Sentence examples for between sets of variables from inspiring English sources

The linear canonical correlation analysis, allowing studying relations between sets of variables, was the main technique applied.

For the generation of the dendrogram, the RMSD (Root Mean Square Deviation) distance coefficient has been used to compare between sets of variables.

Canonical Correlation Analysis ("CCA", [ 36 ]) is a multivariate method to find correlation between sets of variables.

This highlights limitations of the correlation parameter as a metric for statistical dependence between sets of variables.

Hotelling (1936) developed Canonical Correlation Analysis (CCA) as a method for evaluating linear correlation between sets of variables [ 6].

A correlation of ρ = 0.68 (p-value = 0.007) was obtained between sets of variables in the first canonical solution.

All of these methods, however, are designed for use in a supervised context to measure the statistical significance of the association between sets of genomic variables and a phenotype variable.

We chose to use separate MANOVAs for analyses due to modest cell sizes and the lack of significant correlation between sets of dependent variables (i.e., psychosocial characteristics and reasons for living).

Results of this study were obtained by estimating multivariate relationships between two sets of variables, that is, between the indicators of efficiency of attention and general cognitive functioning and movement characteristics of stroke patients, showing the existence of correlation.

Canonical correlation analysis (CCA) is widely used to extract the correlated patterns between two sets of variables.

Put simply, if there is a strong relationship between two sets of variables (say a group of companies' sales growth in two different periods), plotting the points on a graph like the ones shown here produces a straight line.