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)