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Generate observed data

Source: R/oem_sample.R
sample_data.Rd

Samples catch, effort, CPUE, survey index, length frequencies and biological samples from one or several operating models, for the chosen iterations, and returns them with the truth (answer key).

Usage

sample_data(om, oem, iters = 1:10, seed = 123)

sample_catch(om, oem, iters = 1:10)

sample_effort(om, oem, iters = 1:10)

sample_cpue(om, oem, iters = 1:10)

sample_survey(om, oem, iters = 1:10)

sample_lfd(om, oem, iters = 1:10)

sample_bio(om, oem, iters = 1:10)

Arguments

om

a floss_om or floss_oms (several species).

oem

oem_settings().

iters

iterations to sample (one dataset per iteration).

seed

base seed.

Value

an object of class floss_data: a list of data frames catch, effort, cpue, survey, lfd, bio, lhpars, truth, refpts, plus settings (fishery, species and sampling specs).

Details

Each data stream of each species uses its own reproducible random stream, so changing e.g. the biological-sample settings does not change the CPUE.

Functions

  • sample_catch(): observed catch by fleet (t).

  • sample_effort(): observed nominal effort by fleet, in fishing days (relative effort x effort_days of the fleet).

  • sample_cpue(): CPUE by fleet with AR1 lognormal residuals, scaled to mean 1 over the sampled years; index_true is the true vulnerable biomass (without effort creep).

  • sample_survey(): survey biomass index (relative to its mean).

  • sample_lfd(): two-stage length samples by fleet and survey, by season (see season_design()); len_mm is the lower bin limit.

  • sample_bio(): biological samples: one row per fish, by season.