Split the functional groups into species and group
split_functional_groups.RdSplit strings containing functional groups into species and group names.
Functional groups can contain age ranges, plus groups, or sub categories,
e.g., juvenile. This information is extracted from the functional group name
and returned as the group name. The functional_group_snake_case
column is created by converting the functional_group name to lowercase
and substituting spaces or hyphens with underscores.
Arguments
- x
A character vector of functional group names. This is most often created by running
unique()on the functional group column of the data.
Value
A tibble with the following three columns: functional_group, species, group, and functional_group_snake_case is returned.
Examples
# A hypothetical example of functional groups
split_functional_groups(
c("spiny dogfish 0", "spiny dogfish 1-2", "spiny dogfish +")
)
#> # A tibble: 3 × 4
#> functional_group species group functional_group_snake_case
#> <chr> <chr> <chr> <chr>
#> 1 spiny dogfish 0 spiny dogfish 0 spiny_dogfish_0
#> 2 spiny dogfish 1-2 spiny dogfish 1-2 spiny_dogfish_1_2
#> 3 spiny dogfish + spiny dogfish + spiny_dogfish_plus
split_functional_groups(c("spiny dogfish", "spiny dogfish juvenile"))
#> # A tibble: 2 × 4
#> functional_group species group functional_group_snake_case
#> <chr> <chr> <chr> <chr>
#> 1 spiny dogfish spiny dogfish NA spiny_dogfish
#> 2 spiny dogfish juvenile spiny dogfish juvenile spiny_dogfish_juvenile
data("ewe_ecosim_base_nwatlantic", package = "ecosystemom")
split_functional_groups(unique(ewe_ecosim_base_nwatlantic[["functional_group"]]))
#> # A tibble: 22 × 4
#> functional_group species group functional_group_snake_case
#> <chr> <chr> <chr> <chr>
#> 1 striped bass 0 striped bass 0 striped_bass_0
#> 2 striped bass 2-5 striped bass 2-5 striped_bass_2_5
#> 3 striped bass 6+ striped bass 6+ striped_bass_6_plus
#> 4 menhaden 0 menhaden 0 menhaden_0
#> 5 menhaden 1 menhaden 1 menhaden_1
#> 6 menhaden 2 menhaden 2 menhaden_2
#> 7 menhaden 3 menhaden 3 menhaden_3
#> 8 menhaden 4 menhaden 4 menhaden_4
#> 9 menhaden 5 menhaden 5 menhaden_5
#> 10 menhaden 6+ menhaden 6+ menhaden_6_plus
#> # ℹ 12 more rows