
Summarise external facial-behaviour data quality
Source:R/face_quality_audit.R
summarize_gazepoint_face_quality.RdReturns the overview table from audit_gazepoint_face_quality(). The helper
accepts either an existing face-quality audit object or data that can be
audited directly.
Arguments
- data
A
gp3_face_quality_auditobject, a standardised face data frame, an unstandardised face data frame, or a CSV path.- ...
Additional arguments passed to
audit_gazepoint_face_quality()whendatais not already an audit object.
Examples
face <- data.frame(
frame = 1:2,
timestamp = c(0, 0.033),
confidence = c(0.95, 0.90),
success = c(1, 1)
)
summarize_gazepoint_face_quality(face)
#> # A tibble: 1 × 25
#> n_groups n_rows n_valid valid_percent n_invalid invalid_percent
#> <int> <int> <int> <dbl> <int> <dbl>
#> 1 1 2 2 100 0 0
#> # ℹ 19 more variables: n_unknown_validity <int>,
#> # unknown_validity_percent <dbl>, n_missing_confidence <int>,
#> # confidence_missing_percent <dbl>, mean_confidence <dbl>,
#> # median_confidence <dbl>, min_confidence <dbl>, max_confidence <dbl>,
#> # n_success <int>, success_percent <dbl>, n_duplicate_frames <int>,
#> # duplicate_frame_percent <dbl>, n_missing_time <int>,
#> # n_nonpositive_time_steps <int>, max_time_gap_sec <dbl>, …