Add `stock_label` column to describe fisheries of dataframe
label_stocks.Rd
Streamlined version of using `left_join`, `rename`, and `relocate` to add human-readable text to a dataframe with stock_id or similar columns. Automatically detects species and `stock_id` column; user can specify species or alternative name for stock_d column if needed.
Arguments
- .data
Dataframe containing `stock_id` column (or analogous column with different name specied by `stocks_col` argument)
- species
character atomic identifying either "CHINOOK" or "COHO" (or variations of those). Defaults to `NULL`; only needed if `.data` does not have species defined as an attribute. Tables read from a fram database using `framrsquared` package automatically have appropriate species attribute.
- stocks_col
character atomic identifying the column treated as containing stock_id values Defaults to `stock_id`.
Examples
## create example data
dat = data.frame(stock_id = sample(1:73, size = 10, replace = TRUE))
## Add stock information
dat |> label_stocks(species = "CHINOOK")
#> stock_id stock_label
#> 1 43 UnMarked CR Bonneville Pool Hatchery
#> 2 5 UnMarked Nooksack Spr Hatchery
#> 3 44 Marked CR Bonneville Pool Hatchery
#> 4 61 UnMarked Fraser River Early
#> 5 34 Marked Hood Canal Fall Year
#> 6 70 Marked Central Valley Fall
#> 7 63 UnMarked Lower Georgia Strait
#> 8 4 Marked Nooksack Spr Hatchery
#> 9 34 Marked Hood Canal Fall Year
#> 10 35 UnMarked JDF Tribs. Fall