FLCohort {FLCore} | R Documentation

## Class FLCohort

### Description

This class represents cohorts in columns. It simply shifts the typical matrix representation where cohorts are found on the diagonals, into a matrix where cohorts are found in columns. It is very usefull for all analysis that want to make use of cohorts instead of years.

### Slots

.Data
  Internal S4 data representation. `array`.
units
  The data units in some understandable metric. `character`

### Extends

FLArray array

### Methods

[(base) :
  Subset method
  `signature(x=FLCohort,i=ANY,j=ANY,drop=missing)`
as.data.frame(base) :
  Coerce to data.frame.
  `signature(x=FLCohort,row.names=ANY,optional=ANY)`
bubbles(FLCore) :
  Bubbles plot.
  `signature(x=formula,data=FLCohort)`
ccplot(FLCore) :
  Catch curves plot.
  `signature(x=formula,data=FLCohort)`
flc2flq(FLCore) :
  Coerce to FLQuant (deprecated).
  `signature(object=missing)`
FLCohort(FLCore) :
  Creator method based on FLQuant objects.
  `signature(object=FLQuant)`
plot(graphics) :
  Simple plot
  `signature(x=FLCohort,y=ANY)`
quant(FLCore) :
  Extract the quant dimension definition.
  `signature(object=missing)`
trim(FLCore) :
  Subset based on limiting dimnames.
  `signature(object=missing)`
units(base) :
  Extract the information about data units.
  `signature(x=missing)`
units<-(base) :
  Replace data units information.
  `signature(x=FLCohort,value=character)`
xyplot(lattice) :
  Lattice's xyplot method.
  `signature(x=formula,data=FLCohort)`

### Author(s)

The FLR Team

### See Also

[, as.data.frame, bubbles, ccplot, FLCohort,FLQuant-method, flc2flq, plot, quant, trim, units, units<-,FLCohort,character-method, xyplot, array

### Examples

    data(ple4)
    flq <- catch.n(ple4)
    flc <- FLCohort(flq)
    plot(trim(flc, cohort=1960:2000))

[Package FLCore version 2.2 Index]