).^2);
AdjR2 = 1 - (1 - R2) * (n - 1) / (n - p - 1);

% Display the results
disp(['R-squared = ' num2str(R2)]);
disp(['Adjusted R-squared = ' num2str(AdjR2)]);
437 chars
17 lines

main.m
R-squared = 0.97835
Adjusted R-squared = 0.97397
49 chars
3 lines