Bins trip durations (in hours) into 1-hour intervals from 0 to 10 hours, with a final bin for trips 10+ hours. Returns counts and percentages for each bin.
Value
A data.frame with class c("creel_summary_trip_length",
"data.frame") and columns: trip_length_bin (ordered factor),
N (integer), percent (numeric, 1 decimal).
Bins: "[0,1)", "[1,2)", ..., "[9,10)", "10+".
Details
Interview-based summary, not pressure-weighted. This function
tabulates raw interview records without applying survey weighting by sampling
effort or effort stratum. For pressure-weighted extrapolated estimates, use
estimate_catch_rate or estimate_harvest_rate.
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_cws_rates(),
summarize_hws_rates(),
summarize_length_freq(),
summarize_refusals(),
summarize_successful_parties(),
summarize_trips(),
summary.creel_estimates(),
validate_creel_data(),
validate_design(),
validate_incomplete_trips(),
validation_report(),
write_estimates()
Examples
data(example_calendar)
data(example_interviews)
d <- creel_design(example_calendar, date = date, strata = day_type)
d <- add_interviews(d, 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%)
summarize_by_trip_length(d)
#> trip_length_bin N percent
#> 1 [0,1) 2 9.1
#> 2 [1,2) 5 22.7
#> 3 [2,3) 8 36.4
#> 4 [3,4) 4 18.2
#> 5 [4,5) 3 13.6
#> 6 [5,6) 0 0.0
#> 7 [6,7) 0 0.0
#> 8 [7,8) 0 0.0
#> 9 [8,9) 0 0.0
#> 10 [9,10) 0 0.0
#> 11 10+ 0 0.0