Comparison table — ggcpt_compare_table • ggchangepoint

Returns a tidy tibble combining the results of multiple detectors on the same series.

Usage

ggcpt_compare_table(
  x,
  methods = c("pelt", "binseg", "amoc"),
  change_in = "mean",
  ...
)

Arguments

x: A numeric vector (the data series). A one-column matrix or data frame is accepted; wider input is refused, because these detectors are univariate and flattening the columns would invent a changepoint at every seam. Use cpt_batch() for a panel of series.
methods: Character vector of method names.
change_in: What to detect change in.
...: Additional arguments passed to each detector.

Value

A tibble with columns method, cp, cp_value.

See also

Other plotting: ggcpt_eval(), ggcpt_interactive(), ggcptplot(), ggecpplot()

Examples

set.seed(2026)
x <- c(rnorm(100), rnorm(100, 5))
ggcpt_compare_table(x, methods = c("pelt", "binseg"))
#> # A tibble: 2 × 3
#>   method    cp cp_value
#>   <chr>  <int>    <dbl>
#> 1 pelt     100    0.369
#> 2 binseg   100    0.369