This function computes regression between pair of centrality measures to show more details of association among them.
visualize.association(x, y, scale = TRUE)a vector containing a centrality measure as independent variable
a vector containing a centrality measure as dependent variable
Whether the centrality values should be scaled or not
The regression plot, and the values resulted by the regression process.
This function applies regression analysis on two different centrality values in order to find out the corresponding association between them. Regression analysis is a kind of statitiscal method for approximation the association between variables.It asserts that the value of dependent variable changes when the value of independent variable varies.
CHAMBERS, & M., J. (1992). Statistical Models in S. Wadsworth. Pacific Grove, California. Retrieved from
Wilkinson, G. N., & Rogers, C. E. (1973). Symbolic Description of Factorial Models for Analysis of Variance. Applied Statistics, 22(3), 392.