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brainGraph (version 2.7.3)

plot_rich_norm: Plot normalized rich club coefficients against degree threshold

Description

Returns a ggplot object of a line plot of the normalized rich club coefficient. Optionally will include a shaded region demarcating the rich_core cutoff (if you supply a list of graph objects to the g argument).

Usage

plot_rich_norm(rich.dt, facet.by = c("density", "threshold"), densities,
  alpha = 0.05, fdr = TRUE, g = NULL, smooth = TRUE)

Arguments

rich.dt

A data.table with rich-club coefficients

facet.by

A character string indicating whether the variable of interest is "density" or "threshold" (e.g. with DTI data)

densities

A numeric vector of the densities to plot

alpha

The significance level (default: 0.05)

fdr

A logical, indicating whether or not to use the FDR-adjusted p-value for determining significance (default: TRUE)

g

A list (of lists) of igraph graph objects; required if you want to plot a shaded region demarcating the rich_core

smooth

Logical indicating whether or not to use stat_smooth when data from multiple subjects (per group) are present (default: TRUE). Ignored for group-level data.

Value

A ggplot object

See Also

Other Rich-club functions: RichClub, rich_club_attrs

Examples

Run this code
# NOT RUN {
plot_rich_norm(rich.dt, facet.by='density', densities[N:(N+1)], g=g)
# }

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