Flag invalid, missing, implausible, and outlying Gazepoint pupil samples
Source:R/flag_gazepoint_pupil.R
flag_gazepoint_pupil.RdAdds pupil-quality flags to a Gazepoint master sample-level table created by
as_gazepoint_master() or create_gazepoint_master(). This function is
intended as a preprocessing step before interpolation, filtering, baseline
correction, or pupil-based modelling.
Usage
flag_gazepoint_pupil(
master,
pupil_col = NULL,
time_col = NULL,
missing_pupil_col = NULL,
group_cols = c("subject", "media_id"),
min_pupil = 0,
max_pupil = Inf,
outlier_k = 1.5,
flag_iqr_outliers = TRUE
)Arguments
- master
A Gazepoint master sample-level table.
- pupil_col
Optional name of the pupil column to flag. If
NULL, the function detects one ofmean_pupil,pupil,pupil_raw,left_pupil, orright_pupil.- time_col
Optional name of the time column. If
NULL, the function detects one oftime_ms,time,time_orig, ortime_orig_ms.- missing_pupil_col
Optional name of the missing-pupil flag column. If
NULL, the function usesmissing_pupilwhen available.- group_cols
Character vector of grouping columns used for IQR-based outlier detection. Defaults to
c("subject", "media_id")using internally standardised names. Usecharacter(0)for global outlier detection.- min_pupil
Minimum plausible pupil value. Defaults to
0.- max_pupil
Maximum plausible pupil value. Defaults to
Inf. Use narrower values, such as1and9, only when the pupil column is known to be measured in millimetres.- outlier_k
Multiplier for IQR-based outlier detection. Defaults to
1.5.- flag_iqr_outliers
Logical. If
TRUE, IQR-based outliers are flagged. Defaults toTRUE.
Examples
if (FALSE) { # \dontrun{
flagged <- flag_gazepoint_pupil(master)
dplyr::count(flagged, pupil_flag_reason)
} # }