二、计算自变量和因变量之间的相关性 correlation_matrix=corr(data(:,1:end-1),data(:,end),'type','Pearson');三、绘制相关性图 figure;heatmap(correlation_matrix,'Colormap',bone,...'XLabel','因变量','YLabel','自变量',...'YDisplayLabels',{'x1
MATLAB提供了 corrcoef 函数来计算两个变量之间的相关系数,对其求平方即可得到R平方值。 correlation_matrix = corrcoef(x, y); correlation = correlation_matrix(1, 2); r_squared = correlation^2; disp(['R-squared: ', num2str(r_squared)]); 运行结果为: R-squared: 0.73812 R^2越接近1说明误差越小...
Correlation Matrix Scatterplot (https://www.mathworks.com/matlabcentral/fileexchange/53043-correlation-matrix-scatterplot), MATLAB Central File Exchange. Retrieved May 19, 2025. Requires MATLAB None. MATLAB Release Compatibility Created with R2015a Compatible with any release Platform Compatibility...
```matlab correlation_matrix=abs(corr(standardized_data));```4.计算灰色关联度：利用关联系数计算灰色关联度。灰色关联度的计算方式可以根据具体的算法来确定，例如可以使用灰色关联度分析法中的一种。假设你采用灰色关联度分析法中的一种算法，比如最小值法：```matlab %假设correlation_matrix是关联系数矩阵 gra...
% Load the example dataset and compute correlation matrix D = load('patients.mat'); D.IsFemale = ismember(D.Gender, 'Female'); [~, D.HealthStatus] = ismember(D.SelfAssessedHealthStatus, {'Poor', 'Fair', 'Good', 'Excellent'}); ...
Matrix weights put weight on individual entries of the correlation matrix. A full matrix must be specified, but you can control which entries are more important to match. Alternatively, vector weights put weight on a full column (and the corresponding row). Fewer weights need to be specified ...
0.004 -0.082 0.08 -0.4 0.279 1]; % correlation matrix COV = zeros(k, k); for i = 1:k for j = 1:k COV(i, j) = corr(i, j) * Std(i) * Std(j); end end First_order_double_loop_2 = GSA_FirstOrder_mvn(Mu', COV, @func_beam, 1000); ...
% Calculate eigenvectors and eigenvalues of correlation matrix. [V, D]=eig(CM); % Get the eigenvalue sequence according to descending and the corrosponding % attribution rates and accumulation rates. for j=1:b DS(j,1)=D(b+1-j, b+1-j); ...
The settingRows="pairwise"(the default) can return a correlation matrix that is not positive definite. The settingRows="complete"returns a positive-definite matrix, but, in general, the estimates are based on fewer observations. Algorithms ...
The difference betweencorr(X,Y)and the MATLAB®functioncorrcoef(X,Y)is thatcorrcoef(X,Y)returns a matrix of correlation coefficients for two column vectorsXandY. IfXandYare not column vectors,corrcoef(X,Y)converts them to column vectors. ...