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Stack synchrony vectors across subjects

Source: R/multi_subject.R
stack_synchrony.Rd

Combine the Kuramoto synchrony time series from a list of dynR_leida results into a tidy data frame with one row per timepoint per subject.

Usage

stack_synchrony(batch_result)

Arguments

batch_result

Named list of dynR_leida objects.

Value

A data frame with columns:

subject

Subject identifier.

timepoint

Timepoint index (within subject).

synchrony

Kuramoto R(t).

metastability

Subject-level metastability (constant within subject).

See also

batch_leida()

Examples

set.seed(4)
ts_list <- list(
  sub01 = matrix(rnorm(10 * 200), nrow = 10),
  sub02 = matrix(rnorm(10 * 200), nrow = 10)
)
results <- batch_leida(ts_list, filter = FALSE)
df_sync <- stack_synchrony(results)
head(df_sync)
#>         subject timepoint  synchrony metastability
#> sub01.1   sub01         1 0.18511952     0.1481606
#> sub01.2   sub01         2 0.14466531     0.1481606
#> sub01.3   sub01         3 0.05097755     0.1481606
#> sub01.4   sub01         4 0.18215059     0.1481606
#> sub01.5   sub01         5 0.18066710     0.1481606
#> sub01.6   sub01         6 0.13160931     0.1481606