Tabulate Stock-Recruitment Parameters

Tabulate Stock-Recruitment Parameters

Usage

ypr_tabulate_sr(object, ...)

# Default S3 method
ypr_tabulate_sr(
  object,
  Ly = 0,
  harvest = TRUE,
  biomass = FALSE,
  all = FALSE,
  ...
)

# S3 method for class 'ypr_populations'
ypr_tabulate_sr(
  object,
  Ly = 0,
  harvest = TRUE,
  biomass = FALSE,
  all = FALSE,
  ...
)

Arguments

object

The population or populations.

...

Unused parameters.

Ly

The minimum length (trophy) fish to consider when calculating the yield (cm).

harvest

A flag specifying whether to calculate the yield for harvested fish or captures.

biomass

A flag specifying whether to calculate the yield in terms of the biomass versus number of individuals.

all

A flag specifying whether to include all parameter values.

Value

A data.frame of stock-recruitment parameters.

Methods (by class)

• ypr_tabulate_sr(default): Tabulate Stock-Recruitment Parameters

• ypr_tabulate_sr(ypr_populations): Tabulate Stock-Recruitment Parameters

See also

Other tabulate: ypr_detabulate_parameters(), ypr_report(), ypr_tabulate_biomass(), ypr_tabulate_fish(), ypr_tabulate_parameters(), ypr_tabulate_schedule(), ypr_tabulate_yield(), ypr_tabulate_yields()

Other populations: as_ypr_populations(), chilliwack_bt_05, ypr_plot_yield(), ypr_populations(), ypr_populations_expand(), ypr_tabulate_yield(), ypr_tabulate_yields()

Other sr: ypr_plot_sr(), ypr_sr()

Examples

ypr_tabulate_sr(ypr_population()) # Beverton-Holt
#> # A tibble: 3 × 7
#>   Type        pi     u  Eggs Recruits Spawners Fecundity
#>   <chr>    <dbl> <dbl> <dbl>    <dbl>    <dbl>     <dbl>
#> 1 unfished 0     0     2386.    0.667    1.33      3600.
#> 2 actual   0.2   0.2    272.    0.186    0.211     2580.
#> 3 optimal  0.115 0.115  853.    0.417    0.582     2933.
ypr_tabulate_sr(ypr_population(BH = 0L)) # Ricker
#> # A tibble: 3 × 7
#>   Type        pi     u  Eggs Recruits Spawners Fecundity
#>   <chr>    <dbl> <dbl> <dbl>    <dbl>    <dbl>     <dbl>
#> 1 unfished 0     0     3563.    0.995    1.98      3600.
#> 2 actual   0.2   0.2    667.    0.455    0.517     2580.
#> 3 optimal  0.135 0.135 1485.    0.787    1.04      2844.
ypr_tabulate_sr(ypr_populations(Rk = c(2.5, 4.6)))
#> # A tibble: 6 × 8
#>   Type         pi      u   Eggs Recruits Spawners Fecundity    Rk
#>   <chr>     <dbl>  <dbl>  <dbl>    <dbl>    <dbl>     <dbl> <dbl>
#> 1 unfished 0      0      2148.    0.6      1.19       3600.   2.5
#> 2 actual   0.2    0.2      33.6   0.0230   0.0261     2580.   2.5
#> 3 optimal  0.0936 0.0936  818.    0.364    0.538      3041.   2.5
#> 4 unfished 0      0      2801.    0.783    1.56       3600.   4.6
#> 5 actual   0.2    0.2     687.    0.469    0.533      2580.   4.6
#> 6 optimal  0.171  0.171   851.    0.522    0.633      2688.   4.6