Create a joint matrix + graph correlation figure — plot_score_cor

This function combines a correlation matrix and a graph visualisation of correlations into a single plot using the patchwork package. While the two underlying functions (plot_score_cor_matrix() and plot_score_cor_graph()) are fairly generic, this function is tailored for the study data from the article. It is recommended to use it together with the other package functions (see examples).

Usage

plot_score_cor_joint(
  correlations,
  size_axis = 6,
  matrix_text = 5,
  shape = 21,
  stroke = 0.1,
  node_size = 14,
  node_text_size = 5,
  label_text_size = 2
)

Arguments

correlations: A data frame containing the correlations, typically the output of correlate_vars().
size_axis: Size of the axis text in points. Default is 6.
matrix_text: Size of the text in the correlation matrix. Default is 5.
shape: Shape of the nodes in the graph. Default is 21 (circle).
stroke: Stroke width of the nodes. Default is 0.1.
node_size: Size of the nodes in the graph. Default is 14.
node_text_size: Size of the text labels on the nodes. Default is 5.
label_text_size: Size of the text labels on the edges. Default is 2.

Value

A ggplot2 object representing the joint plot of the correlation matrix and the graph.

Examples

study_data |> correlate_vars(partial = FALSE) |> plot_score_cor_joint()