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Lattice methods

Source: R/plot.R
lattice.Rd

Implementation of Trellis graphics in FLR

Usage

# S4 method for formula,FLQuant
xyplot(x, data, ...)

# S4 method for formula,FLCohort
xyplot(x, data, ...)

# S4 method for formula,FLQuants
xyplot(x, data, ...)

# S4 method for formula,FLComp
xyplot(x, data, ...)

# S4 method for formula,FLQuant
bwplot(x, data, ...)

# S4 method for formula,FLComp
bwplot(x, data, ...)

# S4 method for formula,FLQuant
dotplot(x, data, ...)

# S4 method for formula,FLComp
dotplot(x, data, ...)

# S4 method for formula,FLQuant
barchart(x, data, ...)

# S4 method for formula,FLComp
barchart(x, data, ...)

# S4 method for formula,FLQuant
stripplot(x, data, ...)

# S4 method for formula,FLComp
stripplot(x, data, ...)

# S4 method for formula,FLQuant
histogram(x, data, ...)

# S4 method for formula,FLComp
histogram(x, data, ...)

# S4 method for formula,FLQuants
histogram(x, data, ...)

# S4 method for formula,FLPar
densityplot(x, data, ...)

Details

Plot methods in the lattice package are available for an object of classes FLQuant, FLQuants or those derived from FLComp.

See the help page in lattice for a full description of each plot method and all possible arguments.

Plot methods from lattice are called by passing a data.frame obtained by converting the FLR objects using as.data.frame. For details on this transformation, see as.data.frame-FLCore.

Generic function

barchart(x, data, ...)

bwplot(x, data, ...)

densityplot(x, data, ...)

dotplot(x, data, ...)

histogram(x, data, ...)

stripplot(x, data, ...)

xyplot(x, data, ...)

See also

xyplot, barchart, bwplot, densityplot, dotplot, histogram, stripplot

Author

The FLR Team

Examples


data(ple4)
# xyplot on FLQuant
  xyplot(data~year|age, catch.n(ple4)[, 1:20])

  xyplot(data~year|as.factor(age), catch.n(ple4)[, 1:20], type='b', pch=19,
    cex=0.5)


# bwplot on FLQuant with iter...
  flq <- rnorm(100, catch.n(ple4)[, 1:20], catch.n(ple4)[,1:20])
  bwplot(data~year|as.factor(age), flq)

# ...now with same style modifications
  bwplot(data~year|as.factor(age), flq, scales=list(relation='free',
    x=list(at=seq(1, 20, by=5),
    labels=dimnames(catch.n(ple4)[,1:20])$year[seq(1, 20, by=5)])),
    cex=0.5, strip=strip.custom(strip.names=TRUE, strip.levels=TRUE,
    var.name='age'))