Correlation Analysis

Explanation of Correlation Analysis

This tool enables you to perform correlation analysis using multiple methods, including Pearson, Spearman, and Kendall correlations, allowing for a comprehensive assessment of relationships between variables.

• Sub-Variables Analysis: Variables that share a common prefix (e.g., AID1, AID2, AID3) are grouped and averaged to form composite variables.
• Unique Variables Analysis: Each variable is treated independently, allowing you to select them as dependent and independent variables.

Sample Data (Sub-Variables):

AID1  AID2  AID3  HPO1  HPO2  HPO3
1     2     3     1     2     3
2     3     2     2     3     2
3     2     2     3     2     3
            

Sample Data (Unique Variables):

AID    HPO    DME    SHP    OCR    ECR
2.33   2.33   1.67   2.83   3.17   2.00
2.17   2.17   2.50   2.83   3.50   2.17
2.33   2.83   2.67   2.17   3.17   2.83
            

When using this tool, please make sure to upload or input your data and select appropriate dependent and independent variables to perform the analysis.