Counts the number of interviews in each day type stratum (e.g., weekday,
weekend) within each calendar month. Day type is taken from the first
strata column (design$strata_cols[1]), which is always present
after creel_design is called.
Value
A data.frame with class c("creel_summary_day_type",
"data.frame") and columns: month, day_type, N,
percent.
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_method(),
summarize_by_species_sought(),
summarize_by_trip_length(),
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
)
#> 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_day_type(d)
#> month day_type N percent
#> 1 June weekday 13 59.1
#> 2 June weekend 9 40.9