Nothing
## ----setup, include=FALSE-----------------------------------------------------
knitr::opts_chunk$set(collapse = TRUE, comment = "#>")
## ----eval=FALSE---------------------------------------------------------------
# corpus <- init_vendor_corpus("private/vendor-corpus")
#
# register_validation_case(
# corpus_path = corpus,
# source_path = "private/exports/tobii-study-01",
# vendor = "Tobii",
# device_model = "Tobii Pro Spectrum",
# software_name = "Tobii Pro Lab",
# software_version = "1.x",
# export_profile = "gaze data + events",
# sampling_rate_hz = 300,
# coordinate_system = "display area normalized",
# timebase = "microseconds",
# event_semantics = "stimulus and trial markers",
# ocular_structure = "binocular",
# missingness_convention = "vendor validity codes",
# vendor_fixations = "exported fixation filter retained separately",
# package_transformations = "canonical renaming and unit normalization",
# unsupported_fields = "declared explicitly",
# independent_source = TRUE,
# licence_reviewed = TRUE,
# redistribution_allowed = FALSE,
# support_level = "empirically-validated",
# mode = "reference"
# )
## ----eval=FALSE---------------------------------------------------------------
# fingerprint_validation_case("private/exports/tobii-study-01")
# redact_validation_case(corpus, "tobii-study-01", remove_columns = c("participant_name"))
#
# register_vendor_semantics(
# corpus,
# data.frame(
# vendor = "tobii",
# native_field = "Gaze point X",
# native_meaning = "horizontal display-area coordinate",
# canonical_table = "gaze_samples",
# canonical_field = "x",
# unit = "normalized",
# transformation = "identity",
# loss_risk = "none",
# evidence_case_id = "tobii-study-01"
# )
# )
#
# compare_vendor_semantics(corpus)
## ----eval=FALSE---------------------------------------------------------------
# build_compatibility_matrix(corpus, min_empirical_cases = 2L)
# audit_vendor_field_coverage(corpus)
# audit_roundtrip_loss(original, roundtrip)
# write_vendor_case_report(corpus, "tobii-study-01")
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