Lbms class — Lbms • lbmstoolbox

Base class providing common interface and parammeters for all algorithms

Public fields

biological_params: biological parameters list
explotation_params: exploitation parameters list
catch_data: list with a long and wide catch dataframe

Methods

Public methods

Lbms$new()
Lbms$prepare_catch_data()
Lbms$transpose()
Lbms$df_to_unname_matrix()
Lbms$clone()

Method `new()`

Initialise the class

Usage

Lbms$new(
  biological_params = NULL,
  explotation_params = NULL,
  catch_data = NULL
)

Arguments

biological_params: biological parameters list
explotation_params: exploitation parameters list
icatch_data: list with a long and wide catch dataframe

Method `prepare_catch_data()`

It prepares the length frequency data for the algorithm digestion

Usage

Lbms$prepare_catch_data(data)

Arguments

data: a wide dataframe with lengths as rows and timestep as columns

Method `transpose()`

Usage

Lbms$transpose(data, row_as_numeric = TRUE, as_matrix = TRUE)

Method `df_to_unname_matrix()`

Usage

Lbms$df_to_unname_matrix(data, from_col = NULL, to_col = NULL)

Method `clone()`

The objects of this class are cloneable with this method.

Usage

Lbms$clone(deep = FALSE)

Arguments

deep: Whether to make a deep clone.