Prepare Gazepoint SCR hurdle-model data — prepare_gazepoint_scr_hurdle_model

Converts SCR event-window summaries into model-ready data for two-part electrodermal-response analyses: a binary response/no-response component and a positive-amplitude component among response events.

Usage

prepare_gazepoint_scr_hurdle_model_data(
  scr_event_windows,
  response_col = "response_flag",
  amplitude_col = "scr_amplitude",
  latency_col = "scr_latency",
  rise_time_col = "scr_rise_time",
  recovery_time_col = "scr_recovery_time",
  predictor_cols = NULL,
  factor_cols = NULL,
  numeric_cols = NULL,
  group_cols = NULL,
  event_id_col = "event_id",
  amplitude_transform = c("none", "log", "log1p"),
  amplitude_offset = 1e-06,
  drop_missing_predictors = TRUE
)

Arguments

scr_event_windows: A gazepoint_scr_event_window_summary object returned by summarise_gazepoint_scr_event_windows(), or a data frame containing event-window SCR summaries.
response_col: Column containing the binary SCR response flag.
amplitude_col: Column containing SCR amplitude.
latency_col: Optional column containing SCR latency.
rise_time_col: Optional column containing SCR rise time.
recovery_time_col: Optional column containing SCR recovery time.
predictor_cols: Optional fixed-effect predictor columns to include in generated formulas and complete-case checks.
factor_cols: Optional columns to coerce to factors.
numeric_cols: Optional columns to coerce to numeric.
group_cols: Optional grouping columns retained for random effects or clustered summaries.
event_id_col: Optional event identifier column.
amplitude_transform: Transformation for the positive-amplitude outcome: "none", "log", or "log1p".
amplitude_offset: Small positive offset used when amplitude_transform = "log".
drop_missing_predictors: Logical. If TRUE, model datasets are restricted to rows complete on outcome and predictor columns.

Value

A list with overview, response_model_data, amplitude_model_data, variable_summary, model_formulas, and settings.