Skip to contents

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.

...

These dots are for future extensions and must be empty.

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