Prepare object for future projection

Source: R/generics.R, R/window.R

Similar to the old STF method in FLAssess. Extends the object by a number of years and fill in the life history characteristics by taking a mean of the last few years.

stf(object, ...)

# S4 method for FLStock
stf(
  object,
  nyears = 3,
  wts.nyears = 3,
  fbar.nyears = wts.nyears,
  f.rescale = FALSE,
  arith.mean = TRUE,
  na.rm = TRUE,
  end = dims(object)$maxyear + nyears,
  disc.nyears = wts.nyears
)

# S4 method for FLBiol
stf(
  object,
  nyears = 3,
  wts.nyears = 3,
  arith.mean = TRUE,
  na.rm = TRUE,
  end = dims(object)$maxyear + nyears
)

# S4 method for FLStocks
stf(object, ...)

Arguments

object

The object (FLStock or FLBiol)

...

Other things.

nyears

Number of years to extend the object

wts.nyears

Number of years to average over to get the future mean weights at age.

fbar.nyears

Number of years to average the F over (only used if object is an FLStock)

f.rescale

Rescale F (TRUE or FALSE - default is FALSE)

arith.mean

If TRUE the arithmetic mean is used. If FALSE the geometric mean is used. Default is TRUE.

na.rm

For the mean function.

end

My beautiful friend

disc.nyears

Number of years to average over to get the future mean proportion of discards at age.

Examples

data(ple4)
proj <- stf(ple4, 3)