cor_network: Correlation network plot.

In DPI: The Directed Prediction Index

Correlation network plot.

Description

Correlation network plot.

Usage

cor_network(
  data,
  index = c("cor", "pcor"),
  show.value = TRUE,
  show.insig = FALSE,
  show.cutoff = FALSE,
  faded = FALSE,
  text.size = 1.2,
  node.group = NULL,
  node.color = NULL,
  edge.color.pos = "#0571B0",
  edge.color.neg = "#CA0020",
  edge.color.insig = "#EEEEEEEE",
  title = NULL,
  file = NULL,
  width = 6,
  height = 4,
  dpi = 500,
  ...
)

Arguments

data	Data.
index	Type of graph: "cor" (raw correlation network) or "pcor" (partial correlation network). Defaults to "cor".
show.value	Show correlation coefficients and their significance on edges. Defaults to TRUE.
show.insig	Show edges with insignificant correlations (p > 0.05). Defaults to FALSE. To change significance level, please set the alpha parameter (defaults to alpha=0.05).
show.cutoff	Show cut-off values of correlations. Defaults to FALSE.
faded	Transparency of edges according to the effect size of correlation. Defaults to FALSE.
text.size	Scalar on the font size of variable labels. Defaults to 1.2.
node.group	A list that indicates which nodes belong together, with each element of list as a vector of integers identifying the column numbers of variables that belong together.
node.color	A vector with a color for each element in node.group, or a color for each node.
edge.color.pos	Color for (significant) positive correlations. Defaults to "#0571B0" (blue in ColorBrewer's RdBu palette).
edge.color.neg	Color for (significant) negative correlations. Defaults to "#CA0020" (red in ColorBrewer's RdBu palette).
edge.color.insig	Color for insignificant correlations. Defaults to "#EEEEEEEE" (transparent grey).
title	Plot title.
file	File name of saved plot (".png" or ".pdf").
width, height	Width and height (in inches) of saved plot. Defaults to 6 and 4.
dpi	Dots per inch (figure resolution). Defaults to 500.
...	Other parameters passed to qgraph.

Value

Invisibly return a qgraph object.

Examples

cor_network(airquality)
cor_network(airquality, show.insig=TRUE)

DPI documentation built on June 18, 2025, 9:08 a.m.