PRINT Subcommand

You can set custom values to the following parameters in the PRINT subcommand.

DETAILS

The Details option displays a table with essential measures such as the number of observations (N), mean, standard deviation (SD), minimum, and maximum values for each variable. These statistics provide a comprehensive overview of the dataset, allowing for a better understanding of the distributions and characteristics of the variables being compared.

DISTCORRCOEFF

DISTCORRCOEFF denotes the Distance Correalation Coeffcients option. It generates a table that shows the distance correlation coefficients that are computed for the analysis. The Number of Replicates (R) indicates the number of replicates (or permutations if opted) used in the analysis. The column dCor presents the distance correlation coefficient between the variables, and the column Sig. indicates the significance level (p-value) associated with the computed correlation coefficient.

CORREST

CORREST denotes the Distance Covariance Estimates option. It provides table for the distance covariance (dCov), distance correlation (dCor), and the variance of each variable (dVar(X) and dVar(Y)) along with the 95% confidence interval upper and lower limits. These estimates help assess the relationships and dependencies between the variables being analyzed.

DISTVAR

DISTVAR denotes the Distance Metrics and Significance Estimates option. It generates a table that displays the estimates for variable pairs. It includes distance covariance (dCov), distance correlation (dCor), the lower and upper bounds of the 95% confidence interval, distance variances for each variable, and the associated significance values (Sig.). These estimates are essential for understanding the relationships and dependencies among the variables under consideration. This requires permutation.

DISTMATRIX

DISTMATRIX denoted the Distance Matrix option. It generates a table that displays the distance matrix for single-dimensional data (For example, consider the variable Age). The distances between each pair of observations are represented, with diagonal elements that show zero distance (distance to itself). This matrix provides a clear view of pairwise distances, allowing for a comprehensive analysis of the relationships among the variables.

SAVE

The SAVE option allows the user to save the generated distance matrix or matrices in case multiple variables that are selected from the DISTMATRIX table as a .sav file. You are prompted to specify the file name for saving the matrix.

/PRINT  DETAILS  DISTCORRCOEFF  CORREST  DISTVAR  DISTMATRIX(CONFIGURE=Variable1 variable2)