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 = TRUE,
colours = c("indianred2", "white", "skyblue1"),
repel = TRUE,
curved = TRUE,
colors
)

## Arguments

rdf Correlation data frame (see correlate) or object that can be coerced to one (see as_cordf). Number from 0 to 1 indicating the minimum value of correlations (in absolute terms) to plot. Boolean indicating whether a legend mapping the colors to the correlations should be displayed. Vector of colors to use for n-color gradient. Should variable labels repel each other? If TRUE, text is added via geom_text_repel instead of geom_text Should the paths be curved? If TRUE, paths are added via geom_curve; if FALSE, via geom_segment

## Examples

x <- correlate(mtcars)
#>
#> Correlation method: 'pearson'
#> Missing treated using: 'pairwise.complete.obs'network_plot(x)
network_plot(x, min_cor = .1)
network_plot(x, min_cor = .6)
network_plot(x, min_cor = .7, colors = c("red", "green"), legend = TRUE)