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This function calculates the selectivity for each gear, species and size from the gear parameters. It is called by setFishing() when the selectivity is not set by the user.

Usage

calc_selectivity(params)

Arguments

params

A MizerParams object

Value

An array (gear x species x size) with the selectivity values

Examples

params <- NS_params
str(calc_selectivity(params))
#>  num [1:4, 1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ...
#>  - attr(*, "dimnames")=List of 3
#>   ..$ gear: chr [1:4] "Industrial" "Pelagic" "Beam" "Otter"
#>   ..$ sp  : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...
#>   ..$ w   : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...
calc_selectivity(params)["Pelagic", "Herring", ]
#>   0.001 0.00119 0.00142  0.0017 0.00203 0.00242 0.00289 0.00345 0.00411 0.00491 
#>       0       0       0       0       0       0       0       0       0       0 
#> 0.00586 0.00699 0.00834 0.00995  0.0119  0.0142  0.0169  0.0202  0.0241  0.0288 
#>       0       0       0       0       0       0       0       0       0       0 
#>  0.0343  0.0409  0.0489  0.0583  0.0696   0.083  0.0991   0.118   0.141   0.168 
#>       0       0       0       0       0       0       0       0       0       0 
#>   0.201    0.24   0.286   0.342   0.408   0.486    0.58   0.693   0.827   0.987 
#>       0       0       0       0       0       0       0       0       0       0 
#>    1.18     1.4    1.68       2    2.39    2.85     3.4    4.06    4.84    5.78 
#>       0       0       0       0       0       0       0       0       0       0 
#>     6.9    8.23    9.82    11.7      14    16.7    19.9    23.8    28.4    33.8 
#>       0       0       0       0       0       0       0       0       0       0 
#>    40.4    48.2    57.5    68.7    81.9    97.8     117     139     166     198 
#>       0       0       0       0       0       0       1       1       1       1 
#>     237     282     337     402     480     573     683     816     973    1160 
#>       1       1       1       1       1       1       1       1       1       1 
#>    1390    1650    1970    2360    2810    3350    4000    4780    5700    6800 
#>       1       1       1       1       1       1       1       1       1       1 
#>    8120    9690   11600   13800   16500   19600   23400   28000   33400   39900 
#>       1       1       1       1       1       1       1       1       1       1