Class FLQuants

FLQuants is a list of FLQuant objects. It is very similar to the standard list class. It implements a lock mechanism that, when turned on, does not allow the user to increase or decrease the object length. The elements of FLQuants must all be of class FLQuant.

Usage

FLQuants(object, ...)

# S4 method for class 'ANY'
FLQuants(object, ...)

# S4 method for class 'FLComp'
FLQuants(object, ...)

# S4 method for class 'missing'
FLQuants(object, ...)

# S4 method for class 'list'
FLQuants(object, ...)

# S4 method for class 'FLQuants'
FLQuants(object, ...)

Arguments

object: unnamed object to be added to the list
...: other named or unnamed objects

Slots

.Data: The data. list.
names: Names of the list elements. character.
desc: Description of the object. character.
lock: Lock mechanism, if turned on the length of the list can not be modified by adding or removing elements. logical.

Constructor

A constructor method exists for this class that can take named arguments for any of the list elements.

Author

The FLR Team

Examples


# Compute various FLStock indicators
  data(ple4)
  fqs <- FLQuants(ssb=ssb(ple4), catch=catch(ple4), rec=rec(ple4),
    f=fbar(ple4))
  summary(fqs)
#> An object of class "FLQuants"
#> 
#> Elements: ssb catch rec f 
#> 
#> Name: ssb 
#> 	dim  :  1 61 1 1 1 1 
#> 	quant:  age 
#> 	units:  t 
#> 
#> 	Min    :  203390.9 
#> 	1st Qu.:  290780.2 
#> 	Mean   :  387524 
#> 	Median :  361610.5 
#> 	3rd Qu.:  430475.2 
#> 	Max    :  913289.6 
#> 	NAs    :  0 %
#> Name: catch 
#> 	dim  :  1 61 1 1 1 1 
#> 	quant:  age 
#> 	units:  t 
#> 
#> 	Min    :  78360.36 
#> 	1st Qu.:  131216.1 
#> 	Mean   :  160583.9 
#> 	Median :  149389.9 
#> 	3rd Qu.:  175881.4 
#> 	Max    :  315244.7 
#> 	NAs    :  0 %
#> Name: rec 
#> 	dim  :  1 61 1 1 1 1 
#> 	quant:  age 
#> 	units:  1000 
#> 
#> 	Min    :  367450 
#> 	1st Qu.:  674010 
#> 	Mean   :  1108991 
#> 	Median :  915553 
#> 	3rd Qu.:  1375880 
#> 	Max    :  4303680 
#> 	NAs    :  0 %
#> Name: f 
#> 	dim  :  1 61 1 1 1 1 
#> 	quant:  age 
#> 	units:  f 
#> 
#> 	Min    :  0.1964252 
#> 	1st Qu.:  0.3251898 
#> 	Mean   :  0.4379137 
#> 	Median :  0.448585 
#> 	3rd Qu.:  0.5824118 
#> 	Max    :  0.72432 
#> 	NAs    :  0 %
  xyplot(data~year|qname, fqs, type='b', scales=list(relation='free'))