Attaches a sections registry to a creel_design object. Once sections are
registered, all subsequent calls to add_counts() and add_interviews()
validate that every row's section value matches a registered section name.
Unrecognised section values abort with an informative error identifying the
bad values and listing valid options.
add_sections() is optional for single-section surveys. Call it when your
survey covers multiple named sections and you want early detection of
mislabelled data (e.g. "NRTH" instead of "NORTH").
Usage
add_sections(
design,
sections,
section_col,
description_col = NULL,
area_col = NULL,
shoreline_col = NULL
)Arguments
- design
A
creel_designobject (created withcreel_design()).- sections
A data frame with one row per section. Must contain the column identified by
section_col. Optional metadata columns are identified bydescription_col,area_col, andshoreline_col.- section_col
Tidy selector for the column in
sectionsthat holds section names or IDs. Must be character or factor. No duplicate values are permitted.- description_col
Optional tidy selector for a free-text description column (e.g. "North inlet", "Main basin"). Stored for reporting only.
- area_col
Optional tidy selector for a surface area column (numeric, ha). All values must be strictly positive. Stored now; used in v0.8.0 aerial survey estimation.
- shoreline_col
Optional tidy selector for a shoreline length column (numeric, km). All values must be strictly positive. Stored now; used in v0.8.0 aerial survey estimation.
Value
A new creel_design object with $sections and $section_col
populated. The input design is not modified.
Validation performed by downstream functions
After add_sections() is called, add_counts() and add_interviews()
check that every row's section value is present in
design$sections[[design$section_col]]. An unrecognised value produces a
cli_abort() naming the bad values and listing valid section names.
See also
creel_design(), add_counts(), add_interviews()
Other "Survey Design":
add_catch(),
add_counts(),
add_interviews(),
add_lengths(),
as_hybrid_svydesign(),
as_survey_design(),
compute_angler_effort(),
compute_effort(),
creel_design(),
creel_schema(),
est_effort_camera(),
prep_counts_boat_party(),
prep_counts_daily_effort(),
prep_interview_catch(),
prep_interviews_trips(),
validate_creel_schema()
Examples
cal <- data.frame(
date = as.Date(c(
"2024-06-01", "2024-06-02",
"2024-06-03", "2024-06-04"
)),
day_type = c("weekday", "weekday", "weekend", "weekend")
)
design <- creel_design(cal, date = date, strata = day_type)
my_sections <- data.frame(
section = c("North Inlet", "Main Basin", "South Outlet"),
description = c("Tributary inlet", "Open water", "Dam outlet"),
area_ha = c(45.0, 820.0, 12.0),
shoreline_km = c(8.2, 62.1, 3.4)
)
design2 <- add_sections(design, my_sections,
section_col = section,
description_col = description,
area_col = area_ha,
shoreline_col = shoreline_km
)
