prepare_multimodal_irt_data: Prepare a canonical multimodal person-item-trial measurement...

In eyeprocess: Harmonize Eye-Tracking, Pupillometry, Biometrics, and Psychometric Process Data

Prepare a canonical multimodal person-item-trial measurement object

Description

Creates a loss-aware person-item-trial table for response, response time, gaze, and pupil channels while retaining references to optional sample-level or sequence payloads. No time series are silently aggregated.

Usage

prepare_multimodal_irt_data(
  data,
  person,
  item,
  trial = NULL,
  response = NULL,
  rt = NULL,
  gaze = NULL,
  pupil = NULL,
  quality = character(),
  device = NULL,
  payloads = list(),
  provenance = list()
)

Arguments

data	A data.frame containing one row per intended person-item-trial.
person, item, trial	Column names identifying the measurement keys.
response, rt, gaze, pupil	Optional column names for channel summaries.
quality	Optional character vector of quality-field names.
device	Optional list or data.frame of device metadata.
payloads	Named list of sample-level/sequence payloads.
provenance	Optional provenance list.

Value

An 'eye_multimodal_measurement' object.

eyeprocess documentation built on Sept. 28, 2026, 5:08 p.m.