Cast a data frame to an anievent — as

Strict cast — the input must already be in canonical anievent shape: one row per bout or instant, with the columns channel, type, label, start, and stop. Identity columns travel via variables_what. An optional modifiers list-column may carry per-event modifier values (each cell a character vector, matching the BORIS export format).

Usage

as_anievent(
  data,
  metadata = list(),
  variables_what = NULL,
  variables_when = NULL
)

# S3 method for class 'anievent'
as_anievent(
  data,
  metadata = list(),
  variables_what = NULL,
  variables_when = NULL
)

# S3 method for class 'aniframe'
as_anievent(
  data,
  metadata = list(),
  variables_what = NULL,
  variables_when = NULL
)

# S3 method for class 'data.frame'
as_anievent(
  data,
  metadata = list(),
  variables_what = NULL,
  variables_when = NULL
)

Arguments

data: A data frame with the required columns.
metadata: Optional list of metadata.
variables_what: Character vector of identity columns. When NULL (default), auto-detected from a known list (model, individual, track, subject) — only those present in data are used. Pass an explicit value to use any other column name(s) as identity. An anievent with no identity column is permitted (e.g. a single-subject experiment).
variables_when: Character vector of temporal columns. When NULL (default), auto-detected from a known grouping list (observation, session, trial) and concatenated with the required temporal endpoints c("start", "stop"). Pass explicitly to use other names for the grouping context.

Value

An anievent object.

Details

To encode per-frame data (factor / logical / character columns) into the bout shape, use to_anievent() instead.