#' Generate zeros in samples using Species List information
#'
#' @param x RDBES data frame
#'
#' @return RDBES data frame where SA was complemented with species looked for
#' (sensu in sampling objectives) but not registered in sample
#'
#' @export
#'
#' examples for now see
#' https://github.com/ices-eg/WK_RDBES/tree/master/WKRDB-EST2/chairs/Nuno
#'
generateZerosUsingSL <- function(x) {
if (is.null(x$SA) | is.null(x$SL)) stop("no SA and/or SL")
tmpSA <- x$SA
tmpSL <- x$SL
ls1 <- split(tmpSA, tmpSA$SSid)
ls2 <- lapply(ls1, function(x) {
for (sppCode in tmpSL$sppCode) {
if (sppCode %in% tmpSL$sppCode) { # sppCode is not in list
if (!sppCode %in% x$speCode) {
# duplicates SA row
y <- x[1, ]
y$speCode <- sppCode
y$totalWtLive <- 0
y$sampWtLive <- 0
y$totalWtMes <- 0
y$sampWtMes <- 0
y$SAid <- min(x$SAid) - 0.001 # maintain a count
y$seqNum <- min(x$seqNum) - 0.001 # maintain a count
y$unitName <- min(x$SAid) - 0.001 # maintain a count
y$sex <- NA
y$lowHierarchy <- "D"
y$samp <- "N"
x <- rbind(y, x)
x
} else {
x
}
}
}
x <- x[order(x$SAid, decreasing = F), ]
x
})
x$SA <- data.table::rbindlist(ls2)
x
}
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