#' xxx
#'
#' \code{get.summedLF.5deg.f} yyy
#'
#' @export
get.summedLF.5deg.f = function(well.samps,dph.vesno.flg,nyear,Species) {
# edited June 3, 2019 to output number of well samples and year
#
# get 5 degree square, QUARTER and set type information in data
if(Species=="BET") spp <- 1
if(Species=="YFT") spp <- 2
if(Species=="SKJ") spp <- 3
quarter <- rep(1, length(well.samps$ancillary.info$month))
quarter[well.samps$ancillary.info$month >= 4 &
well.samps$ancillary.info$month <= 6] <- 2
quarter[well.samps$ancillary.info$month >= 7 &
well.samps$ancillary.info$month <= 9] <- 3
quarter[well.samps$ancillary.info$month >= 10] <- 4
#
dg5.setype.qrtr.id <-
paste(
well.samps$ancillary.info$lat.5deg[well.samps$What.ij[, spp] > 0 &
dph.vesno.flg],
well.samps$ancillary.info$lon.5deg[well.samps$What.ij[, spp] > 0 &
dph.vesno.flg],
well.samps$ancillary.info$setype[well.samps$What.ij[, spp] > 0 &
dph.vesno.flg],
quarter[well.samps$What.ij[, spp] > 0 & dph.vesno.flg],
sep = ":"
)
unq.setype.dg5.qrtr.id <- unique(dg5.setype.qrtr.id)
num.setype.dg5.qrtr.id <- length(unq.setype.dg5.qrtr.id)
num.wellsamps <- rep(NA, length(num.setype.dg5.qrtr.id))
#
tmplf <-
well.samps$Nhat.ijk[well.samps$What.ij[, spp] > 0 & dph.vesno.flg, , spp]
yft.summedlf <- matrix(NA, ncol = 201, nrow = num.setype.dg5.qrtr.id)
# sum yft LF by set type, 5 degree square and quarter
for (i in 1:num.setype.dg5.qrtr.id) {
tmplf.sub <- tmplf[dg5.setype.qrtr.id == unq.setype.dg5.qrtr.id[i], ]
if (is.matrix(tmplf.sub)) {
yft.summedlf[i, ] <- as.vector(apply(tmplf.sub, 2, sum))
num.wellsamps[i] <- nrow(tmplf.sub)
} else {
yft.summedlf[i, ] <- as.vector(tmplf.sub)
num.wellsamps[i] <- 1
}
}
#
xvars <-
data.frame(matrix(as.numeric(unlist(
strsplit(unq.setype.dg5.qrtr.id, "\\:")
)), ncol = 4, byrow = T))
ancil.frm <- data.frame(xvars, num.wellsamps)
names(ancil.frm) <-
c("lat.5deg", "lon.5deg", "setype", "quarter", "num.wellsamps")
ancil.frm$year <- rep(nyear, length(ancil.frm$setype))
#
return(list(ancil.info = ancil.frm, lf = yft.summedlf))
}
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