visualize_association {CINNA}R Documentation

Pairwise association plot between centrality measures

Description

This function computes regression between pair of centrality measures to show more details of association among them.

Usage

visualize_association(x, y, scale = TRUE)

Arguments

x

a vector containing a centrality measure as independent variable

y

a vector containing a centrality measure as dependent variable

scale

Whether the centrality values should be scaled or not

Details

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.

Value

The regression plot, and the values resulted by the regression process.

Author(s)

Minoo Ashtiani, Mehdi Mirzaie, Mohieddin Jafari

References

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.


[Package CINNA version 1.1.55 Index]