plot_lvm: Plot Latent Variable Models

In InterconectaR: Psychological Network Analysis and Psychometric Insights

Plot Latent Variable Models

Description

Creates visualizations for psychonetrics latent variable models.

Usage

plot_lvm(
  x,
  plot = c("network", "loadings", "residcors", "residpcors", "latents"),
  ask,
  rotation = promax,
  vsize = c(5, 5),
  palette = "Set1",
  ...
)

Arguments

x	A psychonetrics model object.
plot	Types of plots to create (network, loadings, residcors, residpcors, latents).
ask	Logical, whether to ask before each plot.
rotation	Rotation function (default promax).
vsize	Node size vector (default c(5, 5)).
palette	RColorBrewer palette name (default "Set1").
...	Additional arguments passed to qgraph.

Value

Invisible list of qgraph objects.

Examples

if (requireNamespace("psychonetrics", quietly = TRUE)) {
  set.seed(123)
  n <- 300
  f1 <- rnorm(n)
  f2 <- 0.3 * f1 + rnorm(n)
  items <- data.frame(
    sapply(1:4, function(i) 0.7 * f1 + rnorm(n, 0, 0.7)),
    sapply(1:4, function(i) 0.7 * f2 + rnorm(n, 0, 0.7))
  )
  names(items) <- c(paste0("A", 1:4), paste0("B", 1:4))

  lambda <- matrix(0, 8, 2)
  lambda[1:4, 1] <- 1
  lambda[5:8, 2] <- 1
  mod <- psychonetrics::lvm(items, lambda = lambda, verbose = FALSE)
  mod <- psychonetrics::runmodel(mod, verbose = FALSE)
  plot_lvm(mod, plot = c("loadings", "latents"))
}

InterconectaR documentation built on Oct. 16, 2026, 1:06 a.m.