gseg1_data: Single-Change Graph Scan from Data or Dissimilarities

In gSeg: Graph-Based Change-Point Detection (g-Segmentation)

Single-Change Graph Scan from Data or Dissimilarities

Description

Constructs a k-MST and applies the single-change scan.

Usage

gseg1_data(x = NULL, dissimilarity = NULL, k = NULL,
  statistics = "m", ...)

Arguments

x	Optional data matrix with observations in rows.
dissimilarity	Optional square dissimilarity matrix or a dist object. Supply exactly one of x and dissimilarity.
k	Number of complete MST layers. The default is floor(sqrt(N)); the largest allowed value is floor(N/2).
statistics	Statistics passed to gseg1. The default reports MET only; use "g" to request GET or "all" for all historical statistics.
...	Further arguments passed to gseg1.

Value

The result from gseg1, with the constructed graph and realized k added.

See Also

gseg1, gseg2_data, gseg_kmst

Examples

set.seed(1)
x <- matrix(rnorm(60), nrow = 20)
ans <- gseg1_data(x = x, pval.appr = FALSE)
names(ans$scanZ)

gSeg documentation built on Sept. 9, 2026, 5:07 p.m.