Multiplies per-trip effort (hours) by party size (number of anglers) to produce angler-hours. This converts party-level effort records to individual-angler units, which are required for CPUE and harvest-rate computations.
This function can be called standalone on a raw data frame or is called
internally by add_interviews when constructing the design object.
Arguments
- data
A data frame containing the interview records.
- effort
Tidy selector for the effort column (numeric, hours per trip).
- n_anglers
Number of anglers in the party. Either a bare column name (e.g.
n_anglers = party_size) or a single positive number stating a constant party size (e.g.n_anglers = 1for individual-level interviews). A bare number is read as a party size, not as a tidyselect column position. Values must be positive and finite.
Value
The input data frame with an added .angler_effort column
(numeric, angler-hours). Existing columns are preserved.
See also
compute_effort(), add_interviews()
Other "Survey Design":
add_catch(),
add_counts(),
add_interviews(),
add_lengths(),
add_sections(),
as_creel_svydesign(),
as_hybrid_svydesign(),
compute_effort(),
creel_design(),
creel_schema(),
creel_vocabulary(),
derive_angler_count(),
est_effort_camera(),
impute_camera_counts(),
mean_party_size(),
prep_counts_boat_party(),
prep_counts_daily_effort(),
prep_interview_catch(),
prep_interviews_trips(),
validate_creel_schema()
Examples
parties <- data.frame(effort = c(2.0, 3.0), n_anglers = c(2L, 3L))
compute_angler_effort(parties, effort, n_anglers)
#> effort n_anglers .angler_effort
#> 1 2 2 4
#> 2 3 3 9