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Term co-occurrence network plot

Source: R/plots.R
sframe_plot_cooccurrence_network.Rd

Plots a co_occurrence_network result's node table (term, frequency, cluster, x, y) as a network diagram: edges (from result$edges) as line segments underneath, nodes as points sized by term frequency and coloured by Louvain cluster, with term labels on the larger points only. Labelling every point on a dense network risks overlap chaos, so only the top 15 nodes by frequency are labelled; the full term list stays available in result$table.

Usage

sframe_plot_cooccurrence_network(result, palette = c("web", "print"))

Arguments

result

A co_occurrence_network result list from run_analysis_plan(), carrying table and edges.

palette

One of "web" or "print". See sframe_brand().

Value

A ggplot2 object, or NULL when the result carries no table.

Details

Clusters beyond the first 8 (ranked largest first) are folded into a single "Other" bucket rather than cycling or interpolating a new hue, per the dataviz skill's categorical-colour guidance; see .sframe_cluster_palette().

See also

run_analysis_plan()

Examples

# \donttest{
if (requireNamespace("ggplot2", quietly = TRUE) &&
    requireNamespace("igraph", quietly = TRUE)) {
  demo <- sframe_demo("open_text")
  res <- run_analysis_plan(demo$responses, demo$instrument)
  sframe_plot_cooccurrence_network(res$RQ6)
}
#> Warning: K=2 is equivalent to a unidimensional scaling model which you may prefer.

# }