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replicate swo function and generate input sample sizes

Source: R/swo_sim.R
swo_sim.Rd

replicate swo function and generate input sample sizes

Usage

swo_sim(
  iters = 1,
  lfreq_data,
  specimen_data,
  cpue_data,
  strata_data,
  yrs = NULL,
  strata = FALSE,
  boot_hauls = FALSE,
  boot_lengths = FALSE,
  boot_ages = FALSE,
  length_samples = NULL,
  age_samples = NULL,
  sexlen_samples = NULL,
  save = NULL,
  write_interm = FALSE,
  region = NULL
)

Arguments

iters

number of iterations (500 recommended)

lfreq_data

input dataframe

specimen_data

input dataframe

cpue_data

input dataframe

strata_data

input dataframe

yrs

any year filter >= (default = NULL)

strata

switch for regional or by strata (default = FALSE)

boot_hauls

resample hauls w/replacement (default = FALSE)

boot_lengths

resample lengths w/replacement (default = FALSE)

boot_ages

resample ages w/replacement (default = FALSE)

length_samples

sample size by length (default = NULL)

age_samples

proportion of sample size by age (default = NULL)

sexlen_samples

sample size by sex-length (default = NULL)

save

name to save a file

write_interm

save the intermediate age/length comps, the new "unsexed/unsampled" samples, and original length/age pop'n ests

region

region will create a folder and place results in said folder

Value

effective sample sizes and imput sample sizes

Examples

if (FALSE) {
swo_sim(iters=500, lfreq_data, specimen_data, cpue_data, strata_data, yrs = 2015,
                   strata = FALSE, boot_hauls = TRUE, boot_lengths = TRUE, boot_ages = FALSE,
                  length_samples = NULL, age_samples = NULL, sexlen_samples = NULL, save = "test", 
                   write_interm = FALSE, region = "goa")
}