standardisedsampleset: R6 class standardisedsampleset

standardisedsamplesetR Documentation

R6 class standardisedsampleset

Description

Create R6 reference object class standardisedsampleset

Methods

Public methods


Method new()

Initialize function for R6 standardisedsampleset class.

Usage
standardisedsampleset$new(
  trip_id,
  activity_id,
  well_id,
  sample_id,
  sample_quality,
  sample_type,
  specie_code,
  specie_code3l,
  sample_standardised_length_class_lf,
  sample_number_weighted,
  sample_weigth,
  sample_weight_unit,
  sample_category
)
Arguments
trip_id

Object of class character expected. Trip identification.

activity_id

Object of class character expected. Activity identification.

well_id

Object of class character expected. Well identification.

sample_id

Object of class character expected. Sample identification.

sample_quality

Object of class integer expected. Sample quality identification.

sample_type

Object of class integer expected. Sample type identification.

specie_code

Object of class integer expected. Specie code identification.

specie_code3l

Object of class character expected. Specie code identification on 3 characters.

sample_standardised_length_class_lf

Object of class integer expected. Sample standardised length class length fork of measured individus.

sample_number_weighted

Object of class numeric expected. Sample number of measured individus extrapolated to all counted individus and weighted by set weight.

sample_weigth

Object of class numeric expected. Weight (kg) of the sample number of measured individus extrapolated to all counted individus (conversion by length weight relationship: coeficient a * length class lf ^ coeficient b).

sample_weight_unit

Object of class numeric or NA expected. Weight (kg) of one individu calculated by the length weight relationship: coeficient a * length class lf ^ coeficient b).

sample_category

Object of class character expected. Sample category: -10kg or +10kg.


Method clone()

The objects of this class are cloneable with this method.

Usage
standardisedsampleset$clone(deep = FALSE)
Arguments
deep

Whether to make a deep clone.


OB7-IRD/t3 documentation built on April 23, 2023, 7:34 p.m.