# window.R - DESC # /window.R # Copyright European Union, 2016 # Author: Iago Mosqueira (EC JRC) # # Distributed under the terms of the European Union Public Licence (EUPL) V.1.1. # stf(FLStock) {{{ #' stf for FLStock #' @rdname stf #' @examples #' data(ple4) #' proj <- stf(ple4, 3) setMethod('stf', signature(object='FLStock'), function(object, nyears=3, wts.nyears=3, fbar.nyears=wts.nyears, f.rescale=FALSE, arith.mean=TRUE, na.rm=TRUE, end=dims(object)$maxyear + nyears, disc.nyears=wts.nyears) { res <- fwdWindow(object, end=end, fun=ifelse(arith.mean, 'mean', 'geomean'), years=list(wt=wts.nyears, mat=wts.nyears, m=wts.nyears, spwn=wts.nyears, discards.ratio=wts.nyears, catch.sel=fbar.nyears)) # f.rescale if(f.rescale) { fbar.ages <- ac(seq(range(object, 'minfbar'), range(object, 'maxfbar'))) fbar.years <- ac(seq(end - fbar.nyears + 1, end)) years <- ac(seq(dims(object)$maxyear + 1, end)) # mean f over fbar ages and years fbar <- mean(apply(slot(res, 'harvest')[fbar.ages, fbar.years], c(2:6), mean, na.rm=na.rm)) # fbar for last REAL year lastfbar <- apply(slot(res, 'harvest')[fbar.ages, ac(dims(object)$maxyear)], 3:6, mean, na.rm=na.rm) # divide by fbar and multiply by lastfbar slot(res, 'harvest')[, years] <- sweep(slot(res, 'harvest')[, years], 3:6, fbar, '/') slot(res, 'harvest')[, years] <- sweep(slot(res, 'harvest')[, years], 3:6, lastfbar, '*') } return(res) } ) # }}} # stf(FLBiol) {{{ #' @rdname stf setMethod('stf', signature(object='FLBiol'), function(object, nyears=3, wts.nyears=3, arith.mean=TRUE, na.rm=TRUE, end=dims(object)$maxyear + nyears) { dims <- dims(object) # check nyears and end match if(missing(nyears)) nyears <- as.numeric(end) - dims$maxyear else if(dims$maxyear + nyears != end) stop("'nyears' and 'end' do not match: ", dims$maxyear + nyears, " vs. ", end) # years years <- ac((dims$maxyear+1):end) wts.years <- ac(seq(dims$maxyear-wts.nyears+1, dims$maxyear)) # arith or geometric if(arith.mean) fmean <- mean else fmean <- function(x) exp(mean(log(x))) # window object res <- window(object, end=end) # average slots # *.wt, mat, m and *.spwn as average over wts.years for (i in c('wt', 'm', 'spwn')) slot(res, i)[,years] <- apply(slot(res, i)[,wts.years], c(1,3:6), fmean, na.rm=TRUE) return(res) } ) # }}} # stf(FLStocks) {{{ #' @rdname stf setMethod("stf", signature(object="FLStocks"), function(object, ... ) { lapply(object, stf, ...) } ) # }}}