Provides a diagnostic summary of trip completion status and duration statistics for interview data attached to a creel design. Useful for inspecting data quality before estimation.
Arguments
- design
A creel_design object with interviews attached via
add_interviews().
Value
A list (class "creel_trip_summary") with components:
- n_total
Total number of interviews
- n_complete
Number of complete trip interviews
- n_incomplete
Number of incomplete trip interviews
- pct_complete
Percentage of complete trips
- pct_incomplete
Percentage of incomplete trips
- duration_stats
Data frame with duration statistics by trip status
See also
Other "Reporting & Diagnostics":
adjust_nonresponse(),
check_completeness(),
compare_variance(),
flag_outliers(),
season_summary(),
standardize_species(),
summarize_by_angler_type(),
summarize_by_day_type(),
summarize_by_method(),
summarize_by_species_sought(),
summarize_by_trip_length(),
summarize_cws_rates(),
summarize_hws_rates(),
summarize_length_freq(),
summarize_refusals(),
summarize_successful_parties(),
summary.creel_estimates(),
validate_creel_data(),
validate_design(),
validate_incomplete_trips(),
validation_report(),
write_estimates()
Examples
data(example_calendar)
data(example_interviews)
design <- creel_design(example_calendar, date = date, strata = day_type)
design <- add_interviews(design, example_interviews,
catch = catch_total,
effort = hours_fished,
harvest = catch_kept,
trip_status = trip_status,
trip_duration = trip_duration
)
#> ℹ No `n_anglers` provided — assuming 1 angler per interview.
#> ℹ Pass `n_anglers = <column>` to use actual party sizes for angler-hour
#> normalization.
#> ℹ Added 22 interviews: 17 complete (77%), 5 incomplete (23%)
summary <- summarize_trips(design)
print(summary)
#> Trip Status Summary
#>
#> Total interviews: 22
#> Complete: 17 (77.3%)
#> Incomplete: 5 (22.7%)
#>
#> Duration (hours) by status:
#> complete: min=1, median=2.5, mean=2.68, max=4
#> incomplete: min=0.5, median=1, mean=1.05, max=1.5