| FLQuant {FLCore} | R Documentation |
The FLQuant class is a six-dimensional array designed to
store most quantitative data used in fisheries and population modelling.
The sixth dimensions are named. The name of the first dimension can be altered
by the user from its default, quant. This could typically be age or
length for data related to natural populations. Other dimensions are always
names as follows: year, for the calendar year of the datapoint; unit, for
any kind of division of the population, e.g. by sex; season, for any temporal
strata shorter than year; area, for any kind of spatial stratification; and
iter, for replicates obtained through bootstrap, simulation or Bayesian analysis.
In addition, FLQuant objects contain a units attribute, of class
character, intended to contain the units of measurement relevant to
the data.
array.character. signature(x=FLQuant,i=ANY,j=ANY,drop=missing) signature(x=FLQuant,i=ANY,j=ANY,value=missing) signature(e1=FLQuant,e2=FLQuant) signature(x=FLQuant,row.names=ANY,optional=ANY) signature(x=missing) signature(x=formula,data=FLQuant) signature(x=formula,data=FLQuant) signature(x=formula,data=FLQuant) signature(object=FLCatch,value=FLQuant) signature(object=FLStock,value=FLQuant) signature(object=FLCatch,value=FLQuant) signature(object=FLStock,value=FLQuant) signature(object=FLIndex,value=FLQuant) signature(object=FLCatch,value=FLQuant) signature(object=FLStock,value=FLQuant) signature(object=FLIndex,value=FLQuant) signature(from=NULL,to=FLQuant,strict=missing) signature(object=missing) signature(x=missing,value=missing) signature(obj=missing) signature(object=FLCatch,value=FLQuant) signature(object=FLStock,value=FLQuant) signature(object=FLCatch,value=FLQuant) signature(object=FLStock,value=FLQuant) signature(object=FLCatch,value=FLQuant) signature(object=FLStock,value=FLQuant) signature(x=formula,data=FLQuant) signature(object=missing) signature(object=FLBiol,value=FLQuant) signature(object=missing) signature(object=missing) signature(catches=missing) signature(object=missing) signature(object=missing) signature(object=FLQuant,model=missing) signature(object=FLQuant,model=character) signature(object=FLQuant,model=function) signature(object=FLQuant,model=formula) signature(object=FLStock,value=FLQuant) signature(x=formula,data=FLQuant) signature(object=missing) signature(object=missing,value=missing) signature(object=missing) signature(object=FLCatch,value=FLQuant) signature(object=FLStock,value=FLQuant) signature(object=FLCatch,value=FLQuant) signature(object=FLStock,value=FLQuant) signature(object=FLCatch,value=FLQuant) signature(object=FLStock,value=FLQuant) signature(object=FLStock,value=FLQuant) signature(object=FLBiol,value=FLQuant) signature(object=FLBiol,value=FLQuant) signature(x=missing) signature(x=FLQuant,y=missing) signature(object=FLCatch,value=FLQuant) signature(x=missing) signature(object=missing) signature(object=missing) signature(object=missing,value=missing) signature(x=missing) signature(n=numeric,meanlog=FLQuant,sdlog=FLQuant) signature(n=numeric,meanlog=FLQuant,sdlog=numeric) signature(n=numeric,meanlog=numeric,sdlog=FLQuant) signature(n=numeric,mean=FLQuant,sd=FLQuant) signature(object=missing) signature(object=FLBiol,value=FLQuant) signature(x=formula,data=FLQuant) signature(object=missing) signature(object=missing) signature(x=missing) signature(x=FLQuant,value=character) signature(x=missing) signature(object=FLBiol,value=FLQuant) signature(x=formula,data=FLQuant) The FLR Team
[, [<-, apply, Arith, as.data.frame, as.FLQuant, barchart, bubbles, bwplot, catch<-, catch.n<-, catch.wt<-, coerce, cv, dimnames<-, dims, discards<-, discards.n<-, discards.wt<-, dotplot, E, fec<-, FLCatch, FLCohort, FLMetier, FLQuant, FLQuantPoint, FLSR, harvest<-, histogram, iter, iter<-, iters, landings<-, landings.n<-, landings.wt<-, m<-, n<-, names, plot, price<-, print, propagate, quant, quant<-, quantile, rlnorm, rnorm, show, spwn<-, stripplot, summary, trim, units, units<-, window, wt<-, xyplot, array
# creating a new FLQuant flq <- FLQuant(rnorm(200), dimnames=list(age=1:5, year=2000:2008), units='diff') summary(flq) flq[1,] flq[,1] flq[1,1] <- 0 units(flq) quant(flq) xyplot(data ~ year, data=flq, type='b', main='FLQ Test Plot', groups=age, ylab='diff', xlab='', pch=19, auto.key=TRUE)