Optionally run a NeuroKit2 EDA cross-check — run_gazepoint_neurokit_eda

Optionally calls Python/NeuroKit2 on prepared EDA input. By default, execute = FALSE, so no external dependency is required.

Usage

run_gazepoint_neurokit_eda_crosscheck(
  data,
  eda_col = "GSR_US",
  time_col = NULL,
  group_cols = NULL,
  sampling_rate = NULL,
  execute = FALSE,
  python = "python",
  output_dir = tempdir(),
  prefix = "gazepoint_neurokit_crosscheck",
  keep_files = FALSE
)

Arguments

data: A Gazepoint biometric data frame or gazepoint_neurokit_eda_input object.
eda_col: EDA/GSR signal column, used when data is a data frame.
time_col: Optional time/counter column.
group_cols: Optional grouping columns.
sampling_rate: Sampling rate in Hz required for NeuroKit2 execution.
execute: Logical. If FALSE, only prepare input and return skipped status.
python: Python executable.
output_dir: Directory for temporary/input/output files.
prefix: File prefix.
keep_files: Logical. If FALSE, temporary files produced during execution may be removed.

Value

A list with overview, prepared_input, crosscheck_summary, manifest, and settings.