network_plot | R Documentation |
Output a network plot of a correlation data frame in which variables that are more highly correlated appear closer together and are joined by stronger paths. Paths are also colored by their sign (blue for positive and red for negative). The proximity of the points are determined using multidimensional clustering.
network_plot( rdf, min_cor = 0.3, legend = c("full", "range", "none"), colours = c("indianred2", "white", "skyblue1"), repel = TRUE, curved = TRUE, colors )
rdf |
Correlation data frame (see |
min_cor |
Number from 0 to 1 indicating the minimum value of correlations (in absolute terms) to plot. |
legend |
How should the colors and legend for the correlation values be
displayed? The options are "full" (the default) for -1 to 1 with a legend,
"range" for the range of correlation values in |
colours, colors |
Vector of colors to use for n-color gradient. |
repel |
Should variable labels repel each other? If TRUE, text is added
via |
curved |
Should the paths be curved? If TRUE, paths are added via
|
x <- correlate(mtcars) network_plot(x) network_plot(x, min_cor = .1) network_plot(x, min_cor = .6) network_plot(x, min_cor = .2, colors = c("red", "green"), legend = "full") network_plot(x, min_cor = .2, colors = c("red", "green"), legend = "range")
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.