#' Get the weight-at-age data from the NWFSC server
#'
#' @param savedir A string specifying the path of interest.
#'
#' @export
#' @author Kelli F. Johnson
#'
process_weight_at_age_survey <- function(savedir = hakedata_wd()) {
final_data <- pull_survey_weight_at_age() |>
dplyr::arrange(Source, Year, Month, Sex, Age_yrs) |>
as.data.frame()
file_path <- fs::path(savedir, "survey-weight-at-age.csv")
utils::write.csv(
x = final_data,
file = file_path,
quote = FALSE,
row.names = FALSE
)
return(invisible(final_data))
}
#' Get the weight-at-age data from the commercial fisheries
#'
#' After reading in the saved `.Rdat` files from each database, the data
#' is massaged and anything from 2008 or newer is changed.
#' @param savedir A string specifying the path of interest.
#'
#' @export
#' @author Kelli F. Johnson
#'
process_weight_at_age_us <- function(savedir = hakedata_wd()) {
base::load(file.path(savedir, "extractedData", "nages.Rdat"))
base::load(file.path(savedir, "extractedData", "page.Rdat"))
final_data <- dplyr::bind_rows(
US_atsea = nages |>
dplyr::rename(
Weight_kg = "WEIGHT",
Sex = "SEX",
Age_yrs = "AGE",
Length_cm = "LENGTH"
) |>
dplyr::mutate(
Year = as.numeric(Year, as.is = TRUE),
Month = as.numeric(Month, as.is = TRUE)
) |>
dplyr::select(Weight_kg, Sex, Age_yrs, Length_cm, Month, Year),
US_shore = page |>
dplyr::rename(
Sex = "SEX",
Age_yrs = "AGE",
Month = "SAMPLE_MONTH",
Year = "SAMPLE_YEAR"
) |>
dplyr::mutate(
Weight_kg = FISH_WEIGHT / 1000,
Length_cm = FISH_LENGTH / 10
) |>
dplyr::select(Weight_kg, Sex, Age_yrs, Length_cm, Month, Year),
.id = "Source"
) |>
dplyr::filter(
!is.na(Age_yrs),
!is.na(Weight_kg)
) |>
dplyr::arrange(Source, Year, Month)
write.csv(
x = final_data |> as.data.frame(),
file = fs::path(savedir, "us-weight-at-age.csv"),
quote = FALSE,
row.names = FALSE
)
}
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