Bootstrap data sources to replicate bottom trawl conditional age-at-length.
srvy_iss_caal(
iters = 1,
specimen_data,
cpue_data,
yrs = NULL,
bin = 1,
boot_hauls = FALSE,
boot_ages = FALSE,
al_var = FALSE,
al_var_ann = FALSE,
age_err = FALSE,
age_samples = NULL,
plus_len = NULL,
plus_age = NULL,
region = "goa",
save_interm = FALSE,
save_stats = FALSE,
save
)
number of iterations (min of 500 recommended for full run)
age-length specimen input dataframe
catch-per-unit effort input dataframe
any year filter >= (default = NULL)
bin size (default = 1 cm), also can use custom length bins following ss3 bin convention
Boolean. Resample hauls w/replacement? (default = FALSE)
Boolean. Resample ages w/replacement? (default = FALSE)
Boolean. Include age-length variability in resampled age data? (default = FALSE)
Boolean. Resample age-length variability annually or pooled across years? (default = FALSE)
Boolean. Include ageing error in resampled age data? (default = FALSE)
If set at a value, tests reductions (and increases) in survey-level number of ages collected. To test, set at a proportion of ages collected, i.e., 0.8 or 1.2 (default = NULL)
If set at a value, computes length expansion with a plus-length group (default = FALSE)
If set at a value, computes age expansion with a plus-age group (default = FALSE)
Region will create a folder and place results in said folder. (default = 'goa')
Boolean. Save the intermediate results: resampled age/length comps and realized sample size per iteration? (default = FALSE)
Boolean. Save other statistics: base age/length comps without resampling, mean length-at-age, bootstrap bias? (default = FALSE)
Name to attach to and identify output files.
Dataframe of input sample size by year, species (using RACE species codes), sex (0 - combined sex, 1 - males, 2 - females; all with short description IDs in sex_desc column), and length for conditional age-at-length (output saved with 'iss_caal' in file name). For comparison, nominal sample size ('nss' - the number of age-length samples actually taken) is included. Will also produce other dataframes if desired (see save_intern and save_stats argument descriptions).