plot_sim: Plot data arising from multivar_sim.

In multivar: Penalized Estimation of Multiple-Subject Vector Autoregressive (multi-VAR) Models

Plot data arising from multivar_sim.

Description

Plot data arising from multivar_sim.

Usage

plot_sim(
  x,
  plot_type = "common",
  facet_ncol = 3,
  datasets = "all",
  ub = 1,
  lb = -1
)

Arguments

x	Object. An object returned by multivar_sim.
plot_type	Character. User can specify "common" to plot the common effects matrix, "unique" to plot the unique effects matrix, or "total" to plot the total effects matrix.
facet_ncol	Numeric. Number of columns to use in the "unique" or "total" effects plot.
datasets	Numeric. A vector containing the index of datasets to plot. Default is "all".
ub	Numeric. Upper bound on coefficient values for heatmap index. Default is 1.
lb	Numeric. Lower bound on coefficient values for heatmap index. Default is -1.

Examples

k <- 3
d <- 5
n <- 50
prop_fill_com <- .2
prop_fill_ind <- .2
lb <- 0.1
ub <- 0.7
sigma <- diag(0.1,d)
sim <- multivar_sim(k, d, n, prop_fill_com, prop_fill_ind, lb, ub,sigma)
plot_sim(sim, plot_type = "common")

multivar documentation built on May 28, 2022, 1:08 a.m.