plot_results: Plot data arising from cv.multivar.

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

Plot data arising from cv.multivar.

Description

Plot data arising from cv.multivar.

Usage

plot_results(
  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

sim1  <- multivar_sim(
  k = 2,  # individuals
  d = 3,  # number of variables
  n = 20, # number of timepoints
  prop_fill_com = 0.1, # proportion of paths common
  prop_fill_ind = 0.1, # proportion of paths unique
  lb = 0.1,  # lower bound on coefficient magnitude
  ub = 0.9,  # upper bound on coefficient magnitude
  sigma = diag(1,3) # noise
)

model1 <- constructModel(data = sim1$data, weightest = "ols")
fit1 <- cv.multivar(model1)
plot_results(fit1, plot_type = "common")

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