network_plot {corrr} | R Documentation |
Network plot of a correlation data frame
Description
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.
Usage
network_plot(
rdf,
min_cor = 0.3,
legend = c("full", "range", "none"),
colours = c("indianred2", "white", "skyblue1"),
repel = TRUE,
curved = TRUE,
colors
)
Arguments
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
|
Examples
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")