A class for modelling abundance indices.
Usage
FLIndex(object, ...)
# S4 method for class 'FLQuant'
FLIndex(object, plusgroup = dims(object)$max, ...)
# S4 method for class 'missing'
FLIndex(object, ...)Slots
- type
Type of index (
character).- distribution
Statistical distribution of the index values (
character).- index
Index values (
FLQuant).- index.var
Variance of the index (
FLQuant).- catch.n
Catch numbers used to create the index (
FLQuant).- catch.wt
Catch weight of the index (
FLQuant).- effort
Effort used to create the index (
FLQuant).- sel.pattern
Selection pattern for the index (
FLQuant).- index.q
Catchability of the index (
FLQuant).- name
Name of the stock (
character).- desc
General description of the object (
character).- range
Named numeric vector containing the quant and year ranges, the plusgroup, and the period of the year, expressed as proportions of a year, that corresponds to the index (
numeric).
Examples
# Create an FLIndex object.
fli <- FLIndex(index=FLQuant(rnorm(8), dim=c(1,8)), name="myTestFLindex")
summary(fli)
#> An object of class "FLIndex"
#>
#> Name: myTestFLindex
#> Description:
#> Type :
#> Distribution :
#> Quant: quant
#> Dims: quant year unit season area iter
#> 1 8 1 1 1 1
#>
#> Range: min max pgroup minyear maxyear startf endf
#> NA NA NA 1 8 NA NA
#>
index(fli)
#> An x of class "FLQuant"
#> , , unit = unique, season = all, area = unique
#>
#> year
#> quant 1 2 3 4 5 6 7 8
#> all -0.174 -0.222 -1.010 0.481 1.604 -1.515 -1.416 0.877
#>
#> units: NA
# Creat an FLIndex object using an existing FLQuant object.
data(ple4)
# Create a perfect index of abundance from abundance at age
fli2 <- FLIndex(index=stock.n(ple4))
# Add some noise around the signal
index(fli2) <- index(fli2)*exp(rnorm(1, index(fli2)-index(fli2), 0.1))