A small set of individual fish age records (one row per aged fish) linked to
example_interviews. Suitable for use with
add_ages.
Format
A data frame with 18 rows and 4 columns:
- interview_id
Integer interview identifier. Foreign key to
example_interviews$interview_id.- species
Character. Species name:
"walleye","bass", or"panfish".- age
Integer. Estimated age in years (0-6). Each row is a single aged fish.
- age_type
Character. Fish fate:
"harvest"or"release".
See also
example_interviews, example_lengths,
add_ages
Other "Example Datasets":
creel_counts_toy,
creel_interviews_toy,
example_aerial_counts,
example_aerial_glmm_counts,
example_aerial_interviews,
example_calendar,
example_camera_counts,
example_camera_interviews,
example_camera_timestamps,
example_catch,
example_counts,
example_ice_interviews,
example_ice_sampling_frame,
example_interviews,
example_lengths,
example_sections_calendar,
example_sections_counts,
example_sections_interviews
Examples
data(example_calendar)
data(example_interviews)
data(example_ages)
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
)
#> Warning: ! No `n_anglers` provided — assuming 1 angler per interview.
#> ℹ Pass `n_anglers = <column>` to use actual party sizes for angler-hour
#> normalization.
#> ℹ If the interviews really are one angler each, pass `n_anglers = 1` to state
#> that and silence this warning.
#> ℹ Added 22 interviews: 17 complete (77%), 5 incomplete (23%)
design <- add_ages(design, example_ages,
age_uid = interview_id,
interview_uid = interview_id,
species = species,
age = age,
age_type = age_type
)
print(design)
#>
#> ── Creel Survey Design ─────────────────────────────────────────────────────────
#> Type: "instantaneous"
#> Date column: date
#> Strata: day_type
#> Calendar: 14 days (2024-06-01 to 2024-06-14)
#> day_type: 2 levels
#> Counts: "none"
#> Interviews: 22 observations
#> Type: "access"
#> Catch: catch_total
#> Effort: hours_fished
#> Harvest: catch_kept
#> Trip status: 17 complete, 5 incomplete
#> Survey: <survey.design2> (constructed)
#> Sections: "none"