Create a synthetic governed feature manifest

Usage

create_gazepoint_synthetic_manifest(
  outcome,
  predictors,
  participant_id = "participant_id",
  stimulus_id = "stimulus_id",
  trial_id = "trial_id"
)

Arguments

outcome: Name of the observed synthetic outcome.
predictors: Predictor names to declare.
participant_id: Participant identifier column.
stimulus_id: Stimulus identifier column.
trial_id: Trial identifier column.

Value

A gazepoint_feature_manifest produced by create_gazepoint_feature_manifest().

Examples

create_gazepoint_synthetic_manifest(
  outcome = "quality_status",
  predictors = c("tracking_ratio", "blink_rate", "gaze_dispersion")
)
#>           feature                     scientific_source
#> 1  tracking_ratio Deterministic synthetic demonstration
#> 2      blink_rate Deterministic synthetic demonstration
#> 3 gaze_dispersion Deterministic synthetic demonstration
#>               source_table                transformation availability_stage
#> 1 synthetic_trial_features Predeclared synthetic feature    during_exposure
#> 2 synthetic_trial_features Predeclared synthetic feature    during_exposure
#> 3 synthetic_trial_features Predeclared synthetic feature    during_exposure
#>   prediction_time_available outcome_derived post_outcome identifier
#> 1                      TRUE           FALSE        FALSE      FALSE
#> 2                      TRUE           FALSE        FALSE      FALSE
#> 3                      TRUE           FALSE        FALSE      FALSE
#>   preprocessing_scope fold_local_required
#> 1     resampling_fold                TRUE
#> 2     resampling_fold                TRUE
#> 3     resampling_fold                TRUE
#>                                                            reviewer_notes
#> 1 Outcome `quality_status` is explicitly observed and is not a predictor.
#> 2 Outcome `quality_status` is explicitly observed and is not a predictor.
#> 3 Outcome `quality_status` is explicitly observed and is not a predictor.