Audit AOI window denominators before binomial modelling
Source:R/audit_gazepoint_aoi_window_denominators.R
audit_gazepoint_aoi_window_denominators.RdAudit AOI-window sample denominators before confirmatory binomial or
logistic mixed-effects modelling. The function is designed for output from
summarise_gazepoint_aoi_windows().
Usage
audit_gazepoint_aoi_window_denominators(
data,
window_col = "window_label",
window_start_col = "window_start_ms",
window_end_col = "window_end_ms",
denominator_col = "n_valid_denominator_samples",
total_col = "n_window_samples",
target_col = "n_target_samples",
condition_col = "condition",
group_cols = NULL,
min_denominator_samples = 5,
min_valid_denominator_prop = 0.7,
max_denominator_cv = 0.25,
max_condition_ratio = 2
)Arguments
- data
AOI-window summary data.
- window_col
Name of the AOI-window label column.
- window_start_col
Optional window-start column.
- window_end_col
Optional window-end column.
- denominator_col
Name of the denominator column to audit.
- total_col
Name of the total window-sample column.
- target_col
Name of the target-success count column.
- condition_col
Optional condition column.
- group_cols
Optional grouping columns for row-level audit context.
- min_denominator_samples
Minimum acceptable denominator count.
- min_valid_denominator_prop
Minimum acceptable valid-denominator proportion relative to total window samples.
- max_denominator_cv
Maximum acceptable denominator coefficient of variation within each window.
- max_condition_ratio
Maximum acceptable ratio between the largest and smallest mean denominator across conditions within a window.