plot.aomstats: Plotting Relational Event Network Statistics Trajectories

In remstats: Computes Statistics for Relational Event History Data

Plotting Relational Event Network Statistics Trajectories

Description

Generate line plots to visualize the trajectories of a specified effect in the sender model of a aomstats object.

Usage

## S3 method for class 'aomstats'
plot(x, effect, subset = NULL, ...)

Arguments

x	An object of class aomstats containing relational event network statistics.
effect	A character string specifying the name of the effect in 'x' or an integer indicating the index of the effect to be plotted.
subset	An optional vector specifying a subset of actors to be used for plotting. By default, a maximum of 5 unique actors are used for plotting.
...	Additional arguments passed to plot().

Details

This function creates line plots to illustrate the temporal trajectories of a specified effect in a relational event network, as captured in the sender model by a aomstats object. The 'effect' parameter allows users to choose a specific effect for visualization, either by providing the effect's name or its index within the 'aomstats' object. An optional 'subset' parameter enables users to focus on specific actors. If 'subset' is not specified, a default maximum of 5 unique actors is plotted. These actors are randomly selected to represent trajectories across the range of different endpoints for the effect (excluding zero).

Examples

library(remstats)
# Load data
data(history)
# Prepare data
reh <- remify::remify(edgelist = history[,1:3], model = "actor")
# Compute effects
stats <- remstats(reh, sender_effects = ~ outdegreeSender())
# Plot the 'outdegreeSender' trajectories 5 actors
plot(stats, effect = "outdegreeSender")
# Plot the 'outdegreeSender' trajectory for a specific actor
plot(stats, effect = "outdegreeSender", subset = 10)

remstats documentation built on May 29, 2024, 5:21 a.m.