Method plot

Description

Standard plot methods for every FLR class. FLR plot methods are based on lattice, and attempt to show a general view of the object contents.

Users are encouraged to write their own plotting code make use of the overloaded lattice methods, for example xyplot or bwplot. See also lattice-FLCore.

Generic function

plot(x,y)

Methods

signature(x=FLQuant,y=missing) :

Plot of an FLQuant conditioned on all dimension of length > 1.

signature(x=FLQuantPoint,y=missing) :

Box and whiskers plot of the yearly time series, conditioned on all dimension of length > 1.

signature(x=FLPar,y=missing) :

Densityplot per parameter.

signature(x=FLStock,y=missing) :

Times series of catch and landings, recruitment, harvest and spawning stock biomass.

signature(x=FLStocks,y=missing) :

Times series of catch, recruitment, harvest and spawning stock biomass.

signature(x=FLBiol,y=missing) :

Time series of SSB and recruitment.

signature(x=FLCohort,y=missing) :

Plot of an FLQuant conditioned on all dimension of length > 1.

signature(x=FLIndex,y=missing) :

Either a time series of the standardised index by quant, type='ts', or and splom plot of a log-linear regression between quants, type='splom'.

signature(x=FLSR,y=missing) :

A six-panelled plot showing the model fit, residuals by year, AR(1) residuals, residuals by SSB, residuals by estimated recruits and a normal Q-Q plot.

Author(s)

The FLR Team

See Also

plot

Examples

# FLQuant
plot(catch.n(ple4)[, 1:20])
plot(catch.n(ple4)[, 1:20], type='b', pch=19, cex=0.5)

# FLStock
plot(ple4)

# FLBiol
plot(ple4.biol)