plot.net_clustering: Plot Sequence Clustering Results

In Nestimate: Network Estimation, Bootstrap, and Higher-Order Analysis

Plot Sequence Clustering Results

Description

Plot Sequence Clustering Results

Usage

## S3 method for class 'net_clustering'
plot(x, type = c("silhouette", "mds", "heatmap", "predictors"), ...)

Arguments

x	A net_clustering object.
type	Character. Plot type: "silhouette" (per-observation silhouette bars), "mds" (2D MDS projection), or "heatmap" (distance matrix heatmap ordered by cluster). Default: "silhouette".
...	Additional arguments (currently unused).

Value

A ggplot object (invisibly).

Examples

seqs <- data.frame(V1 = c("A","B","C","A","B"), V2 = c("B","C","A","B","A"),
                   V3 = c("C","A","B","C","B"))
cl <- build_clusters(seqs, k = 2)
plot(cl, type = "silhouette")

set.seed(1)
seqs <- data.frame(
  V1 = sample(c("A","B","C"), 20, TRUE),
  V2 = sample(c("A","B","C"), 20, TRUE),
  V3 = sample(c("A","B","C"), 20, TRUE)
)
cl <- build_clusters(seqs, k = 2)
plot(cl, type = "silhouette")

Nestimate documentation built on April 20, 2026, 5:06 p.m.