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Tabulate Yield

Source: R/tabulate-yield.R
ypr_tabulate_yield.Rd

Tabulate Yield

Usage

ypr_tabulate_yield(object, ...)

# Default S3 method
ypr_tabulate_yield(
  object,
  Ly = 0,
  harvest = TRUE,
  biomass = FALSE,
  type = "both",
  all = FALSE,
  ...
)

# S3 method for class 'ypr_populations'
ypr_tabulate_yield(
  object,
  Ly = 0,
  harvest = TRUE,
  biomass = FALSE,
  type = "both",
  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.

type

A string indicating whether to include 'both' or just the 'actual' or 'optimal' yield.

all

A flag specifying whether to include all parameter values.

Value

A data frame.

Methods (by class)

  • ypr_tabulate_yield(default): Tabulate Yield

  • ypr_tabulate_yield(ypr_populations): Tabulate Yield

See also

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

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

Other yield: ypr_plot_yield(), ypr_yield(), ypr_yields()

Examples

ypr_tabulate_yield(ypr_population())
#> # A tibble: 2 × 8
#>   Type       pi     u  Yield   Age Length Weight Effort
#>   <chr>   <dbl> <dbl>  <dbl> <dbl>  <dbl>  <dbl>  <dbl>
#> 1 actual  0.2   0.2   0.0422  6.77   62.1  2580.   2.12
#> 2 optimal 0.115 0.115 0.0670  7.36   64.6  2933.   1.16
ypr_tabulate_yield(ypr_populations(Rk = c(3, 5)))
#> # A tibble: 4 × 9
#>   Type       pi     u  Yield   Age Length Weight Effort    Rk
#>   <chr>   <dbl> <dbl>  <dbl> <dbl>  <dbl>  <dbl>  <dbl> <dbl>
#> 1 actual  0.2   0.2   0.0422  6.77   62.1  2580.   2.12     3
#> 2 optimal 0.115 0.115 0.0670  7.36   64.6  2933.   1.16     3
#> 3 actual  0.2   0.2   0.116   6.77   62.1  2580.   2.12     5
#> 4 optimal 0.183 0.183 0.117   6.87   62.6  2641.   1.92     5