Plot a trace clustering — plot.outrank

Diagnostic plots for an outrank_clust object.

Usage

# S3 method for class 'outrank_clust'
plot(
  x,
  type = c("dendrogram", "eigenvalues", "profile"),
  attribute = NULL,
  ...
)

Arguments

x: An outrank_clust object from cluster_traces().
type: One of "dendrogram" (the hierarchical tree; built on as.dist(1 - S) when the clustering was spectral), "eigenvalues" (the smallest normalized-Laplacian eigenvalues), or "profile" (the distribution of a case attribute across clusters).
attribute: For type = "profile", the name of a case attribute carried by the underlying sim.
...: Passed to the underlying plotting call.

Value

x, invisibly.

Examples

m <- matrix(0.1, 6, 6); m[1:3, 1:3] <- 0.9; m[4:6, 4:6] <- 0.9
diag(m) <- 1; dimnames(m) <- list(1:6, 1:6)
crit <- criterion(m, "similarity", indifference = 0.3, similarity = 0.95)
tr <- as_traces(data.frame(case = as.character(1:6), act = "x",
                           ts = as.POSIXct("2020-01-01")),
                "case", "act", "ts")
clust <- cluster_traces(outrank_similarity(tr, crit), k = 2, seed = 1)
plot(clust, type = "eigenvalues")