visualize_correlations {CINNA} | R Documentation |
This function draw correlation plot between pair of centrality measures
visualize_correlations(x, scale = TRUE, method = "pearson")
x |
a list indicating calculated centrality measures |
scale |
Whether the centrality values should be scaled or not(default=TRUE) |
method |
a character string describing the type of correlation coefficient (or covariance) to be computed. The proper values are "pearson", "kendall", or "spearman". (default="pearson") |
This function illustrates pairwise correlation plot of computed centrality measures. The names of centralities shown in the result plot is abbreviated and compelete names can be seen in "proper_centralities" function. Colors from red to blue indicate the intensity of correlation value. If two centrality measures have an inverse relationship then their correspnding color in plot have to be red and vice versa.
The pairwise correlation plot
Minoo Ashtiani, Mehdi Mirzaie, Mohieddin Jafari